Ethical AI in Autonomous Systems and Decision-making

The rise of autonomous systems has reshaped industries ranging from transportation to healthcare, yet their ethical implications remain a pressing concern. Ethical AI in autonomous systems and decision-making focuses on designing frameworks that prioritize fairness, accountability, and transparency while mitigating biases and unintended harm. This research investigates the ethical challenges posed by autonomy, including moral dilemmas, algorithmic biases, and the trade-off between human oversight and machine independence. Leveraging interdisciplinary insights from philosophy, computer science, and regulatory perspectives, the study proposes a roadmap for embedding ethical principles into the development and deployment of autonomous systems. The findings underscore the importance of stakeholder collaboration, ethical audits, and adaptive governance to ensure that these systems align with societal values and norms.