# daviddao/awful-ai

😈Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness

Repository: https://github.com/daviddao/awful-ai
Canonical: https://ross.abutalabs.com/products/awful-ai
Homepage: https://twitter.com/dwddao
License Family: other
Last push: 2025-02-20T04:13:24+00:00

## Health v2 (maintenance only)
Score: 26/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 7, release rhythm 8, longevity 100
- inputs: {"age_days": 3081, "days_push": 559, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 7553, forks 263 (observed 2026-08-28T04:10:01.591357+00:00)

## What it is
Awful AI is a curated list tracking current scary and harmful usages of AI, covering categories like discrimination, disinformation, surveillance, and autonomous weapons. It aims to raise awareness of AI misuse in society and spur discussion of preventive countermeasures.

## Use cases
- find examples of AI being used for surveillance
- research AI bias and discrimination cases
- track deepfakes and AI disinformation incidents
- study ethical risks of AI for a paper or course
- find contestational AI projects that fight misuse

## When to choose
- you need a curated catalog of real-world AI misuse cases
- you are researching AI ethics, safety, or policy
- you want awareness material for discussions on harmful AI

## When to avoid
- you need software or tools rather than a reading list
- you want positive or neutral AI resources
- you need a comprehensive academic survey with citations

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: artificial-intelligence, awesome-lists, privacy, security
- platform: -
- tags: awesome-list, ai-ethics, ai-safety, curated-list, awareness, ai-misuse, ethics, web-server

## Member repositories
- daviddao/awful-ai (main) score 26

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:01.591357+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:37:23.597397+00:00, confidence not recorded.
  - readme: https://github.com/daviddao/awful-ai (fetched 2026-08-28T04:10:01.591357+00:00, sha 08f7720d223e)
- Data as of 2026-08-30T08:39:29.467469+00:00.