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March 18, 2026Open Access

Ethical Artificial Intelligence in Business: Frameworks, Challenges, and Responsible Implementation

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Authors

VMVishal Uttam Mane

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Implication

This research explores ethical AI adoption in business, highlighting frameworks and challenges, indicating practical implications for organizations.

Key Points

  • The study investigates the importance of ethical AI in business and how organizations can implement responsible AI principles.
  • Analyzed ethical AI frameworks and principles of fairness, transparency, and accountability.
  • Investigated ethical challenges in AI decision-making, including algorithmic bias and data privacy.
  • Examined real-world applications of ethical AI in finance, healthcare, and marketing.
  • Identified key principles for responsible AI, enhancing stakeholder trust and regulatory compliance.
  • Proposed a governance model to support ethical AI adoption in enterprises.
  • Highlighted challenges such as data governance and the need for workforce skill development.

Cite This Study

Vishal Uttam Mane (2026) studied this question.

synapsesocial.com/papers/69ba429c4e9516ffd37a2fb8https://doi.org/10.5281/zenodo.19044084
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