Description: Reporters from TechCrunch issued a query to Microsoft Bing's ChatGPT feature, which cited an earlier example of ChatGPT disinformation discussed in a news article to substantiate the disinformation.
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
AI
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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One of the more interesting, but seemingly academic, concerns of the new era of AI sucking up everything on the web was that AIs will eventually start to absorb other AI-generated content and regurgitate it in a self-reinforcing loop. Not s…
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If you don’t believe the rushed launch of AI chatbots by Big Tech has an extremely strong chance of degrading the web’s information ecosystem, consider the following:
Right now,* if you ask Microsoft’s Bing chatbot if Google’s Bard chatbot …
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.