Description: Pak 'n' Save's AI-based app, Savey Meal-bot, inadvertently suggested dangerous recipes, including one creating chlorine gas, when users entered non-food household items, raising safety and oversight concerns.
Entités
Voir toutes les entitésAlleged: Pak 'n' Save developed and deployed an AI system, which harmed Potential users of the Savey Meal-bot.
Classifications de taxonomie CSETv1
Détails de la taxonomieIncident Number
The number of the incident in the AI Incident Database.
594
AI Tangible Harm Level Notes
Notes about the AI tangible harm level assessment
People could misuse the AI to get harmful recipes--but they would have to intentionally put inedible ingredients into the AI to get these harmful recipes. This is an example of AI misuse.
Notes (special interest intangible harm)
Input any notes that may help explain your answers.
People could misuse the AI to get harmful content (ie recipes)
Special Interest Intangible Harm
An assessment of whether a special interest intangible harm occurred. This assessment does not consider the context of the intangible harm, if an AI was involved, or if there is characterizable class or subgroup of harmed entities. It is also not assessing if an intangible harm occurred. It is only asking if a special interest intangible harm occurred.
yes
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
Post-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
Un supermarché Nouvelle-Zélande qui expérimente l'utilisation de l'IA pour générer des plans de repas a vu son application produire des plats inhabituels – recommandant aux clients des recettes à base de chlore gazeux mortel, des « sandwich…
Variantes
Une "Variante" est un incident qui partage les mêmes facteurs de causalité, produit des dommages similaires et implique les mêmes systèmes intelligents qu'un incident d'IA connu. Plutôt que d'indexer les variantes comme des incidents entièrement distincts, nous listons les variations d'incidents sous le premier incident similaire soumis à la base de données. Contrairement aux autres types de soumission à la base de données des incidents, les variantes ne sont pas tenues d'avoir des rapports en preuve externes à la base de données des incidents. En savoir plus sur le document de recherche.