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Talks & Presentations

I speak to technical and non-technical audiences.

Below are a selection of recent talks and presentations, by theme:

Disinformation and influence:

  • Influence, authority, and trust in the age of intelligent systems
  • Power, persuasion, and credibility after algorithms
  • Decision-making in a world of unverifiable information
  • Why AI Makes False Information More Persuasive
  • How confident machines amplify misinformation
  • The Automation of Persuasion: From targeted messages to automated belief shaping

Psychology and human–AI interaction:

  • Why AI Feels Intelligent, and Why That Matters
  • The Illusion of Understanding
  • The psychology of working with AI systems
  • Why AI feels personal
  • Cognitive offloading and decision atrophy
  • Cognitive sovereignty (staying independent in a world of persuasive, always-available intelligence)

Trust, reliability, and “knowledge”:

  • AI: trust, reliability, and deployment realities
  • Evaluating AI outputs when there’s no ground truth
  • When AI can be treated as a knowledge source
  • Building AI products people trust

Safety, control, responsibility, and alignment:

  • How Much Autonomy Is Too Much?

    • (guardrails, constraints, structured autonomy)

  • What “Responsible AI” Really Means in Practice
  • Alignment Is a Human Problem
  • Alignment beyond theory (what it means to align systems with human goals
  • Human–AI alignment and misalignment

Foundations of AI:

  • The difference between reasoning, retrieval, and generation
  • How large language models work (without the math)

Interfaces and language:

  • How Language Changed Computing
  • Language as an Interface or why talking to machines changes everything

History and big questions:

  • The history of Artificial Intelligence (from early ideas to today’s generative wave)
  • Turing’s legacy and the challenges it still poses
  • Fluent, Confident, and Wrong

Entrepreneurship and strategy:

  • Entrepreneurship in the age of AI
  • Where startups really get leverage from AI
  • The cost curves and tradeoffs of using foundation models
  • When to build, buy, or rely on platforms