This time we're chatting with E.M. about the promise of AI and making human connection easier, speech recognition and supporting linguistic diversity, making useful technologies that have a purpose, Mozilla data collective, under represented cultures in datasets, accidental monocultures with technology, negative uses of datasets, AI literacy, the instability of LLMs and more...

A limited series of ten in-depth conversations with some of our favorite thinkers and creatives where we explore how artificial intelligence is changing and challenging creative work. Brought to you by sublime.app, the knowledge tool that sparks creativity.

Better Offline · Episode

Better Offline · Episode

Hard Fork · Episode

Podcast · WaitWhat · Pioneers of AI is your guide to the latest technological frontier. Each week, host Rana el Kaliouby (AI scientist, investor, author, co-founder of Affectiva) is joined by the leading creators, critics, and thinkers behind mind-blowing technology and asks the important questions about how artificial intelligence is changing the way we live. As we venture together into the unknown, Pioneers is your tool to understanding and anticipating what comes next.

The Distributed AI Research Institute is a space for independent, community-rooted AI research, free from Big Tech’s pervasive influence.

Podcast · MIT Sloan Management Review and Boston Consulting Group (BCG) · Why do only 10% of companies succeed with AI? In this series by MIT SMR and BCG, we talk to the leaders who've achieved big wins with AI in their companies and learn how they did it. Hear what gets experts from companies like NASA, Github, and others excited to do their jobs every day and what they consider the keys to their success.

Podcast · In Machines we Trust · "In Machines We Trust" is a captivating podcast that delves deep into the world of technology and innovation. Each episode explores a range of cutting-edge topics and current news, offering listeners insights into the rapidly evolving digital landscape. Our discussions focus on how these technological advancements impact society, economy, and our daily lives. Join us as we navigate the intricate and fascinating world of machines, unraveling the mysteries and possibilities they hold.

Podcast · Kyle Polich · Data Skeptic is your source for a perspective of scientific skepticism on topics in statistics, machine learning, big data, artificial intelligence, and data science. Our weekly podcast and blog bring you stories and tutorials to help understand our data-driven world.

Urgent Futures with Jesse Damiani · Episode

Shrey Jain, an applied scientist at Microsoft Research Special Projects, speaks with Matt Prewitt on a very timely and topical subject: AI and – more specifically – the dangers it poses to the nature of natural human communication (“context collapse”). They take a deep dive into the current threats to privacy by expanding beyond the often discussed cryptographic sense into “privacy as contextual integrity”, and the immediate opportunity to embed ethical guardrails into this ever-changing realm of generative AI through possible solutions of designated verified signatures in “plural publics”. Shrey’s recently published paper co-authored with Divya Siddarth and E. Glen Weyl “Plural Publics” is linked in the episode notes.

Podcast · Paris Marx · Silicon Valley wants to shape our future, but why should we let it? Every Thursday, Paris Marx is joined by a new guest to critically examine the tech industry, its big promises, and the people behind them. Tech Won’t Save Us challenges the notion that tech alone can drive our world forward by showing that separating tech from politics has consequences for us all, especially the most vulnerable. It’s not your usual tech podcast.

Arvind Narayanan and Sayash Kapoor are the authors of AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference.

Podcast · Dreaming Beyond AI · Dreaming Beyond AI is a platform for critical and constructive knowledge, visionary fiction, speculative art, and community organizing around Artificial Intelligence. In this podcast series, we're all about opening up new dimensions of interaction and challenging the current perceptions and narratives around AI. We want to reclaim technology as a space for marginalized bodies and build an archive of alternative realities.

Knowing Machines is a research project tracing the histories, practices, and politics of how machine learning systems are trained to interpret the world.

Artificial intelligence is the hottest technology of our time. But what is it? It sounds like a stupid question, but it’s one that’s never been more urgent. MIT Technology Review takes a deep dive into the competing answers from titans of industry and helps us understand how we got here—and why you should care, no matter who you are.

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Code Green is a media series that separates the heat from the hype around climate tech in Asia

Learn how the smartest people in the world are using AI to think, create, and relate. Each week I interview founders, filmmakers, writers, investors, and others about how they use AI tools like ChatGPT, Claude, and Midjourney in their work and in their lives. We screen-share through their historical chats and then experiment with AI live on the show. Join us to discover how AI is changing how we think about our world—and ourselves. For more essays, interviews, and experiments at the forefront of AI: https://every.to/chain-of-thought?sort=newest.

In this two part episode, we sit down with Ploipailin Flynn, founding member of AI x Design, a global community and decentralized studio for critical and creative AI research & design. In this conversation, we discuss why understanding how AI systems are built is crucial for creating better outcomes and why measuring the outcomes of AI in communities and tracking deployed models is essential. Ploi shares her expertise on how designing user interfaces for different stakeholders can facilitate feedback, uphold data rights and why involving outside organizations can help evaluate the fairness of AI systems, while also creating defensible positions on company's responsibility with AI.