In this episode, I chat with David Carson, a Pulitzer Prize-winning photojournalist and Stanford fellow. We explore his career journey and discuss the impact of AI on photojournalism. David shares insights on how AI-generated images are eroding trust in authentic news photography and demonstrates through his research how easily AI can replicate copyrighted images. We also debate the ethical challenges of AI companies using copyrighted content without compensation and the need to balance innovation with creators' rights in the AI era.

You’ll learn:

• David Carson’s Journey
  From benchwarmer goalkeeper to award-winning photojournalist—how early newspaper gigs led him to the Providence Journal, the St. Louis Post-Dispatch, and a 2015 Pulitzer Prize for his Ferguson coverage.
• The Rise of AI in Photojournalism
  Why Carson sees AI image-generation as a threat: deepfakes, democratized disinformation, and an erosion of public trust.
• Real vs. Synthetic
  Exploring “truth-default theory,” the liar’s dividend, and why six-fingered hands and full glasses of wine expose AI’s telltale flaws.
• Case Study: Ferguson Icon
  How Carson’s colleague’s iconic tear-gas photo was nearly lifted wholesale by generative models in just six prompts—and what it reveals about copyright and training-data ethics.
• Tools for Trust
  An introduction to C2PA standards and potential verification workflows to reclaim authenticity online.
• Balancing Act
  Strategies for news outlets: media and AI literacy, responsible sourcing, rapid corrections, and sustainable licensing deals.
• Looking Ahead
  Will the Internet rebel against synthetic content? Predictions on AI hype cycles, the future of general intelligence, and why the real will matter more than ever.

Key Takeaways

• Trust Is Fragile: Even perfect photos can be doubted once AI-slop floods social feeds.
• Verification Matters: Simple labeling and provenance metadata (e.g., C2PA) can help audiences distinguish fact from fiction.
• Creators Are Crucial: Photojournalists supply the real-world data that powers billion-dollar AI models—and deserve fair compensation.
• Public Rebellion: As AI-generated noise grows, audiences will gravitate back to authentic, verified content.

Resources & Links

Guest Socials:
• LinkedIn: https://www.linkedin.com/in/david-carson-628a596a/
• Stanford JSK Fellowship: https://jskfellows.stanford.edu/theft-is-not-fair-use-474e11f0d063

Carson’s Article: “AI or Not” on the impacts of generative AI in photojournalism
C2PA Specification: Coalition for Content Provenance and Authenticity (https://c2pa.org/)