Incident 239: Algorithmic Teacher Evaluation Program Failed Student Outcome Goals and Allegedly Caused Harm Against Teachers
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.
Entities
View all entitiesAlleged: Intensive Partnerships for Effective Teaching developed and deployed an AI system, which harmed students , low-income minority students and Teachers.
Incident Stats
Incident ID
239
Report Count
1
Incident Date
2009-09-01
Editors
Khoa Lam
Incident Reports
Reports Timeline
bloomberg.com · 2018
- View the original report at its source
- View the report at the Internet Archive
The Gates Foundation’s big-data experiment wasn’t just a failure. It did real harm.
The Gates Foundation deserves credit for hiring an independent firm to assess its $575 million program to make public-school teachers more effective. Now th…
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.