Glossary items Archive

Adverse Impact Analysis

This is typically a bias audit that specifically evaluates an automated decisioning tool (AEDT) under the four-fifths rule, which is used by the EEOC as a potential sign of discrimination. The four-fifths rule is violated when the ratio between the selection rates (or pass rate) between the highest and lowest scoring groups (e.g. race or gender categories) is less than 80%.

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AI Compliance

AI Ethics & Compliance, AI Transparency, Bias & Fairness, Data Management, Model Validation

AI compliance involves an organization understanding the legal and regulatory obligations of its AI systems and demonstrating compliance. For example, companies that use AI models for employment in New York City are required to comply with Local Law 144.

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AI Ethics

AI Ethics & Compliance, AI Transparency, Bias & Fairness, Model Validation

The study and development of principles and guidelines to ensure that AI is designed, developed, and deployed in a manner that is beneficial, fair, transparent, and respects human rights.

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AI Explainability

AI Ethics & Compliance, AI Tools, AI Transparency, Model Validation

The process of interpreting how a model arrived at its decision in a way that humans can understand. Explainability is important to gain trust in the AI system and to make sure AI is logical, robust, and fair.

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AI Transparency

AI Ethics & Compliance, AI Transparency, Bias & Fairness

Transparency of AI systems involves informing stakeholders about the system’s objectives and processes. This could include details about how the model was trained, what data is used, and how risks are mitigated.

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Artificial Intelligence (AI)

AI Ethics & Compliance, AI Tools, AI Transparency

Artificial Intelligence (AI) refers to the simulation of human intelligence in machines or computer systems.

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Automated Employment Decisioning Tool (AEDT)

AI Tools, Bias & Fairness

A program that uses machine learning, statistical inference, artificial intelligence, or data analytics to replace or assist decision-making.

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Bias Audit

AI Ethics & Compliance, AI Transparency

A bias audit is a review process to check if an AI system's decisions or predictions are unfairly favoring or discriminating against specific groups based on factors like race or gender. The type and nature of the bias will depend on the context of the model and how it is used.

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Data Governance

Data Management

A set of practices and procedures for managing an organization’s data, including how data is acquired, how it’s used, and how it’s retained. A data governance program should cover how data is made secure, private, accurate, available, and usable.

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Generative AI (GenAI)

AI Tools

We decode the definition of a predictive model in plain english. Whether you're new to the concept or seeking a deeper grasp of its technical aspects, you'll find it here.

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