Incident #239·AI Safety & Failures
Algorithmic Teacher Evaluation Program Reportedly Failed to Improve Student Outcomes and Was Alleged to Have Harmed Teachers
Explainability
Description
Gates Foundation-funded Intensive Partnerships for Effective Teaching Initiative's algorithmic program to assess teacher performance reportedly failed to achieve its goals for student outcomes, particularly for minority students, and was criticized for potentially causing harm against teachers.
Actors
Alleged Deployers
- intensive-partnerships-for-effective-teaching
Alleged Developers
- intensive-partnerships-for-effective-teaching
Harmed Parties
- teachers
- students
- minority-students
- minority-groups
- epistemic-integrity
- educational-communities
- economically-vulnerable-students
- economically-vulnerable-people
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.