Expert attention map

The Who's Who of AI

What credible people across AI noticed, why it matters, and where the field is converging or disagreeing.

2,397 searchable experts 4,280 tracked across all sources
Filter the conversation Who is saying what?

Combine a professional role with a reaction lens. Both must match the same attributed contribution.

Clear all
Active evidence filter

Showing developments with attributable Policy & governance reactions.

New Network reaction maps

See how experts are reacting—not just what they shared.

Posts are grouped by conversation and tone. Select a lens to filter the stream; these are never permanent labels on people.

Showing signals surfaced by Tamara Kneese ×

The developments commanding sustained expert attention

One card per development. Sources are clustered; reaction bundles describe these posts, never the people behind them.

Established AI field signal Analysis 16d ago
⚡ 4 h early
Gebru Bender AI war risk essay

Forget ‘superintelligence’: error-prone AI nearly sparked world war three this month | Timnit Gebru and Emily M Bender

11 experts across 3 network communities independently surfaced this.

Why this matches Policy & governance reaction 2 attributable expert contributions · Emily M. Bender, Karen Gregory
“New from @timnitgebru.blacksky.app and me: "It is high time for us to regulate usage of systems sold as “AI”, not because they are magical machines, but because they are error-prone products that shouldn’t be used in high stakes scenarios." www.theguardian.…” evidence ↗
11 experts 3 communities 1 sources clustered
How the network is reacting 4 experts are independently emphasizing concern & critique.
Reaction converging

Concern & critique

4 experts

Risks, limits and unintended consequences.

“I'm not sure if y'all saw a CNN report on how the US had almost started WW3 with China based on fabricated information generated by a chatbot, claiming that a Chinese vessel was carrying components of nuclear weapons. That was an "existential threat" to hum…”

Policy & governance

2 experts

Rules, institutions and accountability.

“New from @timnitgebru.blacksky.app and me: "It is high time for us to regulate usage of systems sold as “AI”, not because they are magical machines, but because they are error-prone products that shouldn’t be used in high stakes scenarios." www.theguardian.…”

2 experts discussed this · 5 posts
Emily M. Bender: New from @timnitgebru.blacksky.app and me: "It is high time for us to regulate usage of systems sold as “AI”, not because they are magical machines, but because they are error-prone products that s…
Luke Stark: New from @timnitgebru.blacksky.app and me: "It is high time for us to regulate usage of systems sold as “AI”, not because they are magical machines, but because they are error-prone products that s…
Emily M. Bender: Yes we mention this in the article.
Open the full discussion →
Established Policy & governance Analysis 6d ago
⚡ 6 h early
greener AI government procurement essay

Governments Can Advance 'Greener AI' Through the Power of Procurement | TechPolicy.Press

5 experts across 2 network communities independently surfaced this.

Why this matches Policy & governance reaction 1 attributable expert contribution · Data & Society
“In @techpolicypress.bsky.social, Hannah Lipstein writes about the broader implications of “greening AI” in the public sector, and why the public has more power to shape the AI industry’s trajectory than we might think. www.techpolicy.press/governments-...” evidence ↗
5 experts 2 communities 1 sources clustered
How the network is reacting Experts are approaching this through 2 distinct lenses.
Multiple readings

Markets & investment

2 experts

Capital, companies and commercial impact.

“Based on 10 months of fieldwork, Hannah Lipstein shares five takeaways from "Greening AI in the public sector," a new procurement handbook for agencies weighing AI's environmental impacts.”

Policy & governance

1 expert

Rules, institutions and accountability.

“In @techpolicypress.bsky.social, Hannah Lipstein writes about the broader implications of “greening AI” in the public sector, and why the public has more power to shape the AI industry’s trajectory than we might think. www.techpolicy.press/governments-...”