Dataset
summary
A pipeline that trains on labeled columns, injects code, computes a similarity matrix, then runs inference to separate data columns from non-data columns and flag privacy leaks and license conflicts. A dashboard shows colored license risk and vulnerabilities, and a sharing platform plus dataset-review tool and license recommendation engine integrate SPDX 3.0 RC. Deployment claims include more than 50 site integrations and batch review to reduce hosting risk; demo video and dashboards are shown and the tooling reports successful detection and risk classification.
AI-written summary · about
chapters (8)
- 0:00Introduction
- 1:02AI data licensing challenges
- 3:29Government responses to risks
- 4:37AI tooling for license detection
- 5:43SPDX standards contributions
- 6:27Huawei’s open data platform
- 8:13SPDX 3.0 updates
- 8:36Ura SBOM demo
related talks
27mClearlyDefined: A Crowdsourced Database of Licensing Metadata
21mAuthoring Tools for Transparent Climate Reporting
24mBASIL: Traceability as Code
31mAutomating Linux Kernel Documentation for Safety-Criti...
16mranslate FOSS licenses into code
23mSecurity Considerations in API Docs
27m"Having Confidence in My Confidence Intervals": How Data Users Engage with Privacy-Protected...
46mPanel: How to learn Data Science from books?