Subject Access

In this episode, Ben interviews Elly Meenan and Laura Jeffords-Greenberg, experts in AI implementation in the legal space.They discuss their advocacy for AI, the impact of AI on legal work, the importance of culture in AI adoption, building a culture of AI adoption, the impact of AI on team structure, measuring impact, dealing with cultural challenges, and addressing risk aversion in AI adoption. The conversation highlights the challenges and opportunities of implementing AI in legal and privacy functions, emphasizing the need for use cases and experimentation to drive adoption.The conversation covers the challenges of overcoming fear and skepticism in AI adoption, the measurement of ROI and data metrics for AI adoption, favorite use cases for AI and its impact on daily life, and the future of AI with a focus on agents and automation.TakeawaysAI Implementation ChallengesCulture and AdoptionUse Cases and Experimentation Managing skepticism and fearPractical applications of AIChapters00:00 Advocacy for AI in Legal Space11:11 Measuring Impact and Dealing with Cultural Challenges27:04 Overcoming Fear and Skepticism in AI Adoption39:15 Favorite Use Cases for AI and Its Impact on Daily Life46:19 The Future of AI: Agents and Automation

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 thinkingTakeaways:"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 Design01:50 Marie's Journey in Legal Transformation05:36 The Shift in Privacy and AI Ethics19:18 Exploring Dark Patterns in AI26:24 Human-Centric AI Design Responsibilities38:32 Quick Wins for Ethical AI Design42:23 Rapid Fire Questions on Dark Patterns and Skills

In this episode, I'm joined by Emma Erskine-Fox, a Partner in the Data, Privacy and Cybersecurity team at TLT.We dive deep into the question: Is privacy about to die? And we look at the question through three lenses:1. Privacy paradox.Do people care about privacy? Will they trade data for things they feel are valuable or cool. We look at open Banking vs LLM usage and the difference around perceived value and privacy awareness.2. Regulatory overload.GDPR, AI Act, DMA, DSA. Death by assessment? And privacy teams becoming more multidisciplinary.3. Changes brought about by Agentic AI.When AI agents start making decisions and acting autonomously, how do you explain what happened? How do you apply human oversight to something designed to work without humans?