Malaysian Judiciary AI Sentencing Allegedly Disproportionate: A Call for Responsible AI Governance
February 19, 2020
The AI system employed by the Malaysian judiciary, using age, employment, and socio-economic data, reportedly recommended an unusually high sentence for a drug possession case. Such incidents highlight the need for trustworthy, safe, and secure AI, as well as robust governance structures like those provided by Project Cerebellum's AI incident database. Join us in shaping responsible AI with your expertise.JOIN US This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM).
- Alleged deployer
- malaysian-judiciary, malaysian-courts
- Alleged developer
- sarawak-information-systems
- Alleged harmed parties
- malaysian-convicted-people
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/180
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.