Navigating AI bias: Insights and strategies - John Haggerty (Founder, The PM Insider)
May 22, 2024
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John Haggerty, Founder of The PM Insider, delves into the complexities of bias in AI in product management. He talks about mitigating bias in generative AI models, strategies for fairness testing, and the importance of human involvement in addressing biases. The discussion also covers the challenges of AI technologies like GPT models, testing tools for bias and accuracy, and the future of product management in the AI era.
Verification of AI outputs and addressing biases through diverse data sources and model adjustments is crucial for ethical AI development.
Proactive measures like defining fairness criteria and conducting premortem analyses, along with using tools for bias testing, are essential for addressing bias in AI.
Deep dives
John Haggotty's Product Management Journey and AI Focus
John Haggotty, a former VP of product management at highway.ai, transitioned into product management organically by solving customer documentation challenges early in his career. He delves into AI exploration, particularly in generative AI and LLM technologies. John discusses the importance of defining AI terms and distinguishing between machine learning and generative AI within the broader AI universe.
Challenges and Risks of Generative AI
John highlights the risks associated with generative AI, including the inability to always trust the results, reliance on historical data for predictions, and perpetuation of societal biases present in the training data. He emphasizes verifying outputs and addressing biases through diverse data sources, model adjustments, human moderation, and careful prompt engineering to enhance ethical AI development.
Testing and Mitigating Bias in AI
Addressing bias in AI requires proactive measures such as defining fairness criteria, conducting premortem analyses for worst-case scenarios, and using tools like IBM's AI Fairness 360 and Google's What If for bias testing. John recommends continuous fairness assessments, behavioral testing, and developing longitudinal testing strategies to detect biases and ensure ethical AI outcomes.
Challenges in AI Testing and Continuous Monitoring
John emphasizes the evolutionary nature of AI products, necessitating continuous monitoring, testing, and model fine-tuning. While traditional unit testing approaches may not apply to generative AI, he proposes a future focus on creating behavioral-based testing suites for AI tools to address biases and uncertainties and ensure accurate and reliable outcomes in AI applications.
Discover the intricacies of bias in generative AI in product management with John Haggerty, Founder of The PM Insider. In this week's episode, John unveils the layered complexities of AI innovation, navigating the ethical realm of the AI revolution reshaping businesses.
Our Hosts Lily Smith enjoys working as a consultant product manager with early-stage and growing startups and as a mentor to other product managers. She’s currently Chief Product Officer at BBC Maestro, and has spent 13 years in the tech industry working with startups in the SaaS and mobile space. She’s worked on a diverse range of products – leading the product teams through discovery, prototyping, testing and delivery. Lily also founded ProductTank Bristol and runs ProductCamp in Bristol and Bath.
Randy Silver is a Leadership & Product Coach and Consultant. He gets teams unstuck, helping you to supercharge your results. Randy's held interim CPO and Leadership roles at scale-ups and SMEs, advised start-ups, and been Head of Product at HSBC and Sainsbury’s. He participated in Silicon Valley Product Group’s Coaching the Coaches forum, and speaks frequently at conferences and events. You can join one of communities he runs for CPOs (CPO Circles), Product Managers (Product In the {A}ether) and Product Coaches. He’s the author of What Do We Do Now? A Product Manager’s Guide to Strategy in the Time of COVID-19. A recovering music journalist and editor, Randy also launched Amazon’s music stores in the US & UK.
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