DA'AT Forum for Regenerative AI

DA'AT Forum 

Sustainability of human knowledge

From Generative AI to Regenerative AI

 Forum Newsletter

Every week, the world measures what machines know. Almost no one measures what happens to what people know.

DA'AT is a forum of the Department of Information Science and Applied Artificial Intelligence at Bar-Ilan University. It focuses on a question that will shape the coming decade.

"What does AI leave in the hands of people and society after it  answers?"

 

Our vision

A society in which every advance in artificial intelligence becomes an advance in human knowledge.

DA'AT is building a new field: the sustainability of human knowledge. It treats human knowledge the way environmental science treats natural resources, as capital that can be measured, worn down and renewed. That capital exists at three levels:

Personal

What each of us knows, understands and can do on our own.

Collective

The diversity and independence of thinking across a society.

Shared

The sources, creators, languages and heritage that feed all of us, and the machines too.

Regenerative AI is AI that, on balance, adds to this capital. It leaves people more capable, keeps a diversity of views alive, and sustains the sources it learns from.

 

Why "DA'AT"?

Hebrew tradition names three levels of wisdom.

חכמה Chochmah: First perception.

בינה Binah: Understanding one thing from another. It gives "artificial intelligence" its Hebrew name.

דעתDa'at: Joining the details into a whole, making it your own, and turning it into judgment and action.

Machines now have impressive binah. Da'at is still human.

 

Questions we explore

  • When does AI help build skill, and when does it create "knowledge debt"?

  • Does "the AI said so" replace the original source in our memory?

  • Do personal AI agents quietly shift their users' preferences?

  • When millions rely on similar models, do the public's errors start to line up?

  • Will signs that public knowledge resources are wearing down appear in Hebrew before English?

  • Can we train models to optimize for measured human growth rather than momentary satisfaction?

  • Can an interface inspired by the layout of the Talmud page, which keeps sources and disagreement visible, strengthen independent thinking?

 

What you'll get: the DA'AT monthly newsletter

  • 📚Research digest: carefully selected findings on how AI is changing learning, memory, judgment, trust and diversity of thought.

  • 🎤First access to invitations for our monthly seminar, workshops and forum events.

  • 🔬Inside the research: updates from Bar-Ilan researchers and guest scholars.

  • 💡Practical takeaways for educators, managers, AI developers and policymakers on adopting AI that builds expertise instead of eroding it.

  • 🤝Ways to get involved: working groups, collaborations and taking part in studies.

One email a month. No spam. Unsubscribe anytime.

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