Ethical AI and Data Privacy in AI-Driven Business Analytics

Abstract

Abstract:
The growing reliance on AI-driven data analytics has brought ethical concerns and data privacy to the forefront. This paper investigates strategies for ensuring responsible AI deployment within enterprise environments, emphasizing transparency, fairness, and compliance with data protection regulations. A comprehensive framework for ethical AI practices is proposed, including robust data governance, algorithmic accountability, and user-centric privacy mechanisms. Case studies demonstrate how these strategies mitigate biases, enhance trust, and ensure compliance with ethical standards, fostering a balanced approach to AI innovation.