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"content": "\u003cp>By now, we’re used to certain artificial intelligence applications in our music-listening routine. We can hold up our phones when an unknown song is playing to learn its name, and we receive algorithm-based recommendations from streaming services for new songs based on our listening habits. \u003c/p>\n\u003cp>Letting the machines take over our music \u003cem>composition\u003c/em> has always been dicier. There is a distinct human element to music that most people cherish; ceding the moment of creation to a computer would render it cold and hollow, according to conventional thought. That’s part of what’s exhilarating about Holly Herndon’s new AI-assisted album, \u003cem>PROTO\u003c/em>: once again, Herndon has proved conventional thinking wrong.\u003c/p>\n\u003cp>For the past two years, Herndon has \u003ca href=\"https://www.newyorker.com/magazine/2019/05/20/electronic-pop-for-the-surveillance-era\" rel=\"noopener\" target=\"_blank\">built, taught, and refined\u003c/a> an artificial neural network housed inside a gaming PC nicknamed “Spawn.” The AI has learned enough from Herndon’s own voice and music to recreate a version of it by itself, and on \u003cem>PROTO\u003c/em>, its generative sounds and Herndon’s input are combined with a large folk vocal ensemble. The result is a thrilling, very human album, combining new strange mutations with choir pieces that sound centuries old. \u003c/p>\n\u003cp>Having recently completed her Ph.D. at Stanford’s Center For Computer Research In Music And Acoustics, Herndon is now taking \u003cem>PROTO\u003c/em>, and Spawn, on the road. How the AI will \u003ca href=\"https://themuse.jezebel.com/a-chat-with-holly-herndon-about-making-music-with-ai-a-1834562691\" rel=\"noopener\" target=\"_blank\">perform in real time\u003c/a> remains to be seen. But make no mistake: this isn’t music strictly for the shifty, awkward, coding art-gallery crowd. For a rare upcoming show in San Francisco, when the beat to “\u003ca href=\"https://www.youtube.com/watch?v=r4sROgbaeOs\" rel=\"noopener\" target=\"_blank\">Eternal\u003c/a>” drops, expect to see a wave of dancing as the humans claim their space.\u003c/p>\n\u003cp> \u003c/p>\n\u003cp>[ad fullwidth]\u003c/p>\n\u003cp>\u003c/p>\n\u003cp>\u003cem>Holly Herndon performs Monday, May 20, at August Hall in San Francisco. Foozool and 8uentina from Club Chai open the show. \u003ca href=\"https://www.augusthallsf.com/event/9263065/holly-herndon-foozool-8ulentina/\" rel=\"noopener\" target=\"_blank\">Details here\u003c/a>.\u003c/em>\u003c/p>\n\n",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\u003cp>By now, we’re used to certain artificial intelligence applications in our music-listening routine. We can hold up our phones when an unknown song is playing to learn its name, and we receive algorithm-based recommendations from streaming services for new songs based on our listening habits. \u003c/p>\n\u003cp>Letting the machines take over our music \u003cem>composition\u003c/em> has always been dicier. There is a distinct human element to music that most people cherish; ceding the moment of creation to a computer would render it cold and hollow, according to conventional thought. That’s part of what’s exhilarating about Holly Herndon’s new AI-assisted album, \u003cem>PROTO\u003c/em>: once again, Herndon has proved conventional thinking wrong.\u003c/p>\n\u003cp>For the past two years, Herndon has \u003ca href=\"https://www.newyorker.com/magazine/2019/05/20/electronic-pop-for-the-surveillance-era\" rel=\"noopener\" target=\"_blank\">built, taught, and refined\u003c/a> an artificial neural network housed inside a gaming PC nicknamed “Spawn.” The AI has learned enough from Herndon’s own voice and music to recreate a version of it by itself, and on \u003cem>PROTO\u003c/em>, its generative sounds and Herndon’s input are combined with a large folk vocal ensemble. The result is a thrilling, very human album, combining new strange mutations with choir pieces that sound centuries old. \u003c/p>\n\u003cp>Having recently completed her Ph.D. at Stanford’s Center For Computer Research In Music And Acoustics, Herndon is now taking \u003cem>PROTO\u003c/em>, and Spawn, on the road. How the AI will \u003ca href=\"https://themuse.jezebel.com/a-chat-with-holly-herndon-about-making-music-with-ai-a-1834562691\" rel=\"noopener\" target=\"_blank\">perform in real time\u003c/a> remains to be seen. But make no mistake: this isn’t music strictly for the shifty, awkward, coding art-gallery crowd. For a rare upcoming show in San Francisco, when the beat to “\u003ca href=\"https://www.youtube.com/watch?v=r4sROgbaeOs\" rel=\"noopener\" target=\"_blank\">Eternal\u003c/a>” drops, expect to see a wave of dancing as the humans claim their space.\u003c/p>\n\u003cp> \u003c/p>\n\u003cp>\u003c/p>\u003c/div>",
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"content": "\u003cp>When an app asks you, “Is your portrait in a museum?” and you’re a person of color, it’s likely the answer is complicated.\u003c/p>\n\u003cp>\u003ca href=\"https://www.google.com/culturalinstitute/about/\" target=\"_blank\" rel=\"noopener noreferrer\">Google Arts and Culture\u003c/a> — Google Cultural Institute’s eager nod to art world institutions — released a wildly popular feature on their \u003ca href=\"https://t.co/DUuzxlMKCd\" target=\"_blank\" rel=\"noopener noreferrer\">app\u003c/a> this month that allows users to find their art doppelgänger.\u003c/p>\n\u003cp>Once you snap a selfie on the app, your “faceprint” is charted through a series of measurements (the distance between your eyes, the width of your nose, and fullness of your lips). Your image then goes through a matching process with over \u003ca href=\"https://www.inverse.com/article/40177-google-arts-and-culture-technology\" target=\"_blank\" rel=\"noopener noreferrer\">70,000 works of art\u003c/a> in Google’s database. The artwork candidates hail from powerhouses like the Louvre, J. Paul Getty Museum and Rijksmuseum on down to a handful of smaller art foundations and contemporary galleries.\u003c/p>\n\u003cp>If you’re looking for a complete list of artwork titles and origins, you’re out of luck. Intentional or not, Google has remained somewhat tight-lipped about the artwork they’ve cataloged.\u003c/p>\n\u003cp>Nevertheless, its source material is not exactly diverse. When I conducted a search of the 100 most recent posts tagged \u003ca href=\"https://www.instagram.com/explore/tags/googleartsandculture/\" target=\"_blank\" rel=\"noopener noreferrer\">#googleartsandculture\u003c/a> on Instagram, I found that 91 percent of the artwork was created by male artists, and 63 percent was created by European and American artists before the 20th century.\u003c/p>\n\u003cp>[ad fullwidth]\u003c/p>\n\u003cp>As NPR \u003ca href=\"https://www.npr.org/sections/thetwo-way/2018/01/15/578151195/google-app-goes-viral-making-an-art-out-of-matching-faces-to-paintings\" target=\"_blank\" rel=\"noopener noreferrer\">notes\u003c/a>, the app is particularly problematic for people of color, as a good percentage of the artwork it draws from is both Western and depicting white subjects.\u003c/p>\n\u003cp>https://twitter.com/nydiahartono/status/951558504573104128\u003c/p>\n\u003cp>Then again, the mainstream art world is no stranger to being called overwhelmingly \u003ca href=\"http://www.blouinartinfo.com/news/story/840695/diversify-or-die-why-the-art-world-needs-to-keep-up-with-our\" target=\"_blank\" rel=\"noopener noreferrer\">rich\u003c/a>, \u003ca href=\"https://news.artnet.com/art-world/new-york-galleries-study-979049\" target=\"_blank\" rel=\"noopener noreferrer\">white\u003c/a> and \u003ca href=\"https://ww2.kqed.org/arts/2017/11/30/sf-gallery-tally-gender-parity-bay-area-art-galleries\" target=\"_blank\" rel=\"noopener noreferrer\">male\u003c/a>.\u003c/p>\n\u003cp>https://twitter.com/ryankubo/status/953292632481918976\u003c/p>\n\u003cp>https://twitter.com/inuyashas_/status/952956037245612034\u003c/p>\n\u003cp>And what of the facial recognition software? Even if there’s nothing inherently biased in its faceprinting technology, the lack of representation in Google’s artwork database seems to either whitewash or lump one race into a loose set of facial characteristics.\u003c/p>\n\u003cp>https://www.instagram.com/p/BeCk1llhddZ/\u003c/p>\n\u003cp>https://twitter.com/liluzi_girth/status/951913732782854149\u003c/p>\n\u003cp>This isn’t the first time Google’s facial recognition software has failed people of color. In 2015, two Google Photos users discovered, to their horror, that their selfies were tagged in a new album titled ‘\u003ca href=\"https://www.forbes.com/sites/mzhang/2015/07/01/google-photos-tags-two-african-americans-as-gorillas-through-facial-recognition-software/\" target=\"_blank\" rel=\"noopener noreferrer\">Gorillas\u003c/a>.’\u003c/p>\n\u003cp>https://twitter.com/jackyalcine/status/615329515909156865\u003c/p>\n\u003cp>Beyond faulty AI, the pool of art that’s available to Google has a lot to say about how it sees its users and which art it values.\u003c/p>\n\u003cfigure id=\"attachment_13819317\" class=\"wp-caption aligncenter\" style=\"max-width: 500px\">\u003cimg loading=\"lazy\" decoding=\"async\" class=\"wp-image-13819317\" src=\"https://ww2.kqed.org/arts/wp-content/uploads/sites/2/2018/01/D_Berry-800x799.jpg\" alt=\"\" width=\"500\" height=\"499\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry-800x799.jpg 800w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry-160x160.jpg 160w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry-768x767.jpg 768w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry.jpg 960w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry-240x240.jpg 240w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry-375x375.jpg 375w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry-520x519.jpg 520w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry-32x32.jpg 32w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry-50x50.jpg 50w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry-64x64.jpg 64w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry-96x96.jpg 96w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry-128x128.jpg 128w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry-150x150.jpg 150w\" sizes=\"(max-width: 500px) 100vw, 500px\">\u003cfigcaption class=\"wp-caption-text\">(Dorothy Berry / Facebook)\u003c/figcaption>\u003c/figure>\n\u003cblockquote>\u003cp>\u003cb>“I get the same 5 images of black women that look nothing like me and it is definitely based on nose width.”\u003c/b>\u003c/p>\u003c/blockquote>\n\u003cfigure id=\"attachment_13819316\" class=\"wp-caption aligncenter\" style=\"max-width: 500px\">\u003cimg loading=\"lazy\" decoding=\"async\" class=\"wp-image-13819316\" src=\"https://ww2.kqed.org/arts/wp-content/uploads/sites/2/2018/01/D_Berry_2-800x790.jpg\" alt=\"\" width=\"500\" height=\"494\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry_2-800x790.jpg 800w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry_2-160x158.jpg 160w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry_2-768x758.jpg 768w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry_2.jpg 960w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry_2-240x237.jpg 240w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry_2-375x370.jpg 375w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry_2-520x514.jpg 520w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry_2-32x32.jpg 32w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry_2-50x50.jpg 50w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry_2-64x64.jpg 64w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry_2-96x96.jpg 96w\" sizes=\"(max-width: 500px) 100vw, 500px\">\u003cfigcaption class=\"wp-caption-text\">(Dorothy Berry / Facebook)\u003c/figcaption>\u003c/figure>\n\u003cblockquote>\u003cp>\u003cb>“I got this one when I was frustrated.” \u003c/b>\u003c/p>\u003c/blockquote>\n\u003cp>Many of the pieces that do depict people of color are filtered through both a European and male gaze. In the examples in the second row below, Alfred Jacob Miller’s 19th-century depictions of Native Americans existed to introduce the white art-consuming audience of the day to \u003ca href=\"http://www.alfredjacobmiller.com/explore/art-of-alfred-jacob-miller/\" target=\"_blank\" rel=\"noopener noreferrer\">Westward expansion\u003c/a> and colonial exploits. In 2018, when so many contemporary artists work hard to correct such representations, what does it mean for people of color to be re-categorized through a colonial lens?\u003c/p>\n\u003cp>https://twitter.com/LinaBlanco/status/952381900508680192\u003c/p>\n\u003cp>If Google Arts and Culture truly wants to match its users with artwork, they should make a concerted effort to include collections with more diverse source material; portraiture and artwork that transcends race, gender and medium. (If Google merely wants to collect faces for its database, well, it’s \u003ca href=\"https://www.washingtonpost.com/news/the-switch/wp/2018/01/16/google-app-that-matches-your-face-to-artwork-is-wildly-popular-its-also-raising-privacy-concerns/?utm_term=.9b3df887d46f\" target=\"_blank\" rel=\"noopener noreferrer\">doing a great job\u003c/a>.)\u003c/p>\n\u003cp>https://twitter.com/peterpcullen/status/952711641912799234\u003c/p>\n\u003cp>Thankfully, recent \u003ca href=\"https://www.theatlantic.com/education/archive/2016/02/rewriting-art-history/435426/\" target=\"_blank\" rel=\"noopener noreferrer\">art movements\u003c/a> are underway to radically uproot and shatter Eurocentric biases in art history. More and more, well-known \u003ca href=\"https://ww2.kqed.org/arts/2017/09/25/de-youngs-revelations-unveils-a-hidden-history-of-black-artistic-resistance/\" target=\"_blank\" rel=\"noopener noreferrer\">institutions\u003c/a> recognize art made by and for people of color as more than token — or, god-forbid, “exotic” — collections.\u003c/p>\n\u003cp>Let’s hope Google can keep up.\u003c/p>\n\u003cp>\u003cimg loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-12127869\" src=\"https://ww2.kqed.org/arts/wp-content/uploads/sites/2/2016/09/Q.Logo_.Break_.jpg\" alt=\"\" width=\"800\" height=\"78\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/2/2016/09/Q.Logo_.Break_.jpg 800w, https://cdn.kqed.org/wp-content/uploads/sites/2/2016/09/Q.Logo_.Break_-400x39.jpg 400w, https://cdn.kqed.org/wp-content/uploads/sites/2/2016/09/Q.Logo_.Break_-768x75.jpg 768w\" sizes=\"(max-width: 800px) 100vw, 800px\">\u003c/p>\n\u003cp>\u003c/p>\n\u003cp>\u003cem>Have you used \u003ca href=\"https://www.google.com/culturalinstitute/beta/camera/selfie\" target=\"_blank\" rel=\"noopener noreferrer\">Google Art and Culture\u003c/a> app’s new selfie feature? We’d like to hear your thoughts. Share your selfie with us on \u003ca href=\"https://www.instagram.com/kqed_arts\" target=\"_blank\" rel=\"noopener noreferrer\">Instagram\u003c/a>, \u003ca href=\"https://twitter.com/KQEDarts\" target=\"_blank\" rel=\"noopener noreferrer\">Twitter\u003c/a>, or \u003ca href=\"https://www.facebook.com/kqedarts/\" target=\"_blank\" rel=\"noopener noreferrer\">Facebook\u003c/a>.\u003c/em>\u003c/p>\n\n",
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"excerpt": "It's all over your social media feeds, but not everyone finds themselves well represented in Google's version of art history.",
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"title": "Google Arts and Culture #Selfie App Inherits Art World Disparities | KQED",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\u003cp>When an app asks you, “Is your portrait in a museum?” and you’re a person of color, it’s likely the answer is complicated.\u003c/p>\n\u003cp>\u003ca href=\"https://www.google.com/culturalinstitute/about/\" target=\"_blank\" rel=\"noopener noreferrer\">Google Arts and Culture\u003c/a> — Google Cultural Institute’s eager nod to art world institutions — released a wildly popular feature on their \u003ca href=\"https://t.co/DUuzxlMKCd\" target=\"_blank\" rel=\"noopener noreferrer\">app\u003c/a> this month that allows users to find their art doppelgänger.\u003c/p>\n\u003cp>Once you snap a selfie on the app, your “faceprint” is charted through a series of measurements (the distance between your eyes, the width of your nose, and fullness of your lips). Your image then goes through a matching process with over \u003ca href=\"https://www.inverse.com/article/40177-google-arts-and-culture-technology\" target=\"_blank\" rel=\"noopener noreferrer\">70,000 works of art\u003c/a> in Google’s database. The artwork candidates hail from powerhouses like the Louvre, J. Paul Getty Museum and Rijksmuseum on down to a handful of smaller art foundations and contemporary galleries.\u003c/p>\n\u003cp>If you’re looking for a complete list of artwork titles and origins, you’re out of luck. Intentional or not, Google has remained somewhat tight-lipped about the artwork they’ve cataloged.\u003c/p>\n\u003cp>Nevertheless, its source material is not exactly diverse. When I conducted a search of the 100 most recent posts tagged \u003ca href=\"https://www.instagram.com/explore/tags/googleartsandculture/\" target=\"_blank\" rel=\"noopener noreferrer\">#googleartsandculture\u003c/a> on Instagram, I found that 91 percent of the artwork was created by male artists, and 63 percent was created by European and American artists before the 20th century.\u003c/p>\n\u003cp>\u003c/p>\u003c/div>",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003cp>As NPR \u003ca href=\"https://www.npr.org/sections/thetwo-way/2018/01/15/578151195/google-app-goes-viral-making-an-art-out-of-matching-faces-to-paintings\" target=\"_blank\" rel=\"noopener noreferrer\">notes\u003c/a>, the app is particularly problematic for people of color, as a good percentage of the artwork it draws from is both Western and depicting white subjects.\u003c/p>\u003c/p>\u003c/div>",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\n\u003cp>Then again, the mainstream art world is no stranger to being called overwhelmingly \u003ca href=\"http://www.blouinartinfo.com/news/story/840695/diversify-or-die-why-the-art-world-needs-to-keep-up-with-our\" target=\"_blank\" rel=\"noopener noreferrer\">rich\u003c/a>, \u003ca href=\"https://news.artnet.com/art-world/new-york-galleries-study-979049\" target=\"_blank\" rel=\"noopener noreferrer\">white\u003c/a> and \u003ca href=\"https://ww2.kqed.org/arts/2017/11/30/sf-gallery-tally-gender-parity-bay-area-art-galleries\" target=\"_blank\" rel=\"noopener noreferrer\">male\u003c/a>.\u003c/p>\u003c/p>\u003c/div>",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\n\u003cp>And what of the facial recognition software? Even if there’s nothing inherently biased in its faceprinting technology, the lack of representation in Google’s artwork database seems to either whitewash or lump one race into a loose set of facial characteristics.\u003c/p>\u003c/p>\u003c/div>",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\n\u003cp>This isn’t the first time Google’s facial recognition software has failed people of color. In 2015, two Google Photos users discovered, to their horror, that their selfies were tagged in a new album titled ‘\u003ca href=\"https://www.forbes.com/sites/mzhang/2015/07/01/google-photos-tags-two-african-americans-as-gorillas-through-facial-recognition-software/\" target=\"_blank\" rel=\"noopener noreferrer\">Gorillas\u003c/a>.’\u003c/p>\u003c/p>\u003c/div>",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\n\u003cp>Beyond faulty AI, the pool of art that’s available to Google has a lot to say about how it sees its users and which art it values.\u003c/p>\n\u003cfigure id=\"attachment_13819317\" class=\"wp-caption aligncenter\" style=\"max-width: 500px\">\u003cimg loading=\"lazy\" decoding=\"async\" class=\"wp-image-13819317\" src=\"https://ww2.kqed.org/arts/wp-content/uploads/sites/2/2018/01/D_Berry-800x799.jpg\" alt=\"\" width=\"500\" height=\"499\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry-800x799.jpg 800w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry-160x160.jpg 160w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry-768x767.jpg 768w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry.jpg 960w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry-240x240.jpg 240w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry-375x375.jpg 375w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry-520x519.jpg 520w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry-32x32.jpg 32w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry-50x50.jpg 50w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry-64x64.jpg 64w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry-96x96.jpg 96w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry-128x128.jpg 128w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry-150x150.jpg 150w\" sizes=\"(max-width: 500px) 100vw, 500px\">\u003cfigcaption class=\"wp-caption-text\">(Dorothy Berry / Facebook)\u003c/figcaption>\u003c/figure>\n\u003cblockquote>\u003cp>\u003cb>“I get the same 5 images of black women that look nothing like me and it is definitely based on nose width.”\u003c/b>\u003c/p>\u003c/blockquote>\n\u003cfigure id=\"attachment_13819316\" class=\"wp-caption aligncenter\" style=\"max-width: 500px\">\u003cimg loading=\"lazy\" decoding=\"async\" class=\"wp-image-13819316\" src=\"https://ww2.kqed.org/arts/wp-content/uploads/sites/2/2018/01/D_Berry_2-800x790.jpg\" alt=\"\" width=\"500\" height=\"494\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry_2-800x790.jpg 800w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry_2-160x158.jpg 160w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry_2-768x758.jpg 768w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry_2.jpg 960w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry_2-240x237.jpg 240w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry_2-375x370.jpg 375w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry_2-520x514.jpg 520w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry_2-32x32.jpg 32w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry_2-50x50.jpg 50w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry_2-64x64.jpg 64w, https://cdn.kqed.org/wp-content/uploads/sites/2/2018/01/D_Berry_2-96x96.jpg 96w\" sizes=\"(max-width: 500px) 100vw, 500px\">\u003cfigcaption class=\"wp-caption-text\">(Dorothy Berry / Facebook)\u003c/figcaption>\u003c/figure>\n\u003cblockquote>\u003cp>\u003cb>“I got this one when I was frustrated.” \u003c/b>\u003c/p>\u003c/blockquote>\n\u003cp>Many of the pieces that do depict people of color are filtered through both a European and male gaze. In the examples in the second row below, Alfred Jacob Miller’s 19th-century depictions of Native Americans existed to introduce the white art-consuming audience of the day to \u003ca href=\"http://www.alfredjacobmiller.com/explore/art-of-alfred-jacob-miller/\" target=\"_blank\" rel=\"noopener noreferrer\">Westward expansion\u003c/a> and colonial exploits. In 2018, when so many contemporary artists work hard to correct such representations, what does it mean for people of color to be re-categorized through a colonial lens?\u003c/p>\u003c/p>\u003c/div>",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\n\u003cp>If Google Arts and Culture truly wants to match its users with artwork, they should make a concerted effort to include collections with more diverse source material; portraiture and artwork that transcends race, gender and medium. (If Google merely wants to collect faces for its database, well, it’s \u003ca href=\"https://www.washingtonpost.com/news/the-switch/wp/2018/01/16/google-app-that-matches-your-face-to-artwork-is-wildly-popular-its-also-raising-privacy-concerns/?utm_term=.9b3df887d46f\" target=\"_blank\" rel=\"noopener noreferrer\">doing a great job\u003c/a>.)\u003c/p>\u003c/p>\u003c/div>",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\n\u003cp>Thankfully, recent \u003ca href=\"https://www.theatlantic.com/education/archive/2016/02/rewriting-art-history/435426/\" target=\"_blank\" rel=\"noopener noreferrer\">art movements\u003c/a> are underway to radically uproot and shatter Eurocentric biases in art history. More and more, well-known \u003ca href=\"https://ww2.kqed.org/arts/2017/09/25/de-youngs-revelations-unveils-a-hidden-history-of-black-artistic-resistance/\" target=\"_blank\" rel=\"noopener noreferrer\">institutions\u003c/a> recognize art made by and for people of color as more than token — or, god-forbid, “exotic” — collections.\u003c/p>\n\u003cp>Let’s hope Google can keep up.\u003c/p>\n\u003cp>\u003cimg loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-12127869\" src=\"https://ww2.kqed.org/arts/wp-content/uploads/sites/2/2016/09/Q.Logo_.Break_.jpg\" alt=\"\" width=\"800\" height=\"78\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/2/2016/09/Q.Logo_.Break_.jpg 800w, https://cdn.kqed.org/wp-content/uploads/sites/2/2016/09/Q.Logo_.Break_-400x39.jpg 400w, https://cdn.kqed.org/wp-content/uploads/sites/2/2016/09/Q.Logo_.Break_-768x75.jpg 768w\" sizes=\"(max-width: 800px) 100vw, 800px\">\u003c/p>\n\u003cp>\u003c/p>\n\u003cp>\u003cem>Have you used \u003ca href=\"https://www.google.com/culturalinstitute/beta/camera/selfie\" target=\"_blank\" rel=\"noopener noreferrer\">Google Art and Culture\u003c/a> app’s new selfie feature? We’d like to hear your thoughts. Share your selfie with us on \u003ca href=\"https://www.instagram.com/kqed_arts\" target=\"_blank\" rel=\"noopener noreferrer\">Instagram\u003c/a>, \u003ca href=\"https://twitter.com/KQEDarts\" target=\"_blank\" rel=\"noopener noreferrer\">Twitter\u003c/a>, or \u003ca href=\"https://www.facebook.com/kqedarts/\" target=\"_blank\" rel=\"noopener noreferrer\">Facebook\u003c/a>.\u003c/em>\u003c/p>\n\n\u003c/div>\u003c/p>",
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"content": "\u003cp>Artificial intelligence is all the rage these days in Silicon Valley – and no wonder. There appears to be no end to the possible applications. Some say AI is simply freeing humans of the \u003ci>boring\u003c/i> tasks, so we can pursue activities that bring us joy. But what if AI is better at those things, too? Like, writing music?\u003c/p>\n\u003cp>For starters, we’re way past the advent of computer-composed music. That hurdle was crossed back in 1957 when professors Lejaren Hiller and Leonard Isaacson at the University of Illinois at Urbana-Champaign programmed the “Illiac Suite for String Quartet,” on the ILLIAC I computer.\u003c/p>\n\u003cp>[youtube https://www.youtube.com/watch?v=n0njBFLQSk8]\u003c/p>\n\u003cp>Another big moment in computer music history: 1996, when \u003ca href=\"https://twitter.com/dark_shark/status/712129070725730304\" target=\"_blank\" rel=\"noopener\">Brian Eno\u003c/a>’s album “Generative Music 1” was released on floppy disk, an old form of data storage familiar to Baby Boomers.\u003c/p>\n\u003cp>Here’s Eno back in the day talking about it on the now defunct BBC Radio 3 program, \u003cem>Mixing It\u003c/em>. “To explain this simply, in the computer there’s a little synthesizer, basically. What I do is provide sets of rules that tell the computer how to make that sound card work,” Eno says.\u003c/p>\n\u003cp>[ad fullwidth]\u003c/p>\n\u003cp>The music his programming generated was different every time the program was run, but the code essentially dictated the output.\u003c/p>\n\u003cp>[youtube https://www.youtube.com/watch?v=yJgAQ3xWMoA]\u003c/p>\n\u003cp>Today, scientists at lots of tech companies are working on something a little more sophisticated. Neural networks develop their own rules from the materials they’re fed.\u003c/p>\n\u003cp>Research scientist Doug Eck runs a group at Google called \u003ca href=\"https://magenta.tensorflow.org/blog/\" target=\"_blank\" rel=\"noopener\">Magenta\u003c/a>. “I think that what we’re doing that’s different from previous attempts to apply technology and computation to art is really caring about machine learning, specifically. Deep neural networks. Recurrent neural networks. Reinforcement learning. I guess the best way to put it is: it’s easier to help a machine learn to solve a problem with data than to try to build the solution in.”\u003c/p>\n\u003cp>Translation: they’re crafting software that loosely imitates how \u003ci>your brain\u003c/i> works.\u003c/p>\n\u003cp>It’s amazing how much we take for granted enjoying just about any composition. \u003cb>\u003c/b>Musicians — and scientists — will tell you there’s a shockingly long list of things your brain is responding to: including rhythm, tonality, repetition, but also the way the melody \u003ci>develops,\u003c/i> so it’s not exactly the same thing you heard a few bars before. You can write code that mimics all that? Scientists are getting there.\u003c/p>\n\u003cp>Software engineer Dan Abolafia says, “We starting to give these neural networks memory, to be able to remember what it did in a piece of music and have more intention about how it wants to build on that— which is surprisingly not something we were able to do not too long ago,” Abolafia says.\u003c/p>\n\u003cfigure id=\"attachment_13819189\" class=\"wp-caption aligncenter\" style=\"max-width: 640px\">\u003cimg loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-13819189\" src=\"https://ww2.kqed.org/arts/wp-content/uploads/sites/2/2018/01/performance_rnn.gif\" alt=\"AI is getting better all the time. Performance RNN, for instance, is a recurrent neural network from the Google Magenta team designed to model polyphonic music with expressive timing and dynamics.\" width=\"640\" height=\"400\">\u003cfigcaption class=\"wp-caption-text\">AI is getting better all the time. Performance RNN, for instance, is a recurrent neural network from the Google Magenta team designed to model polyphonic music with expressive timing and dynamics. \u003ccite>(Photo: Courtesy of Google)\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003cp>He adds, “the second, much harder goal is to give the computer an ear, so to speak. To hear the music and decide if it sounds good or not. That’s something that people are starting to do with a technique called reinforcement learning.\u003c/p>\n\u003cp>So where is this all going? The team at Google won’t tell you they’re trying to replace human composers, so much as they’re trying to help human composers with a new set of tools.\u003c/p>\n\u003cp>Eck explains, “We’re talking about building tools for creative people. So at the end of the day, I don’t have this vision that someone is going to take Magenta-generated music and just kind of sit in a chair with two big speakers, and say ‘OK, I’m going to listen to this.’ I want the models to generate interesting music, and interesting art. so that you can try to do some new things.”\u003c/p>\n\u003cp>Think about the advent of photography. It didn’t end visual art. Instead, it shifted what artists wanted to say and how. Google has made its code open to the public, to encourage people like music producer Andrew Huang to play with it (and also promote it).\u003c/p>\n\u003cp>[youtube https://www.youtube.com/watch?v=AaALLWQmCdI]\u003c/p>\n\u003cp>Among other things, Huang got jazzed about the capacity of Google’s software to smerge totally unrelated sounds to create new sounds. “What if we take this baby goat and combine that with that 3D printer? Oops, just summoned Satan,” he says of the result.\u003c/p>\n\u003cp>Huang crowd-sourced a bunch of raw sounds from his social media fans, and sent that along to Google along with some drum samples. Google smerged a bunch of new sounds, sent them back to Huang and he arranged them into a compelling composition.\u003c/p>\n\u003cp>\u003c/p>\n\u003cp>It’s not bad. It’s not quite my cup of tea, either, but a lot of what makes music exciting to me is messy, idiosyncratic and specific to time and place. Then again, wait a few years, and it’s possible AI will be able to replicate that, too.\u003c/p>\n\n",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\u003cp>Artificial intelligence is all the rage these days in Silicon Valley – and no wonder. There appears to be no end to the possible applications. Some say AI is simply freeing humans of the \u003ci>boring\u003c/i> tasks, so we can pursue activities that bring us joy. But what if AI is better at those things, too? Like, writing music?\u003c/p>\n\u003cp>For starters, we’re way past the advent of computer-composed music. That hurdle was crossed back in 1957 when professors Lejaren Hiller and Leonard Isaacson at the University of Illinois at Urbana-Champaign programmed the “Illiac Suite for String Quartet,” on the ILLIAC I computer.\u003c/p>\n\u003cp>\u003c/p>\u003cp>\u003cspan class='utils-parseShortcode-shortcodes-__youtubeShortcode__embedYoutube'>\n \u003cspan class='utils-parseShortcode-shortcodes-__youtubeShortcode__embedYoutubeInside'>\n \u003ciframe\n loading='lazy'\n class='utils-parseShortcode-shortcodes-__youtubeShortcode__youtubePlayer'\n type='text/html'\n src='//www.youtube.com/embed/n0njBFLQSk8'\n title='//www.youtube.com/embed/n0njBFLQSk8'\n allowfullscreen='true'\n style='border:0;'>\u003c/iframe>\n \u003c/span>\n \u003c/span>\u003c/p>\u003cp>\u003c/p>\n\u003cp>Another big moment in computer music history: 1996, when \u003ca href=\"https://twitter.com/dark_shark/status/712129070725730304\" target=\"_blank\" rel=\"noopener\">Brian Eno\u003c/a>’s album “Generative Music 1” was released on floppy disk, an old form of data storage familiar to Baby Boomers.\u003c/p>\n\u003cp>Here’s Eno back in the day talking about it on the now defunct BBC Radio 3 program, \u003cem>Mixing It\u003c/em>. “To explain this simply, in the computer there’s a little synthesizer, basically. What I do is provide sets of rules that tell the computer how to make that sound card work,” Eno says.\u003c/p>\n\u003cp>\u003c/p>\u003c/div>",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003cp>The music his programming generated was different every time the program was run, but the code essentially dictated the output.\u003c/p>\n\u003cp>\u003c/p>\u003cp>\u003cspan class='utils-parseShortcode-shortcodes-__youtubeShortcode__embedYoutube'>\n \u003cspan class='utils-parseShortcode-shortcodes-__youtubeShortcode__embedYoutubeInside'>\n \u003ciframe\n loading='lazy'\n class='utils-parseShortcode-shortcodes-__youtubeShortcode__youtubePlayer'\n type='text/html'\n src='//www.youtube.com/embed/yJgAQ3xWMoA'\n title='//www.youtube.com/embed/yJgAQ3xWMoA'\n allowfullscreen='true'\n style='border:0;'>\u003c/iframe>\n \u003c/span>\n \u003c/span>\u003c/p>\u003cp>\u003c/p>\n\u003cp>Today, scientists at lots of tech companies are working on something a little more sophisticated. Neural networks develop their own rules from the materials they’re fed.\u003c/p>\n\u003cp>Research scientist Doug Eck runs a group at Google called \u003ca href=\"https://magenta.tensorflow.org/blog/\" target=\"_blank\" rel=\"noopener\">Magenta\u003c/a>. “I think that what we’re doing that’s different from previous attempts to apply technology and computation to art is really caring about machine learning, specifically. Deep neural networks. Recurrent neural networks. Reinforcement learning. I guess the best way to put it is: it’s easier to help a machine learn to solve a problem with data than to try to build the solution in.”\u003c/p>\n\u003cp>Translation: they’re crafting software that loosely imitates how \u003ci>your brain\u003c/i> works.\u003c/p>\n\u003cp>It’s amazing how much we take for granted enjoying just about any composition. \u003cb>\u003c/b>Musicians — and scientists — will tell you there’s a shockingly long list of things your brain is responding to: including rhythm, tonality, repetition, but also the way the melody \u003ci>develops,\u003c/i> so it’s not exactly the same thing you heard a few bars before. You can write code that mimics all that? Scientists are getting there.\u003c/p>\n\u003cp>Software engineer Dan Abolafia says, “We starting to give these neural networks memory, to be able to remember what it did in a piece of music and have more intention about how it wants to build on that— which is surprisingly not something we were able to do not too long ago,” Abolafia says.\u003c/p>\n\u003cfigure id=\"attachment_13819189\" class=\"wp-caption aligncenter\" style=\"max-width: 640px\">\u003cimg loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-13819189\" src=\"https://ww2.kqed.org/arts/wp-content/uploads/sites/2/2018/01/performance_rnn.gif\" alt=\"AI is getting better all the time. Performance RNN, for instance, is a recurrent neural network from the Google Magenta team designed to model polyphonic music with expressive timing and dynamics.\" width=\"640\" height=\"400\">\u003cfigcaption class=\"wp-caption-text\">AI is getting better all the time. Performance RNN, for instance, is a recurrent neural network from the Google Magenta team designed to model polyphonic music with expressive timing and dynamics. \u003ccite>(Photo: Courtesy of Google)\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003cp>He adds, “the second, much harder goal is to give the computer an ear, so to speak. To hear the music and decide if it sounds good or not. That’s something that people are starting to do with a technique called reinforcement learning.\u003c/p>\n\u003cp>So where is this all going? The team at Google won’t tell you they’re trying to replace human composers, so much as they’re trying to help human composers with a new set of tools.\u003c/p>\n\u003cp>Eck explains, “We’re talking about building tools for creative people. So at the end of the day, I don’t have this vision that someone is going to take Magenta-generated music and just kind of sit in a chair with two big speakers, and say ‘OK, I’m going to listen to this.’ I want the models to generate interesting music, and interesting art. so that you can try to do some new things.”\u003c/p>\n\u003cp>Think about the advent of photography. It didn’t end visual art. Instead, it shifted what artists wanted to say and how. Google has made its code open to the public, to encourage people like music producer Andrew Huang to play with it (and also promote it).\u003c/p>\n\u003cp>\u003c/p>\u003cp>\u003cspan class='utils-parseShortcode-shortcodes-__youtubeShortcode__embedYoutube'>\n \u003cspan class='utils-parseShortcode-shortcodes-__youtubeShortcode__embedYoutubeInside'>\n \u003ciframe\n loading='lazy'\n class='utils-parseShortcode-shortcodes-__youtubeShortcode__youtubePlayer'\n type='text/html'\n src='//www.youtube.com/embed/AaALLWQmCdI'\n title='//www.youtube.com/embed/AaALLWQmCdI'\n allowfullscreen='true'\n style='border:0;'>\u003c/iframe>\n \u003c/span>\n \u003c/span>\u003c/p>\u003cp>\u003c/p>\n\u003cp>Among other things, Huang got jazzed about the capacity of Google’s software to smerge totally unrelated sounds to create new sounds. “What if we take this baby goat and combine that with that 3D printer? 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"info": "\u003cem>Code Switch\u003c/em>, which listeners will hear in the first part of the hour, has fearless and much-needed conversations about race. Hosted by journalists of color, the show tackles the subject of race head-on, exploring how it impacts every part of society — from politics and pop culture to history, sports and more.\u003cbr />\u003cbr />\u003cem>Life Kit\u003c/em>, which will be in the second part of the hour, guides you through spaces and feelings no one prepares you for — from finances to mental health, from workplace microaggressions to imposter syndrome, from relationships to parenting. The show features experts with real world experience and shares their knowledge. Because everyone needs a little help being human.\u003cbr />\u003cbr />\u003ca href=\"https://www.npr.org/podcasts/510312/codeswitch\">\u003cem>Code Switch\u003c/em> offical site and podcast\u003c/a>\u003cbr />\u003ca href=\"https://www.npr.org/lifekit\">\u003cem>Life Kit\u003c/em> offical site and podcast\u003c/a>\u003cbr />",
"airtime": "SUN 9pm-10pm",
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"meta": {
"site": "radio",
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"id": "commonwealth-club",
"title": "Commonwealth Club of California Podcast",
"info": "The Commonwealth Club of California is the nation's oldest and largest public affairs forum. As a non-partisan forum, The Club brings to the public airwaves diverse viewpoints on important topics. The Club's weekly radio broadcast - the oldest in the U.S., dating back to 1924 - is carried across the nation on public radio stations and is now podcasting. Our website archive features audio of our recent programs, as well as selected speeches from our long and distinguished history. This podcast feed is usually updated twice a week and is always un-edited.",
"airtime": "THU 10pm, FRI 1am",
"imageSrc": "https://cdn.kqed.org/wp-content/uploads/2024/04/Commonwealth-Club-Podcast-Tile-360x360-1.jpg",
"officialWebsiteLink": "https://www.commonwealthclub.org/podcasts",
"meta": {
"site": "news",
"source": "Commonwealth Club of California"
},
"link": "/radio/program/commonwealth-club",
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"google": "https://podcasts.google.com/feed/aHR0cDovL3d3dy5jb21tb253ZWFsdGhjbHViLm9yZy9hdWRpby9wb2RjYXN0L3dlZWtseS54bWw",
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}
},
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"id": "forum",
"title": "Forum",
"tagline": "The conversation starts here",
"info": "KQED’s live call-in program discussing local, state, national and international issues, as well as in-depth interviews.",
"airtime": "MON-FRI 9am-11am, 10pm-11pm",
"imageSrc": "https://cdn.kqed.org/wp-content/uploads/2024/04/Forum-Podcast-Tile-703x703-1.jpg",
"imageAlt": "KQED Forum with Mina Kim and Alexis Madrigal",
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"source": "kqed",
"order": 9
},
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"google": "https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5tZWdhcGhvbmUuZm0vS1FJTkM5NTU3MzgxNjMz",
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"id": "freakonomics-radio",
"title": "Freakonomics Radio",
"info": "Freakonomics Radio is a one-hour award-winning podcast and public-radio project hosted by Stephen Dubner, with co-author Steve Levitt as a regular guest. It is produced in partnership with WNYC.",
"imageSrc": "https://ww2.kqed.org/news/wp-content/uploads/sites/10/2018/05/freakonomicsRadio.png",
"officialWebsiteLink": "http://freakonomics.com/",
"airtime": "SUN 1am-2am, SAT 3pm-4pm",
"meta": {
"site": "radio",
"source": "WNYC"
},
"link": "/radio/program/freakonomics-radio",
"subscribe": {
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"apple": "https://itunes.apple.com/us/podcast/freakonomics-radio/id354668519",
"tuneIn": "https://tunein.com/podcasts/WNYC-Podcasts/Freakonomics-Radio-p272293/",
"rss": "https://feeds.feedburner.com/freakonomicsradio"
}
},
"fresh-air": {
"id": "fresh-air",
"title": "Fresh Air",
"info": "Hosted by Terry Gross, \u003cem>Fresh Air from WHYY\u003c/em> is the Peabody Award-winning weekday magazine of contemporary arts and issues. One of public radio's most popular programs, Fresh Air features intimate conversations with today's biggest luminaries.",
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"link": "/radio/program/fresh-air",
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"apple": "https://itunes.apple.com/WebObjects/MZStore.woa/wa/viewPodcast?s=143441&mt=2&id=214089682&at=11l79Y&ct=nprdirectory",
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"rss": "https://feeds.npr.org/381444908/podcast.xml"
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"id": "here-and-now",
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"info": "A live production of NPR and WBUR Boston, in collaboration with stations across the country, Here & Now reflects the fluid world of news as it's happening in the middle of the day, with timely, in-depth news, interviews and conversation. Hosted by Robin Young, Jeremy Hobson and Tonya Mosley.",
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"rss": "https://feeds.npr.org/510051/podcast.xml"
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},
"hidden-brain": {
"id": "hidden-brain",
"title": "Hidden Brain",
"info": "Shankar Vedantam uses science and storytelling to reveal the unconscious patterns that drive human behavior, shape our choices and direct our relationships.",
"imageSrc": "https://ww2.kqed.org/radio/wp-content/uploads/sites/50/2018/05/hiddenbrain.jpg",
"officialWebsiteLink": "https://www.npr.org/series/423302056/hidden-brain",
"airtime": "SUN 7pm-8pm",
"meta": {
"site": "news",
"source": "NPR"
},
"link": "/radio/program/hidden-brain",
"subscribe": {
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"tuneIn": "https://tunein.com/podcasts/Science-Podcasts/Hidden-Brain-p787503/",
"rss": "https://feeds.npr.org/510308/podcast.xml"
}
},
"how-i-built-this": {
"id": "how-i-built-this",
"title": "How I Built This with Guy Raz",
"info": "Guy Raz dives into the stories behind some of the world's best known companies. How I Built This weaves a narrative journey about innovators, entrepreneurs and idealists—and the movements they built.",
"imageSrc": "https://ww2.kqed.org/news/wp-content/uploads/sites/10/2018/05/howIBuiltThis.png",
"officialWebsiteLink": "https://www.npr.org/podcasts/510313/how-i-built-this",
"airtime": "SUN 7:30pm-8pm",
"meta": {
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"source": "npr"
},
"link": "/radio/program/how-i-built-this",
"subscribe": {
"npr": "https://rpb3r.app.goo.gl/3zxy",
"apple": "https://itunes.apple.com/us/podcast/how-i-built-this-with-guy-raz/id1150510297?mt=2",
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"rss": "https://feeds.npr.org/510313/podcast.xml"
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},
"hyphenacion": {
"id": "hyphenacion",
"title": "Hyphenación",
"tagline": "Where conversation and cultura meet",
"info": "What kind of no sabo word is Hyphenación? For us, it’s about living within a hyphenation. Like being a third-gen Mexican-American from the Texas border now living that Bay Area Chicano life. Like Xorje! Each week we bring together a couple of hyphenated Latinos to talk all about personal life choices: family, careers, relationships, belonging … everything is on the table. ",
"imageSrc": "https://cdn.kqed.org/wp-content/uploads/2025/03/Hyphenacion_FinalAssets_PodcastTile.png",
"imageAlt": "KQED Hyphenación",
"officialWebsiteLink": "/podcasts/hyphenacion",
"meta": {
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"order": 15
},
"link": "/podcasts/hyphenacion",
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"spotify": "https://open.spotify.com/show/2p3Fifq96nw9BPcmFdIq0o?si=39209f7b25774f38",
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"amazon": "https://music.amazon.com/podcasts/6c3dd23c-93fb-4aab-97ba-1725fa6315f1/hyphenaci%C3%B3n",
"rss": "https://feeds.megaphone.fm/KQINC2275451163"
}
},
"jerrybrown": {
"id": "jerrybrown",
"title": "The Political Mind of Jerry Brown",
"tagline": "Lessons from a lifetime in politics",
"info": "The Political Mind of Jerry Brown brings listeners the wisdom of the former Governor, Mayor, and presidential candidate. Scott Shafer interviewed Brown for more than 40 hours, covering the former governor's life and half-century in the political game – and Brown has some lessons he'd like to share. ",
"imageSrc": "https://cdn.kqed.org/wp-content/uploads/2024/04/The-Political-Mind-of-Jerry-Brown-Podcast-Tile-703x703-1.jpg",
"imageAlt": "KQED The Political Mind of Jerry Brown",
"officialWebsiteLink": "/podcasts/jerrybrown",
"meta": {
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"order": 18
},
"link": "/podcasts/jerrybrown",
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"apple": "https://itunes.apple.com/us/podcast/id1492194549",
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}
},
"latino-usa": {
"id": "latino-usa",
"title": "Latino USA",
"airtime": "MON 1am-2am, SUN 6pm-7pm",
"info": "Latino USA, the radio journal of news and culture, is the only national, English-language radio program produced from a Latino perspective.",
"imageSrc": "https://ww2.kqed.org/radio/wp-content/uploads/sites/50/2018/04/latinoUsa.jpg",
"officialWebsiteLink": "http://latinousa.org/",
"meta": {
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"source": "npr"
},
"link": "/radio/program/latino-usa",
"subscribe": {
"npr": "https://rpb3r.app.goo.gl/xtTd",
"apple": "https://itunes.apple.com/WebObjects/MZStore.woa/wa/viewPodcast?s=143441&mt=2&id=79681317&at=11l79Y&ct=nprdirectory",
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"rss": "https://feeds.npr.org/510016/podcast.xml"
}
},
"marketplace": {
"id": "marketplace",
"title": "Marketplace",
"info": "Our flagship program, helmed by Kai Ryssdal, examines what the day in money delivered, through stories, conversations, newsworthy numbers and more. Updated Monday through Friday at about 3:30 p.m. PT.",
"airtime": "MON-FRI 4pm-4:30pm, MON-WED 6:30pm-7pm",
"imageSrc": "https://cdn.kqed.org/wp-content/uploads/2024/04/Marketplace-Podcast-Tile-360x360-1.jpg",
"officialWebsiteLink": "https://www.marketplace.org/",
"meta": {
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"source": "American Public Media"
},
"link": "/radio/program/marketplace",
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"rss": "https://feeds.publicradio.org/public_feeds/marketplace-pm/rss/rss"
}
},
"masters-of-scale": {
"id": "masters-of-scale",
"title": "Masters of Scale",
"info": "Masters of Scale is an original podcast in which LinkedIn co-founder and Greylock Partner Reid Hoffman sets out to describe and prove theories that explain how great entrepreneurs take their companies from zero to a gazillion in ingenious fashion.",
"airtime": "Every other Wednesday June 12 through October 16 at 8pm (repeats Thursdays at 2am)",
"imageSrc": "https://cdn.kqed.org/wp-content/uploads/2024/04/Masters-of-Scale-Podcast-Tile-360x360-1.jpg",
"officialWebsiteLink": "https://mastersofscale.com/",
"meta": {
"site": "radio",
"source": "WaitWhat"
},
"link": "/radio/program/masters-of-scale",
"subscribe": {
"apple": "http://mastersofscale.app.link/",
"rss": "https://rss.art19.com/masters-of-scale"
}
},
"mindshift": {
"id": "mindshift",
"title": "MindShift",
"tagline": "A podcast about the future of learning and how we raise our kids",
"info": "The MindShift podcast explores the innovations in education that are shaping how kids learn. Hosts Ki Sung and Katrina Schwartz introduce listeners to educators, researchers, parents and students who are developing effective ways to improve how kids learn. We cover topics like how fed-up administrators are developing surprising tactics to deal with classroom disruptions; how listening to podcasts are helping kids develop reading skills; the consequences of overparenting; and why interdisciplinary learning can engage students on all ends of the traditional achievement spectrum. This podcast is part of the MindShift education site, a division of KQED News. KQED is an NPR/PBS member station based in San Francisco. You can also visit the MindShift website for episodes and supplemental blog posts or tweet us \u003ca href=\"https://twitter.com/MindShiftKQED\">@MindShiftKQED\u003c/a> or visit us at \u003ca href=\"/mindshift\">MindShift.KQED.org\u003c/a>",
"imageSrc": "https://cdn.kqed.org/wp-content/uploads/2024/04/Mindshift-Podcast-Tile-703x703-1.jpg",
"imageAlt": "KQED MindShift: How We Will Learn",
"officialWebsiteLink": "/mindshift/",
"meta": {
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"source": "kqed",
"order": 12
},
"link": "/podcasts/mindshift",
"subscribe": {
"apple": "https://podcasts.apple.com/us/podcast/mindshift-podcast/id1078765985",
"google": "https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5tZWdhcGhvbmUuZm0vS1FJTkM1NzY0NjAwNDI5",
"npr": "https://www.npr.org/podcasts/464615685/mind-shift-podcast",
"stitcher": "https://www.stitcher.com/podcast/kqed/stories-teachers-share",
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}
},
"morning-edition": {
"id": "morning-edition",
"title": "Morning Edition",
"info": "\u003cem>Morning Edition\u003c/em> takes listeners around the country and the world with multi-faceted stories and commentaries every weekday. Hosts Steve Inskeep, David Greene and Rachel Martin bring you the latest breaking news and features to prepare you for the day.",
"airtime": "MON-FRI 3am-9am",
"imageSrc": "https://cdn.kqed.org/wp-content/uploads/2024/04/Morning-Edition-Podcast-Tile-360x360-1.jpg",
"officialWebsiteLink": "https://www.npr.org/programs/morning-edition/",
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"link": "/radio/program/morning-edition"
},
"onourwatch": {
"id": "onourwatch",
"title": "On Our Watch",
"tagline": "Deeply-reported investigative journalism",
"info": "For decades, the process for how police police themselves has been inconsistent – if not opaque. In some states, like California, these proceedings were completely hidden. After a new police transparency law unsealed scores of internal affairs files, our reporters set out to examine these cases and the shadow world of police discipline. On Our Watch brings listeners into the rooms where officers are questioned and witnesses are interrogated to find out who this system is really protecting. Is it the officers, or the public they've sworn to serve?",
"imageSrc": "https://cdn.kqed.org/wp-content/uploads/2024/04/On-Our-Watch-Podcast-Tile-703x703-1.jpg",
"imageAlt": "On Our Watch from NPR and KQED",
"officialWebsiteLink": "/podcasts/onourwatch",
"meta": {
"site": "news",
"source": "kqed",
"order": 11
},
"link": "/podcasts/onourwatch",
"subscribe": {
"apple": "https://podcasts.apple.com/podcast/id1567098962",
"google": "https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5ucHIub3JnLzUxMDM2MC9wb2RjYXN0LnhtbD9zYz1nb29nbGVwb2RjYXN0cw",
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"stitcher": "https://www.stitcher.com/show/on-our-watch",
"rss": "https://feeds.npr.org/510360/podcast.xml"
}
},
"on-the-media": {
"id": "on-the-media",
"title": "On The Media",
"info": "Our weekly podcast explores how the media 'sausage' is made, casts an incisive eye on fluctuations in the marketplace of ideas, and examines threats to the freedom of information and expression in America and abroad. For one hour a week, the show tries to lift the veil from the process of \"making media,\" especially news media, because it's through that lens that we see the world and the world sees us",
"airtime": "SUN 2pm-3pm, MON 12am-1am",
"imageSrc": "https://ww2.kqed.org/radio/wp-content/uploads/sites/50/2018/04/onTheMedia.png",
"officialWebsiteLink": "https://www.wnycstudios.org/shows/otm",
"meta": {
"site": "news",
"source": "wnyc"
},
"link": "/radio/program/on-the-media",
"subscribe": {
"apple": "https://itunes.apple.com/us/podcast/on-the-media/id73330715?mt=2",
"tuneIn": "https://tunein.com/radio/On-the-Media-p69/",
"rss": "http://feeds.wnyc.org/onthemedia"
}
},
"pbs-newshour": {
"id": "pbs-newshour",
"title": "PBS NewsHour",
"info": "Analysis, background reports and updates from the PBS NewsHour putting today's news in context.",
"airtime": "MON-FRI 3pm-4pm",
"imageSrc": "https://cdn.kqed.org/wp-content/uploads/2024/04/PBS-News-Hour-Podcast-Tile-360x360-1.jpg",
"officialWebsiteLink": "https://www.pbs.org/newshour/",
"meta": {
"site": "news",
"source": "pbs"
},
"link": "/radio/program/pbs-newshour",
"subscribe": {
"apple": "https://itunes.apple.com/us/podcast/pbs-newshour-full-show/id394432287?mt=2",
"tuneIn": "https://tunein.com/radio/PBS-NewsHour---Full-Show-p425698/",
"rss": "https://www.pbs.org/newshour/feeds/rss/podcasts/show"
}
},
"perspectives": {
"id": "perspectives",
"title": "Perspectives",
"tagline": "KQED's series of daily listener commentaries since 1991",
"info": "KQED's series of daily listener commentaries since 1991.",
"imageSrc": "https://cdn.kqed.org/wp-content/uploads/2025/01/Perspectives_Tile_Final.jpg",
"imageAlt": "KQED Perspectives",
"officialWebsiteLink": "/perspectives/",
"meta": {
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"source": "kqed",
"order": 14
},
"link": "/perspectives",
"subscribe": {
"apple": "https://podcasts.apple.com/us/podcast/id73801135",
"npr": "https://www.npr.org/podcasts/432309616/perspectives",
"rss": "https://ww2.kqed.org/perspectives/category/perspectives/feed/",
"google": "https://podcasts.google.com/feed/aHR0cHM6Ly93dzIua3FlZC5vcmcvcGVyc3BlY3RpdmVzL2NhdGVnb3J5L3BlcnNwZWN0aXZlcy9mZWVkLw"
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},
"planet-money": {
"id": "planet-money",
"title": "Planet Money",
"info": "The economy explained. Imagine you could call up a friend and say, Meet me at the bar and tell me what's going on with the economy. Now imagine that's actually a fun evening.",
"airtime": "SUN 3pm-4pm",
"imageSrc": "https://ww2.kqed.org/radio/wp-content/uploads/sites/50/2018/04/planetmoney.jpg",
"officialWebsiteLink": "https://www.npr.org/sections/money/",
"meta": {
"site": "news",
"source": "npr"
},
"link": "/radio/program/planet-money",
"subscribe": {
"npr": "https://rpb3r.app.goo.gl/M4f5",
"apple": "https://itunes.apple.com/us/podcast/planet-money/id290783428?mt=2",
"tuneIn": "https://tunein.com/podcasts/Business--Economics-Podcasts/Planet-Money-p164680/",
"rss": "https://feeds.npr.org/510289/podcast.xml"
}
},
"politicalbreakdown": {
"id": "politicalbreakdown",
"title": "Political Breakdown",
"tagline": "Politics from a personal perspective",
"info": "Political Breakdown is a new series that explores the political intersection of California and the nation. Each week hosts Scott Shafer and Marisa Lagos are joined with a new special guest to unpack politics -- with personality — and offer an insider’s glimpse at how politics happens.",
"airtime": "THU 6:30pm-7pm",
"imageSrc": "https://cdn.kqed.org/wp-content/uploads/2024/04/Political-Breakdown-2024-Podcast-Tile-703x703-1.jpg",
"imageAlt": "KQED Political Breakdown",
"officialWebsiteLink": "/podcasts/politicalbreakdown",
"meta": {
"site": "radio",
"source": "kqed",
"order": 5
},
"link": "/podcasts/politicalbreakdown",
"subscribe": {
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"amazon": "https://music.amazon.com/podcasts/e0c2d153-ad36-4c8d-901d-f1da6a724824/political-breakdown",
"npr": "https://www.npr.org/podcasts/572155894/political-breakdown",
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