AI ETHICS, BALANCING INNOVATION AND ACCOUNTABILITY

Abstract

Artificial Intelligence (AI) is revolutionizing various sectors, offering unprecedented capabilities in data analysis, prediction, and decision-making. However, its integration into society raises critical ethical considerations. This paper examines the ethical implications of AI development and deployment, focusing on the delicate balance between innovation and accountability. Through case studies like Clearview AI and Google's Project Maven, it highlights the need for transparency, fairness, oversight, and responsibility throughout the AI lifecycle. Emerging trends in AI ethics and regulation, including fairness and bias mitigation, transparency, accountability, privacy protection, and ethical use cases, are discussed. The growing role of AI ethics committees and regulatory bodies reflects efforts to address these challenges and ensure responsible AI development. Collaboration across academia, industry, government, and civil society is essential to navigate the ethical complexities of AI and foster a future where AI serves the common good while upholding ethical principles and societal values. The paper concludes with a comprehensive overview of the proposed strategies, emphasizing the importance of balancing innovation with accountability in the evolving landscape of AI development. This work contributes to the ongoing discourse on AI ethics, offering a roadmap for navigating the challenges and fostering responsible AI development practices.