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September 10, 2025European Modern Studies JournalOpen Access

Ethical AI in Business Intelligence: Balancing Innovation with Responsible Data Use

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PPPranitha Potturi

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Overview

The article explores ethical challenges like algorithmic bias and data privacy in AI-driven analytics, highlighting strategic approaches for businesses.

Key Points

  • The implementation of AI in business analytics presents significant ethical challenges, including algorithmic bias and transparency issues.
  • Evidence shows that organizations addressing ethical AI strategically, through measures like ethics committees, gain competitive advantages.
  • Practical approaches such as comprehensive bias testing and clear data usage policies can help navigate ethical dilemmas in AI.
  • A case study in financial services illustrates how improved oversight and accountability led to better customer relationships and regulatory standing.

Cite This Study

Pranitha Potturi (2025) studied this question.

synapsesocial.com/papers/68c23abeb210217d6478256chttps://doi.org/10.59573/emsj.9(4).2025.98
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