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.

2,364 searchable experts 2,966 tracked across all sources
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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 MIT Sloan ×

The developments commanding sustained expert attention

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

New AI field signal Development 10h ago
⚡ 393 h early
272 experts survey urgent AI risks

These are the most urgent AI risks, according to 272 experts | MIT Sloan

2 directory members surfaced this signal.

2 experts 1 community 1 sources clustered
How the network is reacting 2 experts are emphasizing concern & critique.
Shared emphasis

Concern & critique

2 experts

Risks, limits and unintended consequences.

““Researchers asked 272 experts to evaluate 24 AI risks based on their likelihood and severity of harm between 2025 and 2030.””

New AI field signal Signal 11h ago

AI financial advice is surprisingly good — especially if you ask the right questions | MIT Sloan

1 directory member surfaced this signal.

1 expert 0 communities 1 sources clustered

“Research by MIT Sloan assistant professor Taha Choukhmane and co-authors showed that following AI recommendations can result in sizable saving buffers for virtually all individuals above age 30. https://t.co/Lsqb1dY5Yx”

New AI field signal Signal 12h ago

How will AI automation hit — like a crashing wave or a rising tide? | MIT Sloan

1 directory member surfaced this signal.

1 expert 0 communities 1 sources clustered

“The conventional fear about artificial intelligence and jobs is that disruption will arrive suddenly — a wave that knocks workers over before they have time to adapt. But new research from @MITFutureTech suggests a different future. https://t.co/ScoO1wtfZu”

Developing AI field signal Signal 1d ago

6 questions to guide your AI strategy | MIT Sloan

1 directory member surfaced this signal.

1 expert 0 communities 1 sources clustered

“Before deploying AI technology, leaders need to think about how they want to do business differently and why that would be better for their customers and employees. Without this framing, even well-resourced AI initiatives will stall. https://t.co/YEcmJvVYxl”