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
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Showing developments with attributable Concern & critique reactions.

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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 Daniel Solove ×

The developments commanding sustained expert attention

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

Developing AI business Development 2d ago
⚡ 7 h early
companies pull back from AI rush

Companies rushed in on AI. Now some are pulling back

12 experts across 3 network communities independently surfaced this.

Why this matches Concern & critique reaction 1 attributable expert contribution · Rosamunde Van Brakel
“Microsoft found that “adding agents to a broken process still leaves a broken process” and “speeding up one step just creates a longer queue at the next” www.theguardian.com/technology/2...” evidence ↗
12 experts 3 communities 1 sources clustered
How the network is reacting Experts are approaching this through 3 distinct lenses.
Multiple readings

Questions & unknowns

2 experts

What remains unresolved or contested.

“I am sorry, which company is this? www.theguardian.com/technology/2...”

Concern & critique

1 expert

Risks, limits and unintended consequences.

“Microsoft found that “adding agents to a broken process still leaves a broken process” and “speeding up one step just creates a longer queue at the next” www.theguardian.com/technology/2...”

Research & technical analysis

1 expert

Evidence, methods and technical implications.

“You could 've asked any experienced information system/tech researchers, & we could have told you what would happen. ”Companies rushed in on AI. Now some are pulling back. Rapid AI adoption left workers cleaning up a flood of errors and low-quality work." w…”

Established AI field signal Signal 9d ago

papers.ssrn.com

5 experts across 2 network communities independently surfaced this.

Why this matches Concern & critique reaction 1 attributable expert contribution · Woodrow Hartzog
“I have posted a new draft w/ @jessicasilbey.bsky.social titled "AI Slop." We argue that "AI slop" isn't just slang. It's useful for distinguishing between cheap and dangerous AI output and the kinds of meaningful human authorship that strengthen our cultura…” evidence ↗
5 experts 2 communities 1 sources clustered
Established AI business Development 8d ago
TSA facial recognition data mishandling

DHS Inspector General Finds That TSA is Not Properly Safeguarding Passenger Facial Recognition Data

3 experts across 2 network communities independently surfaced this.

Why this matches Concern & critique reaction 1 attributable expert contribution · Daniel Solove
“Surprise, surprise! The TSA isn't properly safeguarding facial recognition data. But don't worry, if it's leaked or hacked, you can just get a new face. www.eff.org/deeplinks/20...” evidence ↗
3 experts 2 communities 1 sources clustered

“Surprise, surprise! The TSA isn't properly safeguarding facial recognition data. But don't worry, if it's leaked or hacked, you can just get a new face. www.eff.org/deeplinks/20...”

““Although TSA states that it is ‘committed to protecting traveler privacy,’ the audit highlights that this has not been the case.””

Established Policy & governance Analysis 8d ago
strict liability AI executives policy essay

Strict Liability for AI Executives

2 experts are actively discussing the implications.

Why this matches Concern & critique reaction 1 attributable expert contribution · Daniel Solove
“Danielle Citron @daniellecitron.bsky.social on accountability for AI. Builds on her work on strict liability for data breaches - an early piece called Reservoirs of Danger, which is also well worth reading. www.project-syndicate.org/commentary/a...” evidence ↗
3 experts 1 community 1 sources clustered
How the network is reacting Experts are approaching this through 2 distinct lenses.
Multiple readings

Concern & critique

1 expert

Risks, limits and unintended consequences.

“Danielle Citron @daniellecitron.bsky.social on accountability for AI. Builds on her work on strict liability for data breaches - an early piece called Reservoirs of Danger, which is also well worth reading. www.project-syndicate.org/commentary/a...”

Policy & governance

1 expert

Rules, institutions and accountability.

“Strict Liability for AI Executives by @daniellecitron.bsky.social 🔥 www.project-syndicate.org/commentary/a...”

2 experts discussed this · 2 posts
Daniel Solove: Danielle Citron @daniellecitron.bsky.social on accountability for AI. Builds on her work on strict liability for data breaches - an early piece called Reservoirs of Danger, which is also well worth…
Danielle Citron: Thanks Dan!!
Danielle Citron: Danielle Citron @daniellecitron.bsky.social on accountability for AI. Builds on her work on strict liability for data breaches - an early piece called Reservoirs of Danger, which is also well worth…
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Established AI field signal Analysis 19d ago
AI senate hearing satirical commentary

Rogue AI! doodles from senate hearing

2 directory members surfaced this signal.

Why this matches Concern & critique reaction 1 attributable expert contribution · Daniel Solove
“Check out Meg Leta Jones‘s wonderful illustrated recap of the Congressional hearing on how to address the harms of AI, featuring the testimony of Paul Ohm. megleta.substack.com/p/rogue-ai-d... She's now on Substack - follow her!” evidence ↗
2 experts 2 communities 1 sources clustered

“Check out Meg Leta Jones‘s wonderful illustrated recap of the Congressional hearing on how to address the harms of AI, featuring the testimony of Paul Ohm. megleta.substack.com/p/rogue-ai-d... She's now on Substack - follow her!”