6 résultats pour « ethical »

The Ethics of Generative AI in Tax Practice

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.

Need for Artificial Intelligence (Ai) to Be Explainable in Banking and Finance

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.

The Unconscious Conscience of Digital Transformation: The Chief Compliance Officer

This paper explores the evolving role of #compliance in #digitaltransformation (#dt), as corporations globally embrace technology to enhance competitiveness and address responsible, #ethical, and #sustainable practices. It analyzes the current and potential role of Compliance in DT, emphasizing the need to manage #governance, #risk, and compliance aspects and leverage #esg objectives. The authors conducted interviews with Compliance heads and facilitated a Salon attended by General Counsel and Compliance professionals. The purpose is to encourage international discussions on Compliance's role in digital transformation.

A Rumsfeldian Framework for Understanding How to Employ Generative AI Models for Financial Analysis

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This paper explores the use of #generativeai models in financial analysis within the Rumsfeldian framework of "known knowns, known unknowns, and unknown unknowns." It discusses the advantages of using #ai #models, such as their ability to identify complex patterns and automate processes, but also addresses the #uncertainties associated with generative AI, including #accuracy concerns and #ethical considerations.