Revealing Limitations in AI: The 2016 Winograd Schema Challenge
July 14, 2016
The 2016 Winograd Schema Challenge underscored the performance gaps between advanced AI systems and random chance, with a success rate of only 3% above random. This incident serves as a reminder for the importance of trustworthy AI development. Ready to help shape responsible AI? JOIN US. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM).
- Alleged deployer
- researchers
- Alleged developer
- researchers
- Alleged harmed parties
- researchers
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/21
Data source
Incident data is from the AI Incident Database (AIID).
When citing the database as a whole, please use:
McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.
Pre-print on arXiv · Database snapshots & citation guide
We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.