As artificial intelligence (AI) continues to integrate into business operations, ensuring AI systems are trustworthy, fair, and compliant has become more critical than ever. In our newest episode of Lunchtime BABLing, Dr. Shea Brown, CEO of BABL AI, sits down with Mahesh Chandra Mukkamala, a data scientist at QuantPi, to discuss the evolving landscape of black box AI testing, risk assessment, and regulatory compliance.

With increasing regulatory scrutiny—particularly from laws like the EU AI Act—organizations must adopt rigorous AI testing strategies. This episode explores how QuantPi helps companies tackle AI governance challenges by providing model-agnostic testing frameworks that assess bias, robustness, and fairness across different AI models.

Topics Discussed:

The Importance of AI Testing and Risk Assessment: AI models, particularly black box systems, introduce unique challenges when it comes to risk assessment and compliance. Many organizations struggle to evaluate their AI tools effectively, leading to concerns about fairness, bias, and unintended risks. Mahesh explained how QuantPi’s model-agnostic framework enables businesses to test AI systems across multiple dimensions, including robustness, fairness, and ethical considerations. With laws like the EU AI Act setting new standards for AI governance, businesses must implement rigorous testing strategies to mitigate legal and reputational risks. The conversation highlighted how QuantPi helps enterprises navigate this evolving landscape by offering practical tools for AI risk assessment and compliance readiness.

QuantPi: Advancing Responsible AI: QuantPi is an AI governance company dedicated to ensuring AI systems operate safely, fairly, and transparently. Their testing solutions provide enterprises with the tools needed to assess AI model behavior, mitigate risks, and meet regulatory obligations. By leveraging a model-agnostic approach, QuantPi enables companies to evaluate AI across various industries and applications, from natural language processing to computer vision and risk assessment models.

The Future of AI Compliance: As AI regulations continue to shape the industry, companies must prioritize risk assessment, testing, and compliance strategies to maintain trust and reliability. The insights shared by Mahesh Chandra Mukkamala in Lunchtime BABLing underscore the growing importance of AI governance in ensuring ethical and responsible AI development. For AI professionals, compliance officers, and business leaders, this discussion provides valuable guidance on how to navigate AI governance in a rapidly changing regulatory environment.

Join QuantPi’s Upcoming Events:

For professionals looking to deepen their understanding of AI governance and compliance, QuantPi is hosting two major events in March 2025:

• • Responsible AI in Action – Berlin & Frankfurt, Germany
    QuantPi’s “Responsible AI in Action” series will launch in Berlin and Frankfurt, offering interactive workshops, roundtable discussions, and expert-led keynotes. This exclusive event is designed to help organizations implement responsible AI strategies effectively.
    Register here: QuantPi’s RAI in Action Event Series

• • NVIDIA GTC Session – March 20, 2025
    U.S.-based AI professionals can attend QuantPi’s session at NVIDIA’s GTC 2025 titled “A Scalable Approach Toward Trustworthy AI.” This discussion will focus on scalable AI governance frameworks to ensure compliance and operational integrity.
    Learn more: NVIDIA GTC 2025

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 Assurance, be sure to visit BABL AI’s website and stay tuned for future episodes of Lunchtime BABLing