Ethical Considerations in Artificial Intelligence

Abstract

This paper provides an overview of the current landscape of ethical considerations in artificial intelligence (AI).
The rapid integration of AI technologies across diverse sectors has prompted intense scrutiny of their societal impacts. This
review explores key ethical challenges, focusing on issues such as bias in facial recognition, predictive policing, healthcare
diagnostics, hiring tools, deepfake technology, autonomous vehicles, AI-powered surveillance, mental health support
chatbots, and automated content moderation on social media. Each example elucidates complex ethical dilemmas, ranging
from privacy concerns and discriminatory outcomes to the responsible deployment of AI in critical decision-making
scenarios. The paper emphasizes the need for transparent, fair, and accountable AI systems. It also underscores the
importance of ongoing interdisciplinary research, collaborative stakeholder engagement, and the development of robust
regulatory frameworks to navigate the evolving ethical landscape of AI