The Ethics of Artificial Intelligence with Amy Winecoff
Topics: AI & Machine Learning Governance Security
The CDS is thrilled to host Amy Winecoff, Ph.D., a data scientist at Princeton University, for a discussion on the ethics of artificial intelligence.
Amy’s research focuses on human-algorithm interactions, taking into consideration how humans both shape and react to algorithms. She conducts research on how psychological, social, and institutional forces shape how entrepreneurs develop algorithmic systems as well as how algorithmic systems adapt to idiosyncratic, user-level behavior and broader social influences over time. She uses a combination of qualitative and quantitative empirical methods as well as simulation.
Some of her recent research inquiries include:
- How artificial intelligence startups adapt to external pressures such as those from investors and regulators.
- How professionals working at blockchain organizations conceptualize the ideological motivations for decentralization.
- The latent structure of political discourse on Reddit and how this discourse changes under different reaction mechanisms (e.g., up-vote, down-vote).
Bio:
Amy Winecoff (Ph.D., Psychology & Neuroscience, Duke University) is a research fellow at Princeton University’s Center for Information Technology Policy (CITP) and Center for Statistics and Machine Learning (CSML). Using a combination of qualitative, quantitative, and simulation techniques, she studies how technology communities develop algorithmic systems such as artificial intelligence (AI) and blockchain platforms and how these systems impact society. She also serves on the advisory board of the eLab startup accelerator program hosted by Princeton’s Keller Center for Innovation in Engineering Education. Prior to joining Princeton, Winecoff worked as an Assistant Professor of Psychology at Bard College and as a data scientist for e-commerce technology companies, where she developed large-scale machine learning systems for providing product recommendations. She has published numerous academic articles and book chapters on psychology, neuroscience, machine learning, and human-computer interaction.
