Interview with Khoa Lam on AI Auditing

024. Interview with Khoa Lam on AI Auditing | Lunchtime BABLing

On this week’s Lunchtime BABLing, Shea talks with BABL AI auditor and technical expert, Khoa Lam.

They discuss a wide range of topics including:

1: How Khoa got into the field of Responsible AI

2: His work at AI Incident Database

3: His thoughts on generative AI and large language models

4: The technical aspects of AI and Algorithmic Auditing

Available on YouTube, Simplecast, and all major streaming platforms. 

AI Audits: Uncovering Risks in ML Systems

BABL AI CEO, Shea Brown, PhD joined the MLSecups Podcast to talk about the “W’s” and security practices related to AI and algorithm audits. 

  1. What is included in an AI audit? 
  2. Who is requesting AI audits and, conversely, who isn’t requesting them but should be?
  3. When should organizations request a third party audit of their AI/ML systems and machine learning algorithms?
  4. Why should they do so? What are some organizational risks and potential public harms that could result from not auditing AI/ML systems?
  5. What are some next steps to take if the results of your audit are unsatisfactory or noncompliant? 

Final Rules for NYC Local Law 144

022. Final Rules for NYC Local Law 144 – Lunchtime BABLing

We review the new rules for NYC’s Local Law No. 144, which requires bias audits of automated employment decision tools.

The date for enforcement has been pushed back to July 5th, 2023 to give time for companies to seek independent auditors (which is still a requirement).

Available on YouTube, Simplecast, and all major Podcast streaming platforms.