About this episode
What does ‘AI alignment mean? Can philosophy help make AI less biased? How does reinforcement learning influence AI's unpredictability? How does AI's ‘frame problem’ affect its ability to understand objects? What role does human feedback play in machine learning and AI fine-tuning? An acclaimed author and researcher who explores the human implications of computer science, Brian Christian is best known for his bestselling series of books: "The Most Human Human" (2011), "Algorithms to Live By" (2016), and "The Alignment Problem" (2020). The latter explores the ethical issues in AI, highlighting the biases and unintended outcomes in these systems and the crucial efforts to resolve them, defining our evolving bond with technology. With his deep insights and experiences, Brian brings a unique perspective to the conversation about ethics and safety challenges confronting the field of AI. Listen to the episode and read the transcript at superset.com Guest: Brian Christian Twitter: @supersetstudio @ClosedSeshPod @tommychavez @vsvaidya See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info .