PhilArchive
open access
Excavating “Excavating AI”: The Elephant in the Gallery
Two art exhibitions, “Training Humans” and “Making Faces,” and the accompanying essay “Excavating AI: The politics of images in machine learning training sets” by Kate Crawford and Trevor Paglen, are making substantial impact on discourse taking place in the social and mass media networks, and some scholarly circles. Critical scrutiny reveals, however, a self-contradictory stance regarding informed consent for the use of facial images, as well as serious flaws in their critique of ML training sets. Our analysis underlines the non-negotiability of informed consent when using human data in artistic and other contexts, and clarifies issues relating to the description of ML training sets.
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
- The Ethics of Climate Nudges: Central Issues for Applying Choice Architecture Interventions to Climate Policy#767864
- Schrödinger’s Copyright: A Proof by Absurdity of the Legal Inconsistency in AI-Generated Art#105016
- Forget Me Not? Machine Unlearning's Implication for Privacy Law#1177205
- Artificial Intelligence and Cultural Production: Possible Impacts on Creativity and Copyright Law#964455
- Ethical pitfalls for natural language processing in psychology#115983
Record · ID 749907
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