Published Paper Details:

Artificial Intelligence (AI) is transforming industries, enhancing efficiency, and addressing complex challenges. However, its rapid integration has raised significant ethical and societal concerns, particularly in the areas of bias, privacy, and job displacement. Bias in AI arises from unrepresentative training data and flawed algorithms, leading to unfair outcomes in critical domains such as hiring, law enforcement, and healthcare. Privacy challenges emerge as AI systems increasingly rely on vast amounts of personal data, raising concerns about surveillance, consent, and data misuse. Furthermore, AI-driven automation disrupts traditional job markets, with routine tasks being replaced by intelligent systems, posing risks of significant workforce displacement. This paper explores these challenges and examines strategies to address them, including the development of fairness-aware algorithms, privacy-preserving techniques such as differential privacy and encryption, and workforce reskilling programs to mitigate economic disruptions. It also reviews ethical frameworks emphasizing transparency, accountability, and global cooperation in AI governance. By integrating interdisciplinary approaches and fostering ethical AI practices, this paper underscores the need to balance technological advancements with societal well-being, ensuring that AI promotes equity, preserves fundamental rights, and creates opportunities for a sustainable future.