Main Article Content
Abstract
Artificial Intelligence (AI) has become a transformative force in entrepreneurship, enabling startups and established ventures to improve operational efficiency, enhance customer experiences, optimize decision-making, and create innovative business models. Entrepreneurs increasingly leverage AI technologies such as machine learning, natural language processing, predictive analytics, and generative AI to identify market opportunities, automate business processes, and gain competitive advantages. However, the rapid integration of AI into entrepreneurial activities has raised significant ethical concerns relating to fairness, transparency, accountability, privacy, data governance, algorithmic bias, and societal impact. These ethical challenges influence not only organisational performance but also stakeholder trust, regulatory compliance, and sustainable business development. This conceptual study examines the intersection of AI ethics and entrepreneurship by reviewing existing literature on ethical AI frameworks and entrepreneurial decision-making. Drawing on secondary data from peer-reviewed journals, books, and policy reports, the paper explores key ethical principles, governance mechanisms, and challenges associated with AI-driven ventures. The study argues that responsible AI adoption should be viewed as a strategic capability rather than merely a compliance requirement. The findings suggest that entrepreneurs who integrate ethical AI principles into venture creation and innovation are better positioned to build sustainable, trustworthy, and socially responsible businesses. The paper concludes by highlighting future research directions and practical implications for entrepreneurs, educators, policymakers, and investors.