AIxDESIGN Bookmark Library

AIxDESIGN Bookmark Library

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‘Artificial Intelligence?’ No, Collective Intelligence.
‘Artificial Intelligence?’ No, Collective Intelligence.
Listen to this episode from The Ezra Klein Show on Spotify. A.I.-generated art has flooded the internet, and a lot of it is derivative, even boring or offensive. But what could it look like for artists to collaborate with A.I. systems in making art that is actually generative, challenging, transcendent?Holly Herndon offered one answer with her 2019 album “PROTO.” Along with Mathew Dryhurst and the programmer Jules LaPlace, she built an A.I. called “Spawn” trained on human voices that adds an uncanny yet oddly personal layer to the music. Beyond her music and visual art, Herndon is trying to solve a problem that many creative people are encountering as A.I. becomes more prominent: How do you encourage experimentation without stealing others’ work to train A.I. models? Along with Dryhurst, Jordan Meyer and Patrick Hoepner, she co-founded Spawning, a company figuring out how to allow artists — and all of us creating content on the internet — to “consent” to our work being used as training data.In this conversation, we discuss how Herndon collaborated with a human chorus and her “A.I. baby,” Spawn, on “PROTO”; how A.I. voice imitators grew out of electronic music and other musical genres; why Herndon prefers the term “collective intelligence” to “artificial intelligence”; why an “opt-in” model could help us retain more control of our work as A.I. trawls the internet for data; and much more.Mentioned:“Fear, Uncertainty, Doubt” by Holly Herndon“xhairymutantx” by Holly Herndon and Mat Dryhurst, for the Whitney Museum of Art“Fade” by Holly Herndon“Swim” by Holly Herndon“Jolene” by Holly Herndon and Holly+“Movement” by Holly Herndon“Chorus” by Holly Herndon“Godmother” by Holly Herndon“The Precision of Infinity” by Jlin and Philip GlassHolly+Book Recommendations:Intelligence and Spirit by Reza NegarestaniChildren of Time by Adrian TchaikovskyPlurality by E. Glen Weyl, Audrey Tang and ⿻ CommunityThoughts? Guest suggestions? Email us at ezrakleinshow@nytimes.com.You can find transcripts (posted midday) and more episodes of “The Ezra Klein Show” at nytimes.com/ezra-klein-podcast. Book recommendations from all our guests are listed at https://www.nytimes.com/article/ezra-klein-show-book-recs.This episode of “The Ezra Klein Show” was produced by Annie Galvin. Fact-checking by Michelle Harris. Our senior engineer is Jeff Geld, with additional mixing by Aman Sahota. Our senior editor is Claire Gordon. The show’s production team also includes Rollin Hu, Elias Isquith and Kristin Lin. Original music by Isaac Jones. Audience strategy by Kristina Samulewski and Shannon Busta. The executive producer of New York Times Opinion Audio is Annie-Rose Strasser. And special thanks to Sonia Herrero and Jack Hamilton.
‘Artificial Intelligence?’ No, Collective Intelligence.
A.I.’s Data Wall + a Surprise Privacy Bill + What Happened to the TikTok Ban?
A.I.’s Data Wall + a Surprise Privacy Bill + What Happened to the TikTok Ban?
Listen to this episode from Hard Fork on Spotify. This week, the companies building artificial intelligence are facing a limit to what training data is publicly available on the internet. Will that stop them from building God? Then, a new bipartisan national privacy law proposal just dropped. We ask what’s in it. And finally, ByteDance is building new apps instead of fighting Congress’s TikTok ban.Today’s Guests:Trevor Hughes, president and C.E.O. of the International Association of Privacy ProfessionalsAdditional Reading:How Tech Giants Cut Corners to Harvest Data for A.I.For Data-Guzzling A.I. Companies, the Internet Is Too SmallLawmakers unveil sprawling plan to expand online privacy protectionsTikTok Turns to Nuns, Veterans and Ranchers in Marketing BlitzWe want to hear from you. Email us at hardfork@nytimes.com.Find “Hard Fork” on YouTube and TikTok.
A.I.’s Data Wall + a Surprise Privacy Bill + What Happened to the TikTok Ban?
What Tech Calls Thinking
What Tech Calls Thinking
A New York Times Book Review Editors' Choice"In Daub’s hands the founding concepts of Silicon Valley don’t make money; they fall apart." --The New York T...
What Tech Calls Thinking
oio.school
oio.school
what they don't teach you in school
oio.school
CTRL+S: Saving our digital memories | re:publica
CTRL+S: Saving our digital memories | re:publica
Die re:publica Berlin ist das Festival für die digitale Gesellschaft und die größte Konferenz ihrer Art in Europa. Die Teilnehmer*innen der re:publica bilden einen Querschnitt unserer (digitalen) Gesellschaft.
CTRL+S: Saving our digital memories | re:publica
Residence for Artist - Hey Human!
Residence for Artist - Hey Human!
Hey Human it's an experimental residence for artist working on data, music, writing and new media at the heart of Barcelona. Open Call until 23rd of March 2023!
Residence for Artist - Hey Human!
Can you imagine?
Can you imagine?
A book of absurd UI design ideas by Soren Iverson
Can you imagine?
Measurementality #4: What are we Optimizing for? with Laura Musikanski and Jonathan Stray
Measurementality #4: What are we Optimizing for? with Laura Musikanski and Jonathan Stray
Listen to this episode from The Radical AI Podcast on Spotify. In this 4th episode of Measurementality we'll be "identifying what counts in the algorithmic age" by analyzing how existing metrics regarding human wellbeing along with environmental flourishing are being globally measured today.   Laura Musikanski is the Executive Director of The Happiness Alliance and Chair of IEEE 7010-2020 Jonathan Stray is a Visiting Scholar at Center for Human-Compatible AI and a former research partner at The Partnership on AI as well as being the author of Aligning AI to Human Values means Picking the Right Metrics
Measurementality #4: What are we Optimizing for? with Laura Musikanski and Jonathan Stray
Acts of Interfacing
Acts of Interfacing
Listen to this episode from DCODE Conversations on Spotify. Interfaces are not what they used to be. They have extended beyond surfaces, buttons, and levers to something that cuts across infrastructures and entangles the planet, often beyond access and control. Elisa Giaccardi interviews DCODE fellows Rob Collins, Yuxi Liu, and Grace Turtle and guest authors Christian Andersen (The Metainterface, MIT Press) and Ksenia Fedorova (Tactics of Interfacing, MIT Press) to explore how designers might navigate these new terrains.
Acts of Interfacing
The Mid: how culture became algorithmically optimised for mass appeal
The Mid: how culture became algorithmically optimised for mass appeal
Listen to this episode from Logged On – A Dazed Podcast on Spotify. Welcome to the inaugural episode of Logged On, the new podcast from Dazed with Günseli Yalcinkaya about all things internet culture, from memes to emerging trends, Deep Web conspiracy theories and beyond.Episode 1 – The MidWe're living in a mid-ocracy. Today, culture is algorithmically optimised for mass appeal, serving up platters of pre-packaged cool – whether that’s a Deftones tee, a Fred Again mix or a wavy mirror via your Instagram explore page. On this episode, we're joined by Shumon Basar, the co-author of two books, ‘The Age Of Earthquakes’ and ‘The Extreme Self’, and the author of recent essays on lorecore and endcore, to discuss why everything suddenly feels so... mid. Hosted on Acast. See acast.com/privacy for more information.
The Mid: how culture became algorithmically optimised for mass appeal
Beyond Values in Algorithmic Design
Beyond Values in Algorithmic Design
Listen to this episode from DCODE Conversations on Spotify. What are the opportunities and challenges of using human and moral values for the design of principled algorithms? Based on current trends of value-based frameworks, this podcast engages three experts in discussions of design and everyday experiences of algorithmic values such as fairness, transparency, and inclusiveness for future urban mobility and beyond. Rachel C. Smith presents this conversation, where DCODE fellows Ignacio Garnham, Mireia Yurrita and Francesco Maria Turno interview our guests Minna Ruckenstein (Professor at Helsinki University), Kars Alfrink (PhD candidate at Delft University of Technology) and Aleksej Veselij (Senior data engineer at Accenture).
Beyond Values in Algorithmic Design