category

AI Risks

Common risks that can happen when AI systems are built, deployed, or used.

Showing 1541-1560 of 1769 records

Amplification of cyberattacks

Amplification of cyberattacks is an AI risk in 4. Malicious Actors & Misuse focused on 4.2 > Cyberattacks, weapon development or use, and mass harm. It is mo...

Attacks on GPAIs/GPAI Failure Modes

Attacks on GPAIs/GPAI Failure Modes is an AI risk focused on X.1 > Excluded. It is most relevant during 4 - Not coded.

Direct Harm Domains (content safety harms)

Direct Harm Domains (content safety harms) is an AI risk in 1. Discrimination & Toxicity focused on 1.2 > Exposure to toxic content. It is most relevant duri...

Physical Hazards

Physical Hazards is an AI risk focused on X.1 > Excluded. It is most relevant during 2 - Post-deployment.

AI-Powered Spear-Phishing at Scale

AI-Powered Spear-Phishing at Scale is an AI risk in 4. Malicious Actors & Misuse focused on 4.1 > Disinformation, surveillance, and influence at scale. It is...

Surveillance and Censorship

Surveillance and Censorship is an AI risk in 4. Malicious Actors & Misuse focused on 4.1 > Disinformation, surveillance, and influence at scale. It is most r...

Privacy and Data Protection

Privacy and Data Protection is an AI risk in 2. Privacy & Security focused on 2.1 > Compromise of privacy by leaking or correctly inferring sensitive informa...

Harming users’ data privacy

Harming users’ data privacy is an AI risk in 2. Privacy & Security focused on 2.1 > Compromise of privacy by leaking or correctly inferring sensitive informa...

Poor model accuracy

Poor model accuracy is an AI risk in 7. AI System Safety, Failures, & Limitations focused on 7.3 > Lack of capability or robustness. It is most relevant duri...

Fine-tuning related (Excessive or overly restrictive safety-tuning)

Fine-tuning related (Excessive or overly restrictive safety-tuning) is an AI risk in 7. AI System Safety, Failures, & Limitations focused on 7.3 > Lack of ca...

Fine-tuning related (Unexpected competence in fine-tuned versions of the upstream model)

Fine-tuning related (Unexpected competence in fine-tuned versions of the upstream model) is an AI risk in 7. AI System Safety, Failures, & Limitations focuse...

Reinforcement learning AI (Training performance related)

Reinforcement learning AI (Training performance related) is an AI risk focused on X.1 > Excluded. It is most relevant during 1 - Pre-deployment.

Supervised/unsupervised AI (AI data quality related - biased training data)

Supervised/unsupervised AI (AI data quality related - biased training data) is an AI risk focused on X.1 > Excluded. It is most relevant during 1 - Pre-deplo...

Dimension - Technical Attributes (AI inadequacy - technical failure)

Dimension - Technical Attributes (AI inadequacy - technical failure) is an AI risk focused on X.1 > Excluded. It is most relevant during 1 - Pre-deployment.

Lack of capability for task

Lack of capability for task is an AI risk in 7. AI System Safety, Failures, & Limitations focused on 7.3 > Lack of capability or robustness. It is most relev...

Nascent capabilities (agency and autonomy)

Nascent capabilities (agency and autonomy) is an AI risk.

4.0 > Malicious use AI Risks

4.0 > Malicious use groups 24 AI risk records under 4. Malicious Actors & Misuse.

Risk area 5: Human-Computer Interaction Harms

Risk area 5: Human-Computer Interaction Harms is an AI risk in 5. Human-Computer Interaction focused on 5.1 > Overreliance and unsafe use. It is most relevan...

Generation of personalized content for harassment, extortion, or intimidation

Generation of personalized content for harassment, extortion, or intimidation is an AI risk in 4. Malicious Actors & Misuse focused on 4.3 > Fraud, scams, an...

Interconnectivity with malicious external tools

Interconnectivity with malicious external tools is an AI risk in 2. Privacy & Security focused on 2.2 > AI system security vulnerabilities and attacks. It is...