Interview with Mahesh Chandra Mukkamala from Quantpi
Feb 17, 2025β’28 minβ’Ep. 54
Episode description
π©πͺ People can join Quantpi's "RAI in Action" event series kicking off in Germany in March:
π https://www.quantpi.com/resources/events
πΊπΈ U.S. based folks can join Quantpi's GTC session on March 20th called "A scalable approach toward trustworthy AI":
π https://www.nvidia.com/gtc/session-catalog/?ncid=so-link-241456&linkId=100000328230011&tab.catalogallsessionstab=16566177511100015Kus&search=antoine#/session/1726160038299001jn0f
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ποΈ Lunchtime BABLing: An Interview with Mahesh Chandra Mukkamala from Quantpi ποΈ
In this episode of Lunchtime BABLing, host Dr. Shea Brown, CEO of BABL AI, sits down with Mahesh Chandra Mukkamala, a data scientist from Quantpi, to discuss the complexities of black box AI testing, AI risk assessment, and compliance in the age of evolving AI regulations.
π‘ Topics Covered:
βοΈ What is black box AI testing, and why is it crucial?
βοΈ How Quantpi ensures model robustness and fairness across different AI systems
βοΈ The role of AI risk assessment in EU AI Act compliance and enterprise AI governance
βοΈ Challenges businesses face in AI model evaluation and best practices for testing
βοΈ Career insights for aspiring AI governance professionals
With increasing regulatory pressure from laws like the EU AI Act, companies need to test their AI models rigorously. Whether youβre an AI professional, compliance officer, or just curious about AI governance, this conversation is packed with valuable insights on ensuring AI systems are trustworthy, fair, and reliable.
π Donβt forget to like, subscribe, and hit the notification bell to stay updated on the latest AI governance insights from BABL AI!
π’ Listen to the podcast on all major podcast streaming platforms
π© Connect with Mahesh on Linkedin: https://www.linkedin.com/in/maheshchandra/
π Follow Quantpi for more AI insights: https://www.quantpi.comCheck out the babl.ai website for more stuff on AI Governance and
Responsible AI!
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