The Misalignment Puzzle When AI Does What You Incentivize, Not What You Want

AI Alignment with Brian Christian of 'The Alignment Problem'

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.

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About The {Closed} Session

Building a company from scratch is soul-sucking and mind-numbingly hard – but it’s the best thing ever. We know this because we've built a couple ourselves - and we're building a lot more right now.

We’ve made a lot of money for our employees, our shareholders, ourselves – we’re proud of that - and that’s why we want to talk about how it’s done.

Join us – Tom Chavez and Vivek Vaidya – in The {Closed} Session, where we reveal all the joys and sorrows of company building. From the guttermost to the uttermost, we’re not going to hold back.