HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

UK Ofqual's Algorithm Disproportionately Provided Lower Grades Than Teachers' Assessments

August 13, 2020

The UK Office of Qualifications and Examinations Regulation (Ofqual)'s grade-standardization algorithm, intended to predict grades for A level and GCSE qualifications across the UK, Wales, Northern Ireland, and Scotland, has been reportedly issuing lower grades than teachers' assessments. Notably, this trend appears disproportionately in state schools, raising concerns about AI bias and fairness. This incident underscores the importance of trustworthy AI and responsible governance in the realm of education, a key area monitored by Project Cerebellum. For those interested in shaping the future of AI to ensure safe and secure education practices, JOIN US.

Learn how HISPI Project Cerebellum TAIM can help address these issues through its Govern, Map, Measure, or Manage functions.

Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

Alleged deployer
uk-office-of-qualifications-and-examinations-regulation
Alleged developer
uk-office-of-qualifications-and-examinations-regulation
Alleged harmed parties
a-level-pupils, gcse-pupils, pupils-in-state-schools, underprivileged-pupils

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/374

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.