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Słownik AI

Kompletny słownik sztucznej inteligencji

162
kategorie
2 032
podkategorie
23 060
pojęcia
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Pre-deployment Ethical Audit

In-depth examination of algorithmic components, data, and decision-making processes to detect biases and discriminations before production deployment.

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Ethical Impact Matrix

Structured assessment tool for quantifying and visualizing potential ethical consequences across multiple dimensions and stakeholders.

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Bias Risk Score

Quantitative indicator measuring the probability and severity of algorithmic discriminations based on protected characteristics.

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Procedural Fairness Test

Assessment checking whether AI decision-making processes treat all individuals fairly regardless of their personal characteristics.

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Ethical Sensitivity Analysis

Method for examining variations in the system's ethical outcomes in response to changes in input data or model parameters.

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Stakeholder Mapping

Process of identifying and analyzing all actors affected by the AI system to assess potential differentiated impacts.

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Societal Impact Framework

Holistic assessment structure measuring collective and long-term effects of AI deployment on social cohesion and institutions.

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Algorithmic Transparency Metric

Set of indicators quantifying the ability of users and regulators to understand and interrogate AI decision-making mechanisms.

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Ethical Validation Protocol

Standardized series of tests and verifications ensuring system compliance with established ethical principles before deployment.

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Distributive Justice Indicator

Measure evaluating the equity of benefit and burden distribution of the AI system among different demographic groups.

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Ethical Robustness Assessment

Test of the system's ability to maintain its ethical guarantees in the face of manipulation attempts or adverse conditions.

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Non-Discrimination Test

Systematic verification of the absence of unjustified differential treatment based on protected characteristics in algorithmic decisions.

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Accountability Framework

Organizational structure defining responsibilities, oversight mechanisms, and recourse pathways for AI decisions and impacts.

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Human Rights Impact Assessment

Systematic analysis of the potential effects of the AI system on the exercise of internationally recognized fundamental rights.

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Consequentialist Analysis Method

Evaluation approach focusing on the actual outcomes and consequences of the system rather than its intentions or intrinsic principles.

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Systemic Bias Assessment Protocol

Comprehensive methodology to identify emergent discriminations from the complex interaction between data, algorithms, and usage contexts.

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Algorithmic Vulnerability Matrix

A mapping tool identifying populations and situations at high risk of negative impact from system automated decisions.

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Predictive Fairness Test

Statistical evaluation of the model's prediction consistency across different groups to ensure equitable performance.

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Regulatory Impact Assessment Framework

An analytical structure ensuring the AI system's compliance with legal and regulatory requirements applicable in its deployment domain.

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