by Shea Brown | Mar 13, 2023 | Research
Our interdisciplinary team at the Algorithmic Bias Lab has produced one of the very first comprehensive reports on the current state of organizational AI governance. The report, partly funded by Notre Dame-IBM Technology Ethics Lab, is a result of a yearlong study...
by Shea Brown | Mar 9, 2023 | In the News
BABL AI CEO Dr. Shea Brown was invited to talk with Mariah Jaworski from Clark Hill and Managing Director Carol Piovesan from INQ Consulting to talk about various laws, legislative proposals and technical guidance into actionable compliance strategies for...
by Shea Brown | Mar 8, 2023 | Podcast
017. Criteria-based Bias Audit – Lunchtime BABLing On this week’s Lunchtime BABLing, Shea goes over the difference between a direct engagement audit vs. an attestation engagement audit and give examples from our criteria-based attestation audit for NYC...
by Shea Brown | Feb 27, 2023 | Blog
Managing the risks associated with the use of artificial intelligence (AI) and machine learning (ML) has been an urgent topic in recent years. The potential for these algorithms to discriminate, limit access to important life opportunities, and otherwise harm...
by Shea Brown | Feb 26, 2023 | Podcast
016. Lunchtime BABLing – Breaking into AI Ethics (Part 2) In this Q&A session, Shea talks about strategies for applying the skills you already have to the emerging field of AI ethics, governance, and policy consulting? This is a follow-up to our first...
