category
AI Risks
Common risks that can happen when AI systems are built, deployed, or used.
Showing 1401-1420 of 1686 records
Privacy compromise is an AI risk in 2. Privacy & Security focused on 2.2 > AI system security vulnerabilities and attacks. It is most relevant during 2 - Pos...
Lack of transparency is an AI risk in 7. AI System Safety, Failures, & Limitations focused on 7.4 > Lack of transparency or interpretability. It is most rele...
Multimodal deepfakes is an AI risk in 4. Malicious Actors & Misuse focused on 4.3 > Fraud, scams, and targeted manipulation. It is most relevant during 2 - P...
Data-related (Manipulation of data by non-domain experts) is an AI risk in 7. AI System Safety, Failures, & Limitations focused on 7.3 > Lack of capability o...
Overreliance is an AI risk in 5. Human-Computer Interaction focused on 5.1 > Overreliance and unsafe use. It is most relevant during 2 - Post-deployment.
Deception - Synthetic identities is an AI risk in 4. Malicious Actors & Misuse focused on 4.3 > Fraud, scams, and targeted manipulation. It is most relevant...
Meta-cognition is an AI risk in 7. AI System Safety, Failures, & Limitations focused on 7.3 > Lack of capability or robustness. It is most relevant during 3...
Deep Learning Frameworks is an AI risk in 2. Privacy & Security focused on 2.2 > AI system security vulnerabilities and attacks. It is most relevant during 1...
Academic Misconduct is an AI risk in 4. Malicious Actors & Misuse focused on 4.3 > Fraud, scams, and targeted manipulation. It is most relevant during 2 - Po...
Factuality Errors is an AI risk in 3. Misinformation focused on 3.1 > False or misleading information. It is most relevant during 2 - Post-deployment.
Environment - Pre-Deployment is an AI risk in 7. AI System Safety, Failures, & Limitations focused on 7.0 > AI system safety, failures, & limitations. It is...
Environmental harms from operating LMs is an AI risk in 6. Socioeconomic and Environmental focused on 6.6 > Environmental harm. It is most relevant during 3...
Risks from data (Risks of data leakage) is an AI risk in 2. Privacy & Security focused on 2.1 > Compromise of privacy by leaking or correctly inferring sensi...
Reverse Exposure is an AI risk in 2. Privacy & Security focused on 2.2 > AI system security vulnerabilities and attacks. It is most relevant during 2 - Post-...
Verifiability is an AI risk in 7. AI System Safety, Failures, & Limitations focused on 7.4 > Lack of transparency or interpretability. It is most relevant du...
Transparency and explainability is an AI risk in 7. AI System Safety, Failures, & Limitations focused on 7.4 > Lack of transparency or interpretability. It i...
Benchmarking (Post-deployment contamination) is an AI risk in 6. Socioeconomic and Environmental focused on 6.5 > Governance failure. It is most relevant dur...
Extrinsic is an AI risk focused on X.1 > Excluded. It is most relevant during 2 - Post-deployment.
Defamation is an AI risk in 3. Misinformation focused on 3.1 > False or misleading information. It is most relevant during 2 - Post-deployment.
Entrenchment and exacerbation of existing inequalities is an AI risk in 6. Socioeconomic and Environmental focused on 6.1 > Power centralization and unfair d...