Description: Australian defense lawyer Rishi Nathwani KC reportedly filed submissions in a Supreme Court of Victoria murder case that included allegedly fictitious quotes and nonexistent case citations purportedly generated by AI. The errors were reportedly discovered by the judge's associates, causing a 24-hour delay in the proceedings. Nathwani apologized in court, taking full responsibility, while Justice James Elliott criticized the incident and reiterated that AI outputs must be independently verified.
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The OECD AI Incidents and Hazards Monitor (AIM) automatically collects and classifies AI-related incidents and hazards in real time from reputable news sources worldwide.
Entities
View all entitiesAlleged: Unknown generative AI developer developed an AI system deployed by Rishi Nathwani, which harmed Rishi Nathwani , Accused minor in Victoria state murder case , Daniel Porceddu , James Elliott , Supreme Court of Victoria and Judicial integrity.
Alleged implicated AI system: Unknown generative AI technology
Incident Stats
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
3.1. False or misleading information
Risk Domain
The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
- Misinformation
Entity
Which, if any, entity is presented as the main cause of the risk
Human
Timing
The stage in the AI lifecycle at which the risk is presented as occurring
Post-deployment
Intent
Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
Unintentional
Incident Reports
Reports Timeline
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MELBOURNE, Australia (AP) --- A senior lawyer in Australia has apologized to a judge for filing submissions in a murder case that included fake quotes and nonexistent case judgments generated by artificial intelligence.
The blunder in the S…
Variants
A "variant" is an AI incident similar to a known case—it has the same causes, harms, and AI system. Instead of listing it separately, we group it under the first reported incident. Unlike other incidents, variants do not need to have been reported outside the AIID. Learn more from the research paper.
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