Incident #255·AI Safety & Failures
Unreliable ShotSpotter Audio Previously Used to Convict Chicago Man in Murder Case
Explainability
Description
ShotSpotter audios were previously admitted to convict an innocent Black man in a murder case in Chicago, resulted in his nearly-one-year-long arrest before being dismissed by prosecutors as insufficient evidence.
Actors
Alleged Deployers
- chicago-police-department
Alleged Developers
- shotspotter
Harmed Parties
- michael-williams
Classification
Risk Domain
AI Safety & FailuresRisk Subdomain
7.3. Lack of capability or robustness
MIT Risk Profile
AIUnintentionalPost-deployment
Topics
Explainability
Source
Related Incidents (AI Safety & Failures)
View all →Research Papers on This Topic
View all →Concrete Problems in AI Safety
3,612 citationsJun 2016
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI
2,338 citationsJul 2019
Representation Engineering: A Top-Down Approach to AI Transparency
1,499 citationsOct 2023
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
1,178 citationsJul 2021
Mitigation Tools
Tools related to this risk domain, via shared responsible AI topics.