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September 10, 2025World Journal of Advanced Research and Reviews

Ethical and Governance Challenges of AI in Information Systems: Toward Responsible Adoption in Enterprise Systems

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Authors

OEOsita Victor Egwuatu

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Implication

This article examines AI governance in enterprise systems, revealing ethical issues like algorithmic bias and data privacy.

Key Points

  • The adoption of AI in enterprise systems raises ethical concerns regarding algorithmic bias and data privacy.
  • Prevalent issues include lack of transparency and weak accountability structures affecting trust in organizations.
  • A case-based policy analysis reveals a need for a multi-stakeholder governance model integrating corporate responsibility.
  • Aligning AI practices with ethical standards is crucial for maintaining organizational integrity and societal trust.

Cite This Study

Osita Victor Egwuatu (2025) studied this question.

synapsesocial.com/papers/68c1d98554b1d3bfb60fb2edhttps://doi.org/10.30574/wjarr.2025.27.2.3064
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Also Consider

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  1. 1Architecting Trustworthy AI: Governance Frameworks For Responsible Artificial Intelligence In Enterprise Data Ecosystems2024
  2. 2Ethical Artificial Intelligence in Business: Frameworks, Challenges, and Responsible Implementation2026
  3. 3Ethical AI Governance: A Framework for Business Sustainability and Trust2025 · 1 citations
  4. 4Ethical theories, governance models, and strategic frameworks for responsible AI adoption and organizational success2025 · 52 citations
  5. 5Intelligent Data Governance and Ethical AI Framework for Enterprise Information Systems2026