Seagal Samuel

In this discussion, AI research scientist Margaret Mitchell, linguistics professor Emily M. Bender, and Vox's Seagal Samuel examine the unsettling consequences of AI. They delve into ethics and responsibility when AI causes harm, reflecting on real-world impacts on minority populations. The trio also tackles biases in technology, the challenges of emotional complexity in AI, and the urgent need for ethical oversight. Their candid insights stress the pressing concerns over AI's future and highlight the balance between innovation and societal responsibility.

Seagal Samuel, an AI and ethics writer for Vox, delves into the pressing need for caution amid AI's rapid development. She discusses the public's apprehension about AI, with a striking 72% wanting to slow it down. The conversation highlights the unpredictable nature of AI decision-making, especially in sensitive areas like recruitment and military use. With tech companies racing ahead, she argues for stronger regulations to prevent potential disasters while balancing innovation with ethical oversight.

Kevin Hartnett, a senior writer for Quanta Magazine, shares insights into quantum computing's fascinating journey towards supremacy, highlighting Google's groundbreaking successes and the implications for future technology. Meanwhile, Seagal Samuel, a Vox reporter and novelist, dives into the dual nature of AI in writing, discussing how it can aid creativity while also presenting biases and challenges in education. Together, they explore the promises and pitfalls of these groundbreaking technologies that are reshaping our understanding of computation and creativity.