The NIST AI Risk Management Framework could play a crucial role in guiding companies like Deloitte through Federal Trade Commission (FTC) investigations. In this latest installment of Lunchtime BABLing, BABL AI CEO Dr. Shea Brown and COO Jeffery Recker focus on a recent complaint filed against Deloitte regarding its automated decision system for Medicaid eligibility in Texas, and how adherence to established frameworks could have mitigated the issues at hand.
Shea and Jeffery also touch on how non-AI systems can still pose significant risks when automating decisions that impact human lives, offering insights into AI governance, proactive risk management, and the importance of transparency. The episode provides valuable takeaways for companies working with high-risk technologies and for anyone interested in AI governance, regulation, and the evolving landscape of AI compliance.
Topics discussed:
- Deloitte’s Medicaid eligibility system in Texas
- The role of the FTC and the NIST AI Risk Management Framework
- How AI governance can safeguard against unintentional harm
- Why proactive risk management is key, even for non-AI systems
- What companies can learn from this case to improve compliance and oversight
Where to Find Episodes
Lunchtime BABLing can be found on YouTube, Simplecast, and all major podcast streaming platforms.
Need Help?
For more information and resources on AI, the NIST, or any other forms of compliance, be sure to visit BABL AI’s website and stay tuned for future episodes of Lunchtime BABLing
