Skip to content
You are using an unsupported browser. For best results please use the latest versions of Chrome, Edge, Firefox or Safari.

SRI Seminar Series: David G. Rand, “How polarization can help solve the misinformation problem”

In this session, David G. Rand explores the role of political polarization in the sharing and belief of misinformation, suggesting that it is possible to supplement forms of professional fact-checking by harnessing the wisdom of crowds. Presenting data from survey experiments, Rand will demonstrate that successful crowdsourcing of misinformation identification may succeed because of, rather than in spite of, polarization and political motivations.

SRI Seminar Series: Sven Nyholm, “AI, responsibility gaps, and asymmetries between praise and blame”

In this session, Sven Nyholm will discuss “responsibility gaps” and asymmetries regarding praise and blame for outcomes produced by artificial intelligence (AI) technologies. Using contemporary examples such as text produced by large language models, accidents caused by self-driving cars, and medical diagnoses and treatment, Nyholm will demonstrate how praise for good outcomes produced by AI is typically harder to deserve than blame for bad outcomes.

SRI Seminar Series: Aaron Hertzmann, “Can computers create art?”

In this talk, Aaron Hertzmann will discuss how these developments parallel the development of previous artistic technologies, like oil paint, photography, and traditional computer graphics, with many useful analogies between past and current developments.

SRI Seminar Series: Salomé Viljoen, “Valuing social data”

Our weekly SRI Seminar Series welcomes Salomé Viljoen, an assistant professor of law at the University of Michigan Law School who studies the information economy, the social impacts of automation, and how legal structures can impact inequality.

SRI Seminar Series: Rohan Alexander, University of Toronto

Rotman School of Management 95 St. George Street, Toronto, Ontario, Canada

Our weekly SRI Seminar Series welcomes Rohan Alexander for a special in-person talk that will also be broadcast online. Alexander’s research investigates how to develop workflows that improve the trustworthiness of data science.