AI Governance Protecting Privacy, Ensuring Fairness, and Mitigating Potential Harms
AI governance—learn how to protect privacy, ensure fairness, and mitigate harms with AI.
Episode Description
In today’s episode we dive deep into the fascinating world of AI governance and privacy. We discuss the International Association of Privacy Professionals’ invaluable guidance on AI governance and the importance of building a solid AI governance program from top-level understanding and buy-in. Our expert guest, Robin Andruss, sheds light on the crucial considerations of privacy, ethics, and fairness in AI models, while also examining the potential harm AI can cause to individuals.
We explore real-life examples of privacy breaches on social media and the rise of generative AI for fraudulent purposes. Additionally, we explore the evolving landscape of privacy and security in the cloud, including frameworks, standards, and certifications. Our conversation highlights the significance of staying updated on news and regulations in the AI safety field, such as the IEP’s standards and the EU’s ongoing efforts. We also delve into the emerging field of privacy engineering, its relevance in today’s privacy-conscious era, and how it impacts various departments within organizations.
Generative AI: Embracing Intelligent Automation is a Kognitos production. Kognitos enables businesses to build and manage automation in real-time using human language. For a demo visit Kognitos.com
Ensure you never miss an episode, subscribe wherever you listen to podcasts!
Connect with host Ajay Manglani on LinkedIn. Follow Kognitos.
Common questions about this episode
What is this episode about?
A deep dive into AI governance and privacy. The episode discusses the International Association of Privacy Professionals' guidance on AI governance and what it takes to build a governance program with top-down understanding and buy-in across the enterprise.
What does the episode cover about AI governance?
How to structure an AI governance program from scratch, why executive buy-in is the foundation, frameworks for evaluating privacy and fairness in AI systems, and practical guidance on mitigating harms before they reach production.
Why does AI governance matter for enterprise automation?
Without governance, AI automation in finance, healthcare, or HR can create privacy, fairness, and compliance risks that scale faster than the value the AI delivers. Governance is what lets enterprises move agentic AI from pilot to production safely.
How does this episode relate to Agentic AI and enterprise automation?
Governance is the difference between an AI demo and an AI you can run a Fortune 500 process on. The episode lays the groundwork for the governance themes Kognitos covers in depth in The Logic of AI Magic — including episode 3, Building Guardrails Before You Scale.
Where can I listen to this episode?
Listen on Apple Podcasts or Spotify — links are at the top of this page. Explore more episodes on AI governance and responsible enterprise automation at /podcast/.