± EDUCATION Abstract The Artificial Intelligence (AI) natural language model ChatGPT (Chat Generative Pre-trained Transfo…− HEALTH Abstract Interest in the use of chatbots powered by large language models (LLMs) to support women and girls i…± LIFESTYLE Artificial Intelligence (AI) has moved beyond calculation and cognition into the domain of emotion and experi…+ SCIENCE Abstract Autonomous agents have long been a research focus in academic and industry communities. Previous res…+ HEALTH BACKGROUND: Artificial intelligence (AI), particularly generative AI, has emerged as a transformative tool in…± EDUCATION Medical education faces a scalability crisis, where rising class sizes strain individualized instruction, whi…± HEALTH BACKGROUND: The irrevocable alteration of medical education due to widespread access to large language models…− SCIENCE Online violence against women (OVAW) is a growing global problem with deepfakes in gender-based violence as o…
TruaceTracing the truth around AIMonday, July 20, 2026
Subscribe
TRV-2026-0344Certified recordPeer-reviewed

The AI risk repository: A meta-review, database, and taxonomy of risks from artificial intelligence

The risks posed by artificial intelligence (AI) concern academics, auditors, policymakers, AI companies, and the public. Researchers, policymakers, and technology companies discuss AI risks using inconsistent terminology-the same word may describe different problems, while different words describe identical concerns. This fragmentation impedes coordinated responses to AI challenges. We address this by creating the AI Risk Repository: a living database of 1,725 risks extracted from 74 existing taxonomies and fram…

Business · The Trace — both readings · certified 2026-07-20 · v1 · article view · machine-readable

Current reading — gain

Creation of a living database of 1,725 risks from 74 taxonomies provides a shared reference that enables more coordinated auditing and governing of AI systems.

Current reading — problem

AI systems pose risks across seven effect areas ranging from discrimination and privacy violations to misinformation and weapons development that concern auditors, policymakers, companies and the public.

Evidence

Reader signal

How should this claim be treated?

Cite this record

Truvace Impact Record TRV-2026-0344, v1: “The AI risk repository: A meta-review, database, and taxonomy of risks from artificial intelligence.” Truvace, 2026-07-20. /record/TRV-2026-0344 (accessed at citation time). sha256 bb353042bf7dbc30…

Calibration history

Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.

  1. Certifiedv1bb353042bf7d…

    Certified into the record

Verify this record
How to verify without trusting this page

Fetch the canonical text of any version from /api/record/TRV-2026-0344 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.