Joanna Bryson discusses her transition from natural science to AI ethics, exploring societal changes with advancing intelligence. She delves into defining ethics and morality, highlighting the importance of identity and group dynamics. The complexity of ethical principles in AI governance, human rights incorporation, and the impact of geographic location on governance coordination are also explored.
Joanna Bryson emphasizes the societal implications of AI and the evolution of cognition as key aspects in AI governance.
Identity, philosophy, and cognitive science are crucial in understanding societal dynamics and ethical considerations in AI governance.
The speaker focuses on the role of cooperation and societal dynamics in addressing challenges like political polarization, highlighting the importance of these factors in AI governance.
Deep dives
Evolution from Computer Science to Ethics
The speaker discusses her background, transitioning from computer science to ethics and policy work. She highlights her education in liberal arts and artificial intelligence and how her focus shifted towards societal implications of AI and policy based on societal changes and the evolution of cognition.
Identity and Self-Identification
The discussion delves into the speaker's self-identification as a natural scientist, philosopher, and cognitive scientist. The importance of identity, philosophy, and cognitive science in understanding societal dynamics and ethical considerations is emphasized.
The Shift towards Cooperation
The speaker explains her transition from studying evolution of cognition to focusing on cooperation and political polarization. The role of cooperation and societal dynamics in addressing challenges like political polarization is highlighted as a current area of focus for the speaker.
Ethics, Morality, and Human Rights in AI Governance
The conversation explores the intersection of ethics, morality, and human rights in AI governance. The shift towards anchoring AI regulations in human rights frameworks is discussed, emphasizing the importance of incorporating ethical considerations into AI policies.
The Future of AI Regulations and Global Governance
The discussion explores the future of AI regulations and the need for global governance. The importance of aligning ethical, economic, and regulatory interests is highlighted, with an emphasis on designing governance systems that prioritize human-centered perspectives and consider societal well-being.