Explainable Artificial Intelligence (XAI) Approaches for Transparency and Accountability in Financial Decision-Making

Rane, Nitin; Choudhary, Saurabh; Rane, Jayesh

doi:10.2139/ssrn.4640316

Cited by 9 publications

(1 citation statement)

References 39 publications

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“…The future of AI-driven data analysis is likely to be influenced by the emergence of Explainable AI (XAI). XAI endeavors to furnish AI models that are both transparent and interpretable, thereby empowering users to comprehend the reasoning behind conclusions (6). By doing so, data analysts and decision-makers will not only gain confidence in AI systems, but also be better able to comprehend the fundamental mechanisms and patterns that emerge from the analysis.…”

Section: Ai and Scientific Data Analysismentioning

confidence: 99%

Is It Possible for Artificial Intelligence to Undermine the Root of Science?

Schlemmer

2024

Sci Insights

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Artificial intelligence (AI) has brought about a paradigm shift in numerous industries and is persistently altering the methodology employed in scientific inquiry. Although AI has the potential to streamline specific facets of the scientific method, detractors contend that its integration could potentially erode the foundations of science. A potential issue arises when an excessive dependence on AI for data analysis and experimentation results in the erosion of human creativity and intuition as pivotal components in scientific breakthroughs. The propensity for fortuitous discoveries and innovative concepts to arise from ostensibly unrelated disciplines may be impeded by AI’s emphasis on identifying patterns in preexisting data sets. Moreover, algorithms employed in AI systems that rely on training data possess an intrinsic bias, which may introduce intangible prejudices into scientific investigation. Furthermore, it is critical to specify that AI is incapable of engaging in debates or comprehending profound philosophical inquiries pertaining to the fundamental principles that govern our universe. As a result, although AI has the potential to significantly aid scientists in their endeavors, it must be implemented with prudence to guarantee that it enhances rather than erodes the fundamental tenets and character of scientific investigation.

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Section: Ai and Scientific Data Analysismentioning

confidence: 99%