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Curator Arts Technologies @SerpentineUK + Co-Investigator of the Creative AI Lab @kingsdh

Professor of Digital Culture and Society

Errors in machine learning systems are an interesting phenomenon. Obscuring the role of AI as a shiny tool of capital, the phenomenon is usually studied with the aim to overcome those errors. This text aims for another direction by digging into one particular error, the phenomenon of “adversarials”.

This talk explores how AI is transforming design processes, enhancing creativity, and rapidly reshaping the roles of creatives, product designers, and design...

Fun fact: The more you tip ChatGPT, the longer the responses are. Who would have thought that AIs love money as much as humans do... - The baseline prompt…

The story of AI images isn’t just about robots, but also about the people behind these strange, futuristic visuals.

'Black Mirror: Race, AI and Inequity in the 21st Century' - Professor Ruha BenjaminThe Obert C. Tanner Lecture on Artificial Intelligence and Human ValuesFro...

Professor Melanie Mitchell gives the Margaret Boden Lecture for 2023 at the University of Cambridge. The Margaret Boden lectures are held annually by the Lev...

The Master's in AI Ethics & Society from the University of Cambridge is designed for professionals. It offers the expertise and skills necessary for critically understanding and responding to the complex socio-technical systems underpinning our greatest AI opportunities and challenges.

In January 2021, we launched ‘A New AI Lexicon:’ a call for contributions to generate alternate narratives, positionalities, and understandings to the better known and widely circulated ways of talking about AI.

The world is racing to develop ever more sophisticated large language models while a small language model unfurls itself in my home.

Maybe more people are writing about the real and potential problems of technology today than ever before. That is mostly a good thing. The…

How is technology changing culture? From exhibition design to the performing arts, we invite leading curators, researchers, artists and cultural experts to explore how technology is shaping the future of cultural experiences and sparking new opportunities in the process. The Culture & Technology Podcast is a virtual salon — hosted by the Vienna Business Agency together with Severin Matusek. Each conversation pairs Viennese creatives with an international expert to discuss a topic, entertain a thought and share their knowledge through conversation.  The future of cultural experiences is up to us to create. We hope you’ll join us by subscribing to The Culture and Technology Podcast wherever you listen to podcasts.

A Stanford professor’s dismantling of Silicon Valley’s intellectual origins, by Adrian Daub. Published by FSG Originals & Logic.

Logic(s) is a small magazine devoted to deepening the discourse around technology. We publish three times per year in print and digital formats.

Amid the coverage of Sam Altman returning to the helm of OpenAI, women are being written out of the future of AI

Listen to this episode from Mystery AI Hype Theater 3000 on Spotify. Emily and Alex discuss MetaAI's bullshit science paper generator, Galactica, along with its defenders. Plus, where could AI actually help scientific research? And more Fresh AI Hell. Watch the video of this episode on PeerTube. References:Imre Lakatos on research programsShah, Chirag and Emily M. Bender. 2022. Situating Search. Proceedings of the 2022 ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR ’22). UW RAISE (Responsibility in AI Systems and Experiences)Stochastic Parrots:Bender, Emily M., Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell. 2021. On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜. In Proceedings of FAccT 2021, pp.610-623. The Octopus Paper:Bender Emily M. and Alexander Koller. 2020. Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data. ACL 2020Palestinian man arrested because of bad machine translation.Katherine McKittrick, Dear Science and Other StoriesThe Sokal HoaxSafiya Noble, Algorithms of OppressionLatanya Sweeney, "Discrimination in Online Ad Delivery"Mehtab Khan and Alex Hanna, The Subjects and Stages of AI Dataset Development: A Framework for Dataset Accountability(What is 'sealioning'?)http://wondermark.com/1k62/Grover:Raji, Inioluwa Deborah, Emily M. Bender, Amandalynne Paullada, Emily Denton and Alex Hanna. 2021. AI and the Everything in the Whole Wide World Benchmark. Proceedings of the 35th Conference on Neural Information Processing Systems (NeurIPS 2021) Track on Datasets and Benchmarks.Ben Dickson's coverage of Grover:Why we must rethink AI benchmaYou can check out future livestreams at https://twitch.tv/DAIR_Institute. Follow us!Emily Twitter: https://twitter.com/EmilyMBender Mastodon: https://dair-community.social/@EmilyMBender Bluesky: https://bsky.app/profile/emilymbender.bsky.social Alex Twitter: https://twitter.com/@alexhanna Mastodon: https://dair-community.social/@alex Bluesky: https://bsky.app/profile/alexhanna.bsky.social Music by Toby Menon.Artwork by Naomi Pleasure-Park. Production by Christie Taylor.

Listen to this episode from Mystery AI Hype Theater 3000 on Spotify. Emily and Alex are joined by Dr. Jeremy G. Kahn to discuss the distressingly large number of evaluation metrics for artificial intelligence, and some new AI hell.Jeremy G. Kahn has a PhD in computational linguistics, with a focus on information-theoretic and empirical engineering approaches to dealing with natural language (in text and speech). He’s gregarious, polyglot, a semi-auto-didact, and occasionally prolix. He also likes comic books, coffee, progressive politics, information theory, lateral thinking, science fiction, science fact, linear thinking, bicycles, beer, meditation, love, play, and inquiry. He lives in Seattle with his wife Dorothy and son Elliott.This episode was recorded on December 12, 2022.Watch the video of this episode on PeerTube.References:XKCD: StandardsWikidataConGish GallopThe Bender RuleDJ Khaled - You Played YourselfJeff Kao's interrogation of public comment periods.Emily's blog post response to NYT pieceYou can check out future livestreams at https://twitch.tv/DAIR_Institute. Follow us!Emily Twitter: https://twitter.com/EmilyMBender Mastodon: https://dair-community.social/@EmilyMBender Bluesky: https://bsky.app/profile/emilymbender.bsky.social Alex Twitter: https://twitter.com/@alexhanna Mastodon: https://dair-community.social/@alex Bluesky: https://bsky.app/profile/alexhanna.bsky.social Music by Toby Menon.Artwork by Naomi Pleasure-Park. Production by Christie Taylor.

Listen to this episode from Mystery AI Hype Theater 3000 on Spotify. Emily and Alex read through Google vice president Blaise Aguera y Arcas' recent proclamation that "artificial general intelligence is already here." Why this claim is a maze of hype and moving goalposts.References:Noema Magazine: "Artificial General Intelligence Is Already Here." "AI and the Everything in the Whole Wide World Benchmark" "Targeting the Benchmark: On Methodology and Current Natural Language Processing Research""Recoding Gender: Women's Changing Participation in Computing""The Computer Boys Take Over: Computers, Programmers, and the Politics of Technical Expertise""Is chess the drosophila of artificial intelligence? A social history of an algorithm" "The logic of domains""Reckoning and Judgment"Fresh AI Hell:Using AI to meet "diversity goals" in modelingAI ushering in a "post-plagiarism" era in writing"Wildly effective and dirt cheap AI therapy."Applying AI to "improve diagnosis for patients with rare diseases."Using LLMs in scientific researchHealth insurance company Cigna using AI to deny medical claims.AI for your wearable-based workoutYou can check out future livestreams at https://twitch.tv/DAIR_Institute. Follow us!Emily Twitter: https://twitter.com/EmilyMBender Mastodon: https://dair-community.social/@EmilyMBender Bluesky: https://bsky.app/profile/emilymbender.bsky.social Alex Twitter: https://twitter.com/@alexhanna Mastodon: https://dair-community.social/@alex Bluesky: https://bsky.app/profile/alexhanna.bsky.social Music by Toby Menon.Artwork by Naomi Pleasure-Park. Production by Christie Taylor.

Listen to this episode from Sounds True: Insights at the Edge on Spotify. Mention to someone the words “artificial intelligence,” and chances are you’ll get a very emotional response. For some, the thought of AI triggers fear, anger, and suspicion; for others, great excitement and anticipation.  In this podcast, Tami Simon speaks with technologist and philosopher Jasmine Wang along with poet Iain S. Thomas, coauthors of the new book What Makes Us Human? An Artificial Intelligence Answers Life’s Biggest Questions. Whatever your view on AI, we think you’ll find this conversation profoundly interesting and informative!  Listen now as Tami, Jasmine, and Iain discuss the artificial intelligence known as GPT-3; holding an attitude of “critical techno optimism”; finding kinship with digital beings; the question of sentience; the sometimes “hallucinatory” nature of generative AI; the three main aspects of deep learning technology—classification, recommendation, and generation; AI as a creativity compounder; bringing a moral lens to the development and deployment of AI; the central human themes of presence, love, and interconnectedness; acting with intent and living with meaning; and more. Note: This episode originally aired on Sounds True One, where these special episodes of Insights at the Edge are available to watch live on video and with exclusive access to Q&As with our guests. Learn more at join.soundstrue.com.

As a critical researcher of AI myself and experience as entrepreneur I know how hard it is to navigate the trade offs between surviving in the market and being…