4 résultats pour « xai »

Explainable AI: Can the AI Act and the GDPR go out for a Date?

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This paper examines the interplay of the AI Act and GDPR regarding explainable AI, focusing on individual safeguards. It outlines rules, compares explanations under both, and reviews EU frameworks. The paper argues that current laws are insufficient, necessitating broader, sector-specific regulations for explainable AI.
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Need for Artificial Intelligence (Ai) to Be Explainable in Banking and Finance

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The essential role of #ai in #banking holds promise for efficiency, but faces challenges like the opaque "black box" issue, hindering #fairness and #transparency in #decisionmaking #algorithms. Substituting AI with Explainable AI (#xai) can mitigate this problem, ensuring #accountability and #ethical standards. Research on XAI in finance is extensive but often limited to specific cases like #frauddetection and credit #riskassessment.
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A Time Series Approach to Explainability for Neural Nets with Applications to Risk‑Management

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"We here propose a novel XAI [eXplainable AI] technique for deep learning methods (DL) which preserves and exploits the natural time ordering of the data. Simple applications to financial data illustrate the potential of the new approach in the context of risk-management and fraud-detection."
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Explainable Artificial Intelligence (Xai) in Insurance: A Systematic Review

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"Explainable Artificial Intelligence (XAI) models allow for a more transparent and understandable relationship between humans and machines. The insurance industry represents a fundamental opportunity to demonstrate the potential of XAI, with the industry’s vast stores of sensitive data on policyholders and centrality in societal progress and innovation."
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