Incident 21: translated-fr-Tougher Turing Test Exposes Chatbots’ Stupidity (migrated to Issue)
Description: translated-fr-The 2016 Winograd Schema Challenge highlighted how even the most successful AI systems entered into the Challenge were only successful 3% more often than random chance. This incident has been downgraded to an issue as it does not meet current ingestion criteria.
Entités
Voir toutes les entitésPrésumé : Un système d'IA développé et mis en œuvre par Researchers, a endommagé Researchers.
Classifications de taxonomie CSETv0
Détails de la taxonomiePhysical System
Where relevant, indicates whether the AI system(s) was embedded into or tightly associated with specific types of hardware.
Software only
Level of Autonomy
The degree to which the AI system(s) functions independently from human intervention. "High" means there is no human involved in the system action execution; "Medium" means the system generates a decision and a human oversees the resulting action; "low" means the system generates decision-support output and a human makes a decision and executes an action.
High
Nature of End User
"Expert" if users with special training or technical expertise were the ones meant to benefit from the AI system(s)’ operation; "Amateur" if the AI systems were primarily meant to benefit the general public or untrained users.
Expert
Public Sector Deployment
"Yes" if the AI system(s) involved in the accident were being used by the public sector or for the administration of public goods (for example, public transportation). "No" if the system(s) were being used in the private sector or for commercial purposes (for example, a ride-sharing company), on the other.
No
Lives Lost
Were human lives lost as a result of the incident?
No
Intent
Was the incident an accident, intentional, or is the intent unclear?
Unclear
Classifications de taxonomie GMF
Détails de la taxonomieKnown AI Goal Snippets
One or more snippets that justify the classification.
(Snippet Text: The Winograd Schema Challenge asks computers to make sense of sentences that are ambiguous but usually simple for humans to parse., Related Classifications: Question Answering)
Classifications de taxonomie CSETv1
Détails de la taxonomieIncident Number
The number of the incident in the AI Incident Database.
21
Estimated Date
“Yes” if the data was estimated. “No” otherwise.
No
Lives Lost
Indicates the number of deaths reported
0
Injuries
Indicate the number of injuries reported.
0
Estimated Harm Quantities
Indicates if the amount was estimated.
No
There is a potentially identifiable specific entity that experienced the harm
A potentially identifiable specific entity that experienced the harm can be characterized or identified.
No
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
7.3. Lack of capability or robustness
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.
- AI system safety, failures, and limitations
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
Pre-deployment
Intent
Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
Unintentional
Rapports d'incidents
Chronologie du rapport
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Les anciens incidents suivants ont été convertis en "issues" suite à une mise à jour de la définition d'incident et critères d'ingestion.
21 : Un test de Turing plus difficile révèle la stupidité des chatbots
Description : Le Winograd Schem…
Variantes
Une "Variante" est un incident de l'IA similaire à un cas connu—il a les mêmes causes, les mêmes dommages et le même système intelligent. Plutôt que de l'énumérer séparément, nous l'incluons sous le premier incident signalé. Contrairement aux autres incidents, les variantes n'ont pas besoin d'avoir été signalées en dehors de la base de données des incidents. En savoir plus sur le document de recherche.
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