by Shea Brown | Nov 22, 2023 | Case Study
AI HireTech Vendor: Case Study Challenge: NYC passed Local Law No. 144, which requires automated employment decision tools (AEDTs) to be audited for bias on a yearly basis. The audits are typically conducted through intensive hands-on technical testing by external...
by Shea Brown | Nov 22, 2023 | Case Study
Silicon Valley Autonomous Vehicle Company: Case Study Challenge: A prominent Silicon Valley autonomous vehicle (AV) company must make clear whether its existing AI Governance controls successfully mitigate potential risks of its high-impact and unique AI technology...
by Shea Brown | Nov 22, 2023 | Case Study
Leading EdTech Vendor: Case Study Challenge: A leading EdTech vendor comes under intense public and regulatory scrutiny for potential bias in its core AI product, eroding clients’ trust and initiating costly lawsuits and Senatorial inquiries. Solution: BABL AI...
by Shea Brown | Sep 6, 2023 | Research
A case study that is focused on auditing AI systems used for making employment decisions in the human resources (HR) sector, with a primary focus on hiring and promotion decisions. Link to the full article is here.
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...
