Incident 287: OpenAI’s GPT-3 Reported as Unviable in Medical Tasks by Healthcare Firm
Description: The French digital care company, Nabla, in researching GPT-3’s capabilities for medical documentation, diagnosis support, and treatment recommendation, found its inconsistency and lack of scientific and medical expertise unviable and risky in healthcare applications. This incident has been downgraded to an issue as it does not meet current ingestion criteria.
Entities
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Incident ID
287
Report Count
1
Incident Date
2020-10-27
Editors
Khoa Lam
GMF Taxonomy Classifications
Taxonomy DetailsKnown AI Goal
Question Answering
Known AI Technology
Transformer, Language Modeling, Distributional Learning
Known AI Technical Failure
Distributional Artifacts
Potential AI Technical Failure
Limited Dataset, Problematic Input, Robustness Failure, Overfitting, Underfitting, Inadequate Sequential Memory
Incident Reports
Reports Timeline

The following former incidents have been converted to "issues" following an update to the incident definition and ingestion criteria.
21: Tougher Turing Test Exposes Chatbots’ Stupidity
Description: The 2016 Winograd Schema Challenge highli…
Variants
A "variant" is an incident that shares the same causative factors, produces similar harms, and involves the same intelligent systems as a known AI incident. Rather than index variants as entirely separate incidents, we list variations of incidents under the first similar incident submitted to the database. Unlike other submission types to the incident database, variants are not required to have reporting in evidence external to the Incident Database. Learn more from the research paper.
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