Algorithmic Discrimination

Any condition in which an AI system's use results in unlawful differential treatment or a disparate impact disfavoring individuals based on actual or perceived protected characteristics (e.g., age, race, disability, national origin, sex, religion, genetic information, limited English proficiency, veteran status, reproductive health). The term anchors the law's central non-discrimination objective and enforcement focus.

Discrimination that results from the design, training, or deployment of automated decision-making tools and leads to unlawful differential treatment or disparate impacts against protected characteristics under the NJLAD.

AI-generated outcomes that systematically disadvantage, exclude, or treat individuals unfairly based on protected characteristics, resulting from biased data, design, or deployment practices. The definition underpins obligations for fairness assessments, bias testing, mitigation, and remediation to protect non-discrimination rights.

Any condition where the use of an artificial intelligence system results in an unlawful differential treatment or impact that disfavors an individual or group of individuals on the basis of actual or perceived age, color, disability, domestic violence victim status, gender identity or expression, marital status, national origin, race, religion, sex, sexual orientation, or veteran status.

Unlawful discrimination against individuals or groups resulting from the use of artificial intelligence systems, a key area the Commission is tasked to study and prevent.

Algorithmic discrimination refers to the differential treatment or impact on individuals or groups that arises from the design, development, or deployment of algorithms and automated systems, leading to outcomes that are unfair, unjust, or prejudicial. This can occur due to biased data, flawed model design, or inappropriate application, often exacerbating existing societal inequalities.

Algorithmic discrimination refers to situations where AI systems produce outcomes that unfairly disadvantage individuals or groups based on protected characteristics, such as race, gender, or age, in areas like credit, employment, or housing.

Any differential treatment or impact on individuals or groups based on protected characteristics (such as race, gender, religion, national origin, age, disability, sexual orientation, etc.) that results from the design, development, or use of an artificial intelligence system.

Outcomes where an algorithmic decision system results in unfair, unlawful, or biased treatment of individuals or groups based on protected characteristics, which the Act aims to prevent.

Discrimination that arises from biases embedded in artificial intelligence systems used for employment decisions, leading to unfair or prejudiced outcomes against individuals or groups based on protected characteristics. The Bill aimed to prevent such biases in recruitment, performance, and other HR functions.

Defined as any condition where the use of an AI system results in unlawful differential treatment or impact based on protected classes under Colorado and federal law, such as race, disability, age, or gender. The act clarifies that using AI to expand diversity or remedy historical discrimination is not considered algorithmic discrimination.

The adverse differential treatment of individuals or groups based on their actual or perceived characteristics by a high-risk artificial intelligence system, which the bill aimed to mitigate.

Algorithmic discrimination occurs when AI systems produce results that unfairly disadvantage certain groups or individuals based on protected characteristics. The Opinions emphasize the need to prevent and eliminate such biases, ensuring fairness and equal treatment in automated decision-making processes.