WorkThe story, in brief

Is paying artists enough to convince them to embrace AI?

Pippa bets artist royalties can solve AI's biggest PR problem. Early sign it might work.

Illustration of two anonymous hands arranging task cards around an amber tool on a shared desk.
People, judgement and the changing nature of work.AI illustration by KeyNews
The KeyNews take

Why it matters

A new class of AI startups is attempting to address the training-data ethics crisis by paying artists upfront. This signals both a shift in how generative AI companies compete and a potential resolution pathway for a dispute that has shaped AI policy and regulation for two years.

The key facts

10 to know
  1. Pippa positions itself as ethical alternative to competitors training on unlicensed artist work

  2. Artist payment model emerging as competitive differentiation in gen AI

  3. Legal battles over model training data still ongoing

  4. Text-to-video startups experimenting with royalty-based licensing

  5. Artist adoption of AI tools historically blocked by trust and compensation concerns

  6. Pippa positions itself as 'ethical' alternative to competitors training without artist permission

  7. Years of artist backlash and legal battles over unauthorized training data scraping

  8. New AI startups emerging with artist-compensation models as competitive differentiation

  9. Text-to-video model access as primary product offering

  10. Unresolved question: whether royalty payments can align AI adoption with creator interests

Go to the source

The Verge AItheverge.com

Publisher excerpt: Illustrators have spent years sounding the alarm about generative artificial intelligence startups training their models on artists' work without permission. They've pointed out how the practice is tantamount to theft, and in response, many gen AI boosters have argued that it's necessary for the…
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