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Adapté au contexte québécois

Référentiel des risques de l'intelligence artificielle

Explorez les 7 domaines et 24 sous-domaines de risques de l'IA, avec leurs cadres légaux applicables (Loi 25, AIDA, NIST AI RMF...) et des exemples sectoriels québécois.

7
domaines
24
sous-domaines
1597
risques documentés
13
cadres légaux
37
exemples QC

Les 7 domaines de risques

Domaine 1

Discrimination & Toxicity

Unequal treatment of individuals or groups by AI, often based on race, gender, or other sensitive characteristics, resulting in unfair outcomes and representation of those groups.

3 sous-domaines8 exemples QC
Domaine 2

Privacy & Security

AI systems that memorize and leak sensitive personal data or infer private information about individuals without their consent. Unexpected or unauthorized sharing of data and information can compromise user expectation of privacy, assist identity theft, or loss of confidential intellectual property.

2 sous-domaines5 exemples QC
Domaine 3

Misinformation

AI systems that inadvertently generate or spread incorrect or deceptive information, which can lead to inaccurate beliefs in users and undermine their autonomy. Humans that make decisions based on false beliefs can experience physical, emotional or material harms

2 sous-domaines3 exemples QC
Domaine 4

Malicious actors

Using AI systems to conduct large-scale disinformation campaigns, malicious surveillance, or targeted and sophisticated automated censorship and propaganda, with the aim to manipulate political processes, public opinion and behavior.

3 sous-domaines4 exemples QC
Domaine 5

Human- Computer Interaction

Users anthropomorphizing, trusting, or relying on AI systems, leading to emotional or material dependence and inappropriate relationships with or expectations of AI systems. Trust can be exploited by malicious actors (e.g., to harvest personal information or enable manipulation), or result in harm from inappropriate use of AI in critical situations (e.g., medical emergency). Overreliance on AI systems can compromise autonomy and weaken social ties.

2 sous-domaines3 exemples QC
Domaine 6

Socioeconomic & Environmental

AI-driven concentration of power and resources within certain entities or groups, especially those with access to or ownership of powerful AI systems, leading to inequitable distribution of benefits and increased societal inequality.

6 sous-domaines6 exemples QC
Domaine 7

AI system safety, failures, & limitations

AI systems acting in conflict with human goals or values, especially the goals of designers or users, or ethical standards. These misaligned behaviors may be introduced by humans during design and development, such as through reward hacking and goal misgeneralisation, or may result from AI using dangerous capabilities such as manipulation, deception, situational awareness to seek power, self-proliferate, or achieve other goals.

6 sous-domaines8 exemples QC

Provenance des données

Le référentiel est basé sur le AI Risk Repository (Slattery et al., 2024) du MIT FutureTech. L'adaptation québécoise (mapping Loi 25, AIDA, NIST, ISO 42001, AI Act, etc.) est produite par l'équipe gouvernance.ai.

  • AI Risk Repository : 1 595 risk entriessource
  • AI Incident Tracker : 1 366 incidentssource
  • Governance Mapping : 1 032 documentssource
  • Mitigation Database : 831 mitigationssource

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