In this engaging discussion, Puneet Matai, Data and AI Governance Lead at Rio Tinto, dives into the vital blend of AI governance and risk management. He highlights why treating AI as 'augmented intelligence' enhances ethical outcomes. Listeners learn about the primary risks in AI implementation—bias and lack of explainability—and the necessity of human oversight. Puneet also stresses the importance of establishing AI governance frameworks pre-regulation and diversifying AI investments for better risk management. His insights promise to reshape how organizations approach AI innovation.
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volunteer_activism ADVICE
Effective AI Governance Essentials
Build AI governance on strong data foundations with clear guidelines and controls.
Ensure models are explainable and auditable to satisfy regulators and build trust.
insights INSIGHT
Top AI Risks in Finance
The three primary AI risks in financial services are bias, lack of explainability, and data drift or hallucinations.
Managing these risks is crucial for maintaining fairness and accuracy in high-stakes decisions.
volunteer_activism ADVICE
Embed Ethics Early in AI
Embed privacy checks and ethical reviews early in the AI lifecycle.
Design AI models to exclude personal data causing bias, like race or gender, to ensure fairness.
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In this final episode of The Power of AI in Brick by Brick, host Jason Reichl speaks with Puneet Matai, Data and AI Governance Lead at Rio Tinto Commercial, to explore the critical intersection of AI governance, risk management, and innovation in highly regulated industries, particularly focusing on financial services.
What You'll Learn:
How to implement effective AI governance in regulated industries through clear guidelines, controls, and validation processes
The three primary risks in AI implementation: bias/discrimination, lack of explainability, and data drift/hallucinations
Why treating AI as "augmented intelligence" rather than artificial intelligence leads to better risk management and outcomes
How to balance innovation demands with data privacy, ethics, and compliance requirements
The importance of establishing AI governance frameworks before regulatory mandates
Why organizations should maintain a mix of in-house AI talent and external expertise
How to prepare for emerging AI regulations by knowing your AI footprint and establishing baseline governance frameworks
Why human supervision remains critical in AI-driven client communications and decision-making processes
The value of diversifying AI technology investments rather than committing to a single platform or provider
How to build AI systems that are not only performant but also ethical, transparent, and fair
To find out how TrustLayer manages risk so that people can build the physical world around us, head to TrustLayer.io.
Podcast Host: Jason Reichl
Executive Producer: Don Halliwell
Episode Highlights:
00:00 Intro: AI Governance in Financial Services with Puneet Matai
00:39 From Data Engineering to AI Governance: A Career Evolution
05:00 Building Strong AI Governance in Regulated Industries
07:10 Understanding and Preventing AI Bias in Decision Making
11:00 Balancing Ethics and Innovation in AI Implementation
14:40 AI as Augmented Intelligence: The Human-AI Partnership
17:30 Preparing for Emerging AI Regulations
23:10 Why Diversifying AI Technology Investments Matters
26:40 The Future of AI: Making Business Functions Smarter
30:10 Final Thoughts: Responsible AI Implementation
Risk Management: Brick by Brick is handcrafted by our friends over at: fame.so
Previous guests include: Seth Hausman of Kraus-Anderson Insurance, Matthew Meyer of The Horton Group, Diana Rich of Foundation Building Materials, Christy McHenry of Suffolk Construction, Mark Rieder of NFP, and Cory Mangum of Primoris Services Corporation.
Risk Management: Brick by Brick 