<![CDATA[This Systematic Literature Review aims to identify and analyze ethical challenges arising from the implementation of artificial intelligence (AI) in entrepreneurship. The study employed the PICOC framework and PRISMA 2020 protocol for conducting systematic searches across Scopus and Google Scholar databases covering 2021–2026. From 430 identified articles, 43 articles met the stringent selection criteria and quality assessment standards and were included in the analysis. The findings reveal that principal ethical challenges encompass algorithmic bias, lack of transparency, system reliability, and accountability gaps in AI-based decision-making. The FAIR principles (Fairness, Accountability, Interpretability, Responsibility) emerged as a critical and comprehensive framework for advancing responsible AI adoption in business ecosystems. This research provides actionable recommendations for entrepreneurs, policymakers, and researchers to develop fair and sustainable technology environments.]]>
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