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Bias and Discrimination

AI Risk

as they claim to generate biased and discriminatory results, these AI systems have a negative impact on the rights of individuals, principles of adjudication, and overall judicial integrity

Overview

A source-backed snapshot of this AI risk.

Techniques0Attack methods connected to this risk.
Mitigations0Defenses that may help with related attacks.
Records2Source records unified into this concept.

Risk profile

How the MIT AI Risk Repository categorizes this risk.

Domain1. Discrimination & Toxicity
Subdomain1.1 > Unfair discrimination and misrepresentation
Entity2 - AI
Intent2 - Unintentional
Timing2 - Post-deployment
CategoryAI Trust Management; Social Risks
SubcategoryBias and Discrimination

Merged risk records

Source records unified into this canonical risk concept.

2 recordsView all →

MITRISK-Habbal2024-29.01.01 - Bias and Discrimination

as they claim to generate biased and discriminatory results, these AI systems have a negative impact on the rights of individuals, principles of adjudication, and overall judicial integrity

Domain1. Discrimination & ToxicitySubdomain1.1 > Unfair discrimination and misrepresentationSourceArtificial Intelligence Trust, Risk and Security Management (AI TRiSM): Frameworks, Applications, Challenges and Future Research DirectionsYear2024

MITRISK-Perlo2025-70.04.01 - Bias and discrimination

"Like virtual applications of AI, EAI can display bias towards and dis- criminate against users. When EAI systems are placed in positions of power, their biases could have significant impacts on fairness in everyday interactions and on general social dynamics [105, 106]."

Domain1. Discrimination & ToxicitySubdomain1.1 > Unfair discrimination and misrepresentationSourceEmbodied AI: Emerging Risks and Opportunities for Policy ActionYear2025

Mitigations

Defenses that may help with related attacks.

No propagated mitigations. No defense is available through the connected attack methods.

Source evidence

Research source for this risk, when available.