Reclaiming the digital commons - Bennett Institute for Public Policy
Recent progress in AI has been dramatic, promising benefits such as productivity gains but also significant disruption. Alan Chan and Herbie Bradley make the case for a National Data Trust to ensure the public can benefit from the corporate use of massive amounts of data to build new AI models.
Recent progress in AI has been dramatic, promising benefits such as productivity gains but also significant disruption. Alan Chan and Herbie Bradley make the case for a National Data Trust to ensure the public can benefit from the corporate use of massive amounts of data to build new AI models. The stated aim of frontier AI labs such as OpenAI is to build “highly autonomous systems that outperform humans at most economically valuable work,” possibly within the coming decade . Recent innovations such as ‘generative AI’ (artificial intelligence) or ‘large language models’ (LLMs) underpinning Ope
Explore this link on the map →related reading
- Dario Amodei — Policy on the AI Exponentialdarioamodei.com
- CSET-AI-Triad-Report.pdfcset.georgetown.edu
- Unlocking a Million Times More Data for AI | IFPifp.org
- America’s AI Action Planwhitehouse.gov
- There Is No A.I. | The New Yorkernewyorker.com
- State of Data (Jan 2026)seancai.com
- LAION-5B, Stable Diffusion 1.5, and the Original Sin of Generative AI | TechPolicy.Presstechpolicy.press
- AI and the 'Why Now' of Data DAOs – Variantvariant.fund
- The people paid to train AI are outsourcing their work… to AI | MIT Technology Reviewtechnologyreview.com
- A new vision of artificial intelligence for the people | MIT Technology Reviewtechnologyreview.com
- Your Data Helped Build ChatGPT. Where’s Your Payout? - The Atlantictheatlantic.com
- AI & The Real Price of Free - by Kobby Ankomah Grahamkobbyankomah.substack.com