OpenAlex
metadata only
Transparency versus explanation: The role of ambiguity in legal AI
Dealing with opaque machine learning techniques, the crucial question has become the interpretabilityof the work of algorithms and their results. The paper argues that the shift towards interpretation requiresa move from artificial intelligence to an innovative form of artificial communication. In m
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- AIL: Integrating LLM Capacity Awareness, Legal Intuition, and Lexis Understanding into Legal Information Extraction#1178447
- The Role of Artificial Intelligence in Shaping Future Intellectual Property Law and Policy: Regulatory Challenges and Ethical Considerations#964562
- ANALYSING POWER OF ARTIFICIAL INTELLIGENCE IN INDIAN LAWS: EFFECTS AND CONTEMPLATIONS#1176645
- Moral transparency of and concerning algorithmic tools#225426
- Comparing definitions of data and information in data protection law and machine learning: A useful way forward to meaningfully regulate algorithms?#461657
Record · ID 1178457
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive