Algorithm Used by the Malaysian Judiciary Reportedly Recommended Unusually High Sentencing to a Drug Possession Case

February 19, 2020

The AI system utilized by the Malaysian judiciary, which takes into account age, employment, and socio-economic factors for sentencing, has reportedly recommended an unusually high sentence in a drug possession case. The lawyer involved claims this is disproportionate to the crime committed, potentially highlighting the need for safer and more responsible AI practices within judicial systems. Harm prevention and trustworthy AI governance are crucial when it comes to ensuring safe and secure AI practices. For those interested in shaping AI incident responses and improving AI governance, join us at HISPI Project Cerebellum TAIM (Govern function) to help establish guardrails for AI.

JOIN US

Matched TAIM controls

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

MEASURE 2.6 — similarity 0.690, rank 1. TAIM detail and related incidents →
MAP 4.1 — similarity 0.678, rank 2. TAIM detail and related incidents →
MAP 1.6 — similarity 0.674, rank 3. TAIM detail and related incidents →

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.