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2 résultats pour « AI Ethics »

How Ai Systems Reflect, Perpetuate, and Exacerbate Organisational Biases

14 oct. 2024 Autre, AI, bias, AI Ethics, AI/ML ethics, ML Ethics, AI/ML bias, organisational AI, ML, machine learning in organisations

The research shows that AI biases often stem from organizational pressures like cost, risk, competition, and compliance, influencing development before technical factors are considered. These biases reflect broader societal and commercial contexts, with ethical considerations often sidelined. Recommendations focus on assessing technology's impact and organizational influences on AI biases.

AI Fairness in Practice

19 mars 2024 Autre, artificial intelligence, AI regulation, AI Ethics, AI Governance, AI Fairness, AI workflow, Model Design and Development, Bias Risk Management, Ecosystem Fairness, Application Fairness, AI systems, AI Policy, Data Fairness

This workbook addresses the challenge of defining AI fairness, proposing a context-based and society-centered approach. It emphasizes equality and non-discrimination as core principles and identifies various types of fairness concerns across the AI project lifecycle. It advocates for bias identification, mitigation, and management through self-assessment, risk management, and fairness criteria documentation.

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