Transparency in AI Supply Chains: Addressing Ethical Dilemmas in Data Collection and Usage

Abstract

This paper investigates the ethical dilemmas inherent in data collection and usage within AI supply chains, highlighting the critical need for transparency. Data privacy, bias, and informed consent have become paramount concerns as AI systems drive decision-making processes. By examining current practices and frameworks, this research underscores the importance of transparent data practices and proposes actionable strategies for enhancing ethical standards in AI development. Through case studies and recommendations, the paper aims to contribute to a more accountable and responsible AI ecosystem, fostering trust among stakeholders and ensuring fair use of data.