Philosophical Considerations in AI Alignment
Presented by Pawan
Pawan teaches Product Management and System Design at UW PCE. He has built large-scale products used by millions globally, drawing on expertise in system design, development, and engineering management at Silicon Valley startups and Fortune 500 companies. Passionate about AI, he leads The Alignment Meetup in Seattle, fostering discussions on cutting-edge advancements in the field.
Abstract
The rapid rise of artificial intelligence brings challenges in ensuring it aligns with human values and ethics. This session dives into the philosophical core of AI Alignment—how to build systems that act in line with human intentions and morals. Topics include value uncertainty, ethical decision-making, existential risks, and approaches like Inverse Reinforcement Learning, Coherent Extrapolated Volition, and Constitutional AI. Beyond technical fixes, AI Alignment raises profound questions about intelligence, ethics, and the future of human-technology interaction.