Responsible AI Learning Cohort: Session 1- Introduction and Cognitive Science for AI

Series Overview: Join us for GradFUTURES Ethics of AI. Leveraging the expertise of Princeton’s faculty, staff and alumni, this interdisciplinary cohort of grad students will be introduced to three pillars of the field of AI Ethics: technical understanding of AI design; business uses cases and causes for concern; and ethical/social theory. Through guest speakers, case studies and immersive capstone, students will learn, discuss and investigate the ethical implications of AI applications in diverse fields such as tech, healthcare, social media, etc.

Series Overview: Join us for GradFUTURES Ethics of AI. Leveraging the expertise of Princeton’s faculty, staff and alumni, this interdisciplinary cohort of grad students will be introduced to three pillars of the field of AI Ethics: technical understanding of AI design; business uses cases and causes for concern; and ethical/social theory. Through guest speakers, case studies and immersive capstone, students will learn, discuss and investigate the ethical implications of AI applications in diverse fields such as tech, healthcare, social media, etc.

Series Overview: Join us for GradFUTURES Ethics of AI. Leveraging the expertise of Princeton’s faculty, staff and alumni, this interdisciplinary cohort of grad students will be introduced to three pillars of the field of AI Ethics: technical understanding of AI design; business uses cases and causes for concern; and ethical/social theory. Through guest speakers, case studies and immersive capstone, students will learn, discuss and investigate the ethical implications of AI applications in diverse fields such as tech, healthcare, social media, etc.

Title: Improving AI Governance by Carrot and by Stick


Description: AI governance involves the confluence of policies, procedures, norms, laws, and tools that bring together diverse stakeholders to ensure the risks associated with AI systems are effectively managed throughout their development, procurement, and deployment. Organizations can be motivated to enhance governance through two approaches: "sticks," meaning the threat of penalties, and "carrots," meaning the prospect of rewards. While accountability-focused stakeholders often focus on sticks such as regulation and enforcement, successful governance also depends on well-designed carrots. In this talk, I will use AI documentation as a case study to examine how both carrots and sticks can drive improvements in AI governance and discuss the pitfalls of relying too heavily on either.


Bio: Amy Winecoff brings a diverse background to her work on AI governance and policy, incorporating knowledge from both technical and social science disciplines. She is currently the AI Governance Fellow at the Center for Democracy & Technology, focusing on governance of AI systems.


Previously, Amy was a fellow at Princeton’s Center for Information Technology Policy, where she examined how cultural, organizational, and institutional factors shape emerging AI and blockchain companies. She has hands-on experience as a data scientist in the tech industry, having built and deployed recommender systems for e-commerce.

Amy obtained her Ph.D. in Psychology and Neuroscience from Duke University, where her research explored human reward processing and social decision-making.

Series Overview: Join us for GradFUTURES Ethics of AI. Leveraging the expertise of Princeton’s faculty, staff and alumni, this interdisciplinary cohort of grad students will be introduced to three pillars of the field of AI Ethics: technical understanding of AI design; business uses cases and causes for concern; and ethical/social theory. Through guest speakers, case studies and immersive capstone, students will learn, discuss and investigate the ethical implications of AI applications in diverse fields such as tech, healthcare, social media, etc.

Series Overview: Join us for GradFUTURES Ethics of AI. Leveraging the expertise of Princeton’s faculty, staff and alumni, this interdisciplinary cohort of grad students will be introduced to three pillars of the field of AI Ethics: technical understanding of AI design; business uses cases and causes for concern; and ethical/social theory. Through guest speakers, case studies and immersive capstone, students will learn, discuss and investigate the ethical implications of AI applications in diverse fields such as tech, healthcare, social media, etc.

Series Overview: Join us for GradFUTURES Ethics of AI. Leveraging the expertise of Princeton’s faculty, staff and alumni, this interdisciplinary cohort of grad students will be introduced to three pillars of the field of AI Ethics: technical understanding of AI design; business uses cases and causes for concern; and ethical/social theory. Through guest speakers, case studies and immersive capstone, students will learn, discuss and investigate the ethical implications of AI applications in diverse fields such as tech, healthcare, social media, etc.

Speaker: Sabrina Shih, Responsible AI Institute


Title: Stress-Testing Responsible AI for Now and Later


Description: What are the theories of change behind Responsible AI, if there are any? Do we truly see them reflected in our evolving frameworks, regulation, and instruments? In this session, we will conduct a macro-analysis of the current AI landscape and cast a critical eye on the assumptions embedded within existing technical and social solutions. We will then look towards the future–whether we will be ready for the possible trajectories of AI technologies, what solution areas will need to advance or be redirected based on our own ideals, and what work lies ahead for us all, both as individuals and as a collective.

Series Overview: Join us for GradFUTURES Ethics of AI. Leveraging the expertise of Princeton’s faculty, staff and alumni, this interdisciplinary cohort of grad students will be introduced to three pillars of the field of AI Ethics: technical understanding of AI design; business uses cases and causes for concern; and ethical/social theory. Through guest speakers, case studies and immersive capstone, students will learn, discuss and investigate the ethical implications of AI applications in diverse fields such as tech, healthcare, social media, etc.

Series Overview: Join us for GradFUTURES Ethics of AI. Leveraging the expertise of Princeton’s faculty, staff and alumni, this interdisciplinary cohort of grad students will be introduced to three pillars of the field of AI Ethics: technical understanding of AI design; business uses cases and causes for concern; and ethical/social theory. Through guest speakers, case studies and immersive capstone, students will learn, discuss and investigate the ethical implications of AI applications in diverse fields such as tech, healthcare, social media, etc.