BABL AI, a pioneer in responsible AI auditing, was featured at the recent Stanford-MIT-Princeton workshop titled “Strengthening AI Accountability Through Better Third-Party Evaluations.” This event brought together leading experts from academia, industry, and government to address the growing need for effective, independent evaluations of AI systems to ensure transparency, ethics, and risk mitigation.

Hosted by Stanford’s Center for Research on Foundation Models, the Massachusetts Institute of Technology (MIT), and Princeton’s Center for Information Technology Policy, the workshop highlighted key challenges and potential frameworks for third-party AI evaluations. The event emphasized the importance of robust auditing practices to protect against AI-related risks, such as data breaches, bias, and ethical violations, while fostering responsible AI development.

“Strengthening AI Accountability Through Better Third-Party Evaluations,” featuring prominent voices in AI like Rumman Chowdhury, CEO at Humane Intelligence, highlighted how third-party evaluations are integral to managing the risks of emerging AI applications across industries. 

You can watch the full workshop HERE.