Subject Access

Ben Martin

Welcome to Subject Access, the show where we interview legal, compliance, and policy experts operating at the intersection of law, data protection, and AI. In each episode, we move beyond the theory to unpack how the ecosystem actually works. With the help of our guests, we look at what the rules are, how organisations are interpreting and implementing them, and what is coming next. What to expect... We skip the hype to have thoughtful conversations about the things that actually matter to practitioners. We'll map the direction of travel for data law, and focus on practical implementation. Whether looking at regulatory developments or internal operating models, our goal is to help you understand how rules truly impact product, governance, and strategy. About the Host: Your host is Ben Martin, Legal Engineer and Head of Privacy at Wordsmith AI. Ben has an in-house privacy background (Trustpilot, King, and OVO), trained at Osborne Clarke, and is the author of GDPR for Startups and Scaleups. His focus is on pragmatic, business-aligned delivery, looking at how work is done, not just the theory. Join us to share tested approaches, compare notes, and help set practical standards for the next wave of AI and data governance.

Episodes

  1. 2 MAR

    EP2 - Why is designing ethical AI so important?

    Summary: In this episode of Subject Access, host Ben Martin engages with Marie Potel-Saville, co-founder of Fair Patterns and Amurabi, to explore the intersection of law, privacy, and AI. They delve into the ethics of AI, the concept of privacy by design, and the implications of dark patterns in technology. Marie shares her journey from traditional legal practice to her current focus on ethical AI and human-centric legal design, emphasising the need for transparency and critical thinking in AI interactions. The conversation highlights the challenges privacy professionals face in navigating consent and the evolving landscape of AI, urging a shift towards more responsible design practices that prioritise user empowerment and ethical considerations. Keywords: AI ethics, privacy by design, dark patterns, legal design, human-centric AI, automation bias, consent management, ethical AI, user testing, critical thinking Takeaways: "We need to ensure that AI tools enhance human capabilities, not erode them.""User testing with privacy professionals involved is the silver bullet for compliance.""Automation bias can lead to a loss of critical thinking skills.""Legal red teaming can help identify risks in AI products." Chapters: 00:00 Introduction to AI Ethics and Privacy by Design 01:50 Marie's Journey in Legal Transformation 05:36 The Shift in Privacy and AI Ethics 19:18 Exploring Dark Patterns in AI 26:24 Human-Centric AI Design Responsibilities 38:32 Quick Wins for Ethical AI Design 42:23 Rapid Fire Questions on Dark Patterns and Skills

    49 min

About

Welcome to Subject Access, the show where we interview legal, compliance, and policy experts operating at the intersection of law, data protection, and AI. In each episode, we move beyond the theory to unpack how the ecosystem actually works. With the help of our guests, we look at what the rules are, how organisations are interpreting and implementing them, and what is coming next. What to expect... We skip the hype to have thoughtful conversations about the things that actually matter to practitioners. We'll map the direction of travel for data law, and focus on practical implementation. Whether looking at regulatory developments or internal operating models, our goal is to help you understand how rules truly impact product, governance, and strategy. About the Host: Your host is Ben Martin, Legal Engineer and Head of Privacy at Wordsmith AI. Ben has an in-house privacy background (Trustpilot, King, and OVO), trained at Osborne Clarke, and is the author of GDPR for Startups and Scaleups. His focus is on pragmatic, business-aligned delivery, looking at how work is done, not just the theory. Join us to share tested approaches, compare notes, and help set practical standards for the next wave of AI and data governance.