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.

2,378 searchable experts 3,805 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 Iris van Rooij ×

What is moving across the network now

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

Developing AI field signal Development 1d ago
⚡ 47 h early
AI skill degradation early results study

Is AI ruining our skills? Early results are in — and they’re not good

13 experts across 4 network communities independently surfaced this.

Why this matches Concern & critique reaction 2 attributable expert contributions · Alondra Nelson, Scott McGrath
“I find the research increasingly compelling — this week's example being a case in point: www.nature.com/articles/d41... I look forward to reading your book and having these concerns placed in the context of earlier technological transitions and their attend…” evidence ↗
13 experts 4 communities 1 sources clustered
How the network is reacting Experts are approaching this through 2 distinct lenses.
Multiple readings

Concern & critique

2 experts

Risks, limits and unintended consequences.

“I find the research increasingly compelling — this week's example being a case in point: www.nature.com/articles/d41... I look forward to reading your book and having these concerns placed in the context of earlier technological transitions and their attend…”

Questions & unknowns

1 expert

What remains unresolved or contested.

“What a surprise ….. “Is AI ruining our skills? Early results are in — and they’re not good Reliance on artificial-intelligence tools degrades the abilities of physicians and software engineers, studies show.” www.nature.com/articles/d41...”

2 experts discussed this · 6 posts
Edouard Machery: The literature on cognitive offloading and deskilling should be taken with a serious grain of salt. See literature on video games in the 1980s, see Haidt style literature on social media. The last …
Alondra Nelson: I find the research increasingly compelling — this week's example being a case in point: www.nature.com/articles/d41... I look forward to reading your book and having these concerns placed in the c…
Edouard Machery: The issue, in my opinion, is publication bias and p-hacking. The literature is clearly titled toward finding negative effects - this is what gets in the news etc. As a result I don’t think we can t…
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Developing AI field signal Analysis 1d ago
⚡ 793 h early
critical AI essay olivia science

Critical AI

5 experts across 3 network communities independently surfaced this.

Why this matches Concern & critique reaction 2 attributable expert contributions · Olivia Guest, Jed Brown
“All my resources are in my pinned post / here olivia.science/ai but perhaps most useful for OP is this? Contra Literacy-Laundering: Mechanistic Critical AI Literacy doi.org/10.5281/zeno... 1/2” evidence ↗
5 experts 3 communities 1 sources clustered
How the network is reacting Experts are approaching this through 2 distinct lenses.
Multiple readings

Concern & critique

2 experts

Risks, limits and unintended consequences.

“All my resources are in my pinned post / here olivia.science/ai but perhaps most useful for OP is this? Contra Literacy-Laundering: Mechanistic Critical AI Literacy doi.org/10.5281/zeno... 1/2”

Research & technical analysis

1 expert

Evidence, methods and technical implications.

“@olivia.science of course has a great collection including a lot of her own research olivia.science/ai/”

2 experts discussed this · 9 posts
Olivia Guest: There's no engineering reason for human shaped robots other than that one actually. And there's so many engineering reasons against. The sooner people realise it has always been true & sexist (oliv…
Olivia Guest: Also see: bsky.app/profile/oliv... 2/
Thomas Dietterich: My colleague Jonathan Hurst (at Agility Robotics) has a long list of reasons why humanoid robots make sense. For years he was opposed to humanoids, but he found that for lifting and carrying loads,…
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Established AI research Research 3d ago
⚡ 5 h early

Contra Literacy-Laundering: Mechanistic Critical AI Literacy | Zenodo

4 experts across 2 network communities independently surfaced this.

Why this matches Concern & critique reaction 1 attributable expert contribution · Olivia Guest
“All my resources are in my pinned post / here olivia.science/ai but perhaps most useful for OP is this? Contra Literacy-Laundering: Mechanistic Critical AI Literacy doi.org/10.5281/zeno... 1/2” evidence ↗
4 experts 2 communities 1 sources clustered

“All my resources are in my pinned post / here olivia.science/ai but perhaps most useful for OP is this? Contra Literacy-Laundering: Mechanistic Critical AI Literacy doi.org/10.5281/zeno... 1/2”

3 experts discussed this · 24 posts
Olivia Guest: New preprint! So honoured to have worked with Ishani Ray on providing vital critique on "AI literacy" & correctives for those interested in understanding why "just use the newest version of an LLM"…
Olivia Guest: Maybe many mid-career and above academics have my experience, and so can relate, but it never ever gets any less impressive, overwhelming, or old when a student appears our of nowhere (notice our g…
Olivia Guest: Anyway, back to the work itself (from the abstract): > Critical discourse on large language models (LLMs) has bifurcated between epistemic dismissal [...] and pragmatic accommodation that treats LL…
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Established Culture, work & education Analysis 3d ago
⚡ 1408 h early
uncritical AI academia adoption critique

Against the Uncritical Adoption of ‘AI’ Technologies in Academia — Digital Culture & Education (ISSN: 1836-8301)

2 experts are actively discussing the implications.

Why this matches Concern & critique reaction 1 attributable expert contribution · Iris van Rooij
“"[U]niversities must take their role seriously to a) counter the AI industry’s marketing, hype & harm; and to b) safeguard higher education, critical thinking, expertise, academic freedom, and scientific integrity. (...) [W]e include pointers to relevant wo…” evidence ↗
2 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.

“"[U]niversities must take their role seriously to a) counter the AI industry’s marketing, hype & harm; and to b) safeguard higher education, critical thinking, expertise, academic freedom, and scientific integrity. (...) [W]e include pointers to relevant wo…”

Opportunity & adoption

1 expert

New capabilities, benefits and practical upside.

“And this which is now published here: www.digitalcultureandeducation.com/volume-162-p... 🌞 Against the Uncritical Adoption of 'AI' Technologies in Academia. Digital Culture & Education, 16(2), 85–118. doi.org/10.5281/zeno... 2/2”

2 experts discussed this · 11 posts
Olivia Guest: I already thought of: - "Laborwashing" (Red; "AI will liberate workers by alleviating them from boring labor" shit) - Greenwashing - Ethicswashing (blue) - Pinkwashing (I think they do pinkwashing …
Olivia Guest: Wow need to check this properly later
Iris van Rooij: Thanks @ethicsofai.bsky.social for mentioning! Here a reference. See highlighted sentence.
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