https://github.com/w3c/ai-web-impact
An analysis of the systemic impact, on the Web, of AI systems, and in particular ones based on Machine Learning models, and the role that Web standardization may play in managing that impact
https://github.com/w3c/ai-web-impact
ai ml mlmodels webstandards
Last synced: 9 months ago
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An analysis of the systemic impact, on the Web, of AI systems, and in particular ones based on Machine Learning models, and the role that Web standardization may play in managing that impact
- Host: GitHub
- URL: https://github.com/w3c/ai-web-impact
- Owner: w3c
- Created: 2024-03-12T08:31:22.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-08-20T13:30:53.000Z (almost 2 years ago)
- Last Synced: 2025-01-30T09:23:10.151Z (over 1 year ago)
- Topics: ai, ml, mlmodels, webstandards
- Language: HTML
- Homepage: https://www.w3.org/reports/ai-web-impact/
- Size: 244 KB
- Stars: 21
- Watchers: 18
- Forks: 3
- Open Issues: 14
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Metadata Files:
- Readme: README.md
- Code of conduct: CODE_OF_CONDUCT.md
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README
# AI & the Web: Understanding and managing the impact of Machine Learning models on the Web
This repository hosts discussions on the systemic impact of AI systems, and Machine Learning models in particular, on the Web, based on [a write-up of the W3C Team current shared understanding](https://w3c.github.io/ai-web-impact/) of this space.
We invite the community to complete or correct that analysis by raising issues on the repository - please make sure these are focused on topics where the impact of AI systems can be qualified of systemic, and ideally, where a coordinated or standardized approach can have an effect.