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4 résultats pour « bias »

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.

The Ethics of Generative AI in Tax Practice

30 août 2023 Autre, risks, riskmitigation, regulatory, privacy, liability, ethical, legal, bias, aitools, verifiability, tax, output, quality, tech

The article delves into #ethical concerns with #aitools in #legal and #tax research, addressing #output #quality, #bias, #verifiability, #liability, and #privacy #risks. It explores #regulatory, #tech, and professional solutions, offering practical advice for tax professionals to safely navigate AI's challenges with #riskmitigation.

Using an Interactive Artificial Intelligence System to Augment Auditor Judgment in a Complex Task

9 janv. 2023 Autre, artificialintelligence, bias, fraudrisk, auditor, judgment, cognitiveload

"... this study experimentally examines whether using an artificial intelligence system with interactive and structured information processing features augments auditor judgment when performing a fraud risk assessment."

Uncovering The Source of Machine Bias

29 août 2022 Autre, ai, riskmitigation, algorithms, ml, bias

"By comparing the decisions output by diverse settings, we find that ML algorithms can mitigate both the preference-based bias and the belief-based bias, while the effects vary for new and repeated applicants. Based on our findings, we propose a two-step human-AI collaboration framework for practitioners to reduce decision bias most effectively."

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