The Brave Technologist

The Brave Technologist

Technology is reshaping society—but how are users included in the conversation? The Brave Technologist explores how emerging technologies like artificial intelligence, machine learning, and Web3 are influencing our lives, our choices, and our collective future. Unlike many tech podcasts that focus on hype and disruption, this show puts users at the center of the conversation. Each episode features thoughtful discussions with technologists working to ensure that innovation serves the public interest. How are these tools impacting users? And how can we ensure that technology is developed with transparency, accountability, and the public good in mind? We're going deep with founders, builders, policy makers and researchers to explore the worlds of privacy, AI, crypto, digital rights, algorithmic accountability, and everywhere else where cutting edge technology impacts our daily lives.
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Resumen del episodio

Ken Liu (Computer Science PhD at the Stanford AI Lab) and Erik Chi (CS PhD at UMich) are the Creators of the Open Anonymity Project, which lets people prove things about themselves online without revealing their identity. In this episode we explore what it means for AI systems to "know" you; why today's so-called privacy modes fall short; and how the next generation of AI systems could be built with privacy as a default, rather than an afterthought. Key Takeaways: What "unlinkable inference" means and why it changes the privacy model of AI chat tools What actually happens to your data the moment you hit "send" in a typical AI system Why incognito mode in AI tools is largely a UI illusion, rather than a real privacy protection The role of metadata in identifying and profiling users, and how "secretary models" could enable personalization without sacrificing privacy How anti-censorship and privacy intersect in a future dominated by agentic AI systems Why now is the time to rethink assumptions about privacy in…

Episodios

287-

Your AI Chats Aren't Private (And How "Unlinkable Inference" Can Help)

Ken Liu (Computer Science PhD at the Stanford AI Lab) and Erik Chi (CS PhD at UMich) are the Creators of the Open Anonymity Project, which lets people prove things about themselves online without revealing their identity. In this episode we explore what it means for AI systems to "know" you; why today's so-called privacy modes fall short; and how the next generation of AI systems could be built with privacy as a default, rather than an afterthought. Key Takeaways: What "unlinkable inference" means and why it changes the privacy model of AI chat tools What actually happens to your data the moment you hit "send" in a typical AI system Why incognito mode in AI tools is largely a UI illusion, rather than a real privacy protection The role of metadata in identifying and profiling users, and how "secretary models" could enable personalization without sacrificing privacy How anti-censorship and privacy intersect in a future dominated by agentic AI systems Why now is the time to rethink assumptions about privacy in…

13 mayo 2026
286-

Why Cyberattacks Are Now a Matter of Life and Death

Ed Gaudet, CEO and founder of Censinet, shares how cybersecurity threats have evolved from data breaches to full-scale operational disruptions, and why modern resilience strategies must go beyond prevention. He explains why ransomware has fundamentally changed the stakes, how AI is rapidly expanding the attack surface, and what organizations are getting wrong about risk. He also highlights the human and cultural factors that remain the weakest link in security and why leadership is critical to driving real change. Key Takeaways How ransomware has raised the stakes from financial loss to real-world consequences, including risks to human life The overlooked ways AI is entering organizations through existing tools, and how this is creating new vulnerabilities Why organizations must shift from prevention-only strategies to prioritizing response and recovery capabilities How human behavior and organizational culture continue to be the biggest risk factors in cybersecurity What a modern, holistic resilience…

06 mayo 2026
285-

General Assembly: The Skills That Actually Matter Now

Jourdan Hathaway, Chief Business Officer at General Assembly, discusses her experience integrating AI agents into her admissions team, including stories of real-world complexities, edge cases, and unexpected messiness of the implementation. We also explore the evolving AI skills gap and how companies have now shifted from expecting basic AI literacy to prioritizing skills like AI workflow design, critical thinking, and the ability to build AI-driven business solutions. Key Takeaways: Which new human roles are emerging around AI optimization and oversight, even as repetitive tasks are automated How human strengths like judgment and ambiguity navigation remain critical as AI takes over first drafts, pattern recognition, and execution speed What implementing AI agents actually looks like in practice, and why edge cases and human psychology matter more than expected The evolving role of mentorship and how being specific, proactive, and action-oriented makes people far more likely to invest in your growth Guest…

29 abr. 2026
284-

Inside MCP: How AI Agents Are Learning to Talk to Each Other

Andy Maskin, Director of AI Creative Technology at Publicis Sapient, explains why brands are shifting from SEO to "AI visibility," where success is no longer about ranking on search engines but instead showing up in tools like ChatGPT. He also explains how agentic AI fails without clean data and modernized systems. How MCP (Model Context Protocol) enables AI agents to communicate and coordinate tasks using natural language across systems Why the most transformative AI use cases won't come from prototypes, and how technical debt is a hidden blocker Ways AI is pushing companies to rethink customer experience, such as eliminating friction from chatbots Examples of AI transformation features from companies layering agentic systems on top of legacy infrastructure and unclean data Guest Bio: Andy Maskin is Director of AI Creative Technology at Publicis Sapient. He's a Generative AI SME in both theory and practice, with a current focus on agentic marketing applications. Across his career he's focused on the way…

22 abr. 2026
283-

AI Anxiety: The Occupational Identity Crisis

Dr. Maha Hosain Aziz, an international relations professor at NYU and Global Foresight Advisor at the World Economic Forum, highlights the often-overlooked societal, economic, and psychological impacts of AI adoption. She explores the growing anxiety around job displacement and the emerging "occupational identity crisis" occurring as AI reshapes industries and how people define purpose and stability in their careers. She also reveals how shifts in world order, the rise of tech companies as powerful global actors, and increasing mental health concerns are all interconnected in the age of AI. Key Takeaways: Mental health challenges linked to AI-driven uncertainty The Rising reliance on AI for emotional support How global power dynamics are shifting as BigTech gains influence The "occupational identity crisis" as AI reshapes our relationship with work Guest Bio: Dr Maha Hosain Aziz has crafted a portfolio career in global risk and future trends based at NYU's MA International Relations Program: She is a…

15 abr. 2026