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 Context & explanation reactions.

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Context & explanation Policy & governance
1 live reaction map in this view Jump to the evidence ↓
Multiple readings Europe 2031 — What getting AI wrong means for us Policy & governance · 2 attributable reactions
Showing signals surfaced by Judith Dada ×
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The developments commanding sustained expert attention

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

Established Policy & governance Analysis 16d ago
⚡ 14 h early
Europe 2031 AI failure risks analysis

Europe 2031 — What getting AI wrong means for us

5 experts across 2 network communities independently surfaced this.

Why this matches Context & explanation reaction 1 attributable expert contribution · tachikoma
“a new AI 2027 scenario is out but this time focused on Europe. nothing in it is new, but the scenario laid out seems more realistic than the 2027 version because the scope is tighter. the timeline though might be too fast, hard to say.” evidence ↗
5 experts 2 communities 1 sources clustered
Tom Schaul Judith Dada Michiel Bakker tachikoma Stefanie Hane
How the network is reacting Experts are approaching this through 2 distinct lenses.
Multiple readings

Policy & governance

1 expert

Rules, institutions and accountability.

“First the Fable ban, now this. The https://t.co/w7TUnJHWxU timeline keeps accelerating 😬 https://t.co/hXJys0ags9”

Context & explanation

1 expert

Background, chronology and why it matters.

“a new AI 2027 scenario is out but this time focused on Europe. nothing in it is new, but the scenario laid out seems more realistic than the 2027 version because the scope is tighter. the timeline though might be too fast, hard to say.”

Primary source europe2031.ai ↗