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.

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Showing developments with attributable Opportunity & adoption reactions.

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Showing signals surfaced by Margaret Mitchell ×

The questions experts are actively pulling apart

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

Established AI field signal Analysis 7d ago
⚡ 645 h early
academics reject uncritical AI adoption

Against the Uncritical Adoption of 'AI' Technologies in Academia

4 experts are actively discussing the implications.

Why this matches Opportunity & adoption reaction 1 attributable expert contribution · Olivia Guest
“or if you prefer text: Guest, O., Suarez, M., Müller, B., et al. (2026). Against the Uncritical Adoption of 'AI' Technologies in Academia. Digital Culture & Education. doi.org/10.5281/zeno...” evidence ↗
3 experts 1 community 1 sources clustered
How the network is reacting Experts are approaching this through 2 distinct lenses.
Multiple readings

Research & technical analysis

1 expert

Evidence, methods and technical implications.

“See, e.g., Section 4 in our position paper for an overview of how the principles can be applied to 'AI': 📝 @olivia.science , @marentierra.bsky.social et al. (2026). Against the Uncritical Adoption of 'AI' Technologies in Academia. Digital Culture & Educatio…”

Opportunity & adoption

1 expert

New capabilities, benefits and practical upside.

“or if you prefer text: Guest, O., Suarez, M., Müller, B., et al. (2026). Against the Uncritical Adoption of 'AI' Technologies in Academia. Digital Culture & Education. doi.org/10.5281/zeno...”

4 experts discussed this · 112 posts
Olivia Guest: if you hate LaTeX then raw text works too because remember: journals are supposed to typeset stuff for us: we pay them
Olivia Guest: or git, but depends how you work ofc
Olivia Guest: not a fan, but yes, a very good idea
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