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
Filter the conversation Who is saying what?

Combine a professional role with a reaction lens. Both must match the same attributed contribution.

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Active evidence filter

Showing developments with attributable Context & explanation reactions.

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 Mél Hogan / The Data Fix ×

What is moving across the network now

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

Established AI field signal Analysis 6d ago
⚡ 774 h early
ghost in machine AI healthcare essay

Ghost in the Machine

5 directory members surfaced this signal.

Why this matches Context & explanation reaction 1 attributable expert contribution · Emily M. Bender
“For an excellent overview of all of that in documentary form: notaidoc.com >>” evidence ↗
5 experts 1 community 1 sources clustered
How the network is reacting Experts are approaching this through 2 distinct lenses.
Multiple readings

Building & implementation

1 expert

How teams are shipping and applying it.

“The history of AI development is not rooted in neutral algorithms, but in entrenched systems of power that shape our lives. Ghost in the Machine dives into this history, interrogating who builds this tech, who benefits from it, and who bears the cost 👉 http…”

Context & explanation

1 expert

Background, chronology and why it matters.

“For an excellent overview of all of that in documentary form: notaidoc.com >>”