• Abhishek Bhosale
• Aditi Adhalkar
• H.R.Kulkarni
• Rajashri Gaikwad

The integration of Artificial Intelligence (Al) into public policy decision -making presents both opportunities and ethical challenges. While Al can improve efficiency, accuracy, and evidence-based policymaking. it also raises Concerns about bias. transparency, accountability, and privacy. Earty scholarship (2021—2023) highlighted risks of algorithmic discrimination, opacity, and democratic deficits, particularly in predictive policing and welfare systems. More recent research (2024—2025) emphasizes practical mitigation strategies, including fairness-aware algorithms, continuous auditing, and embedding ethical safeguards into system design. Case studies such as the COMPAS toot in the U. S. , the SYRI welfare system in the Netherlands. and Al healthcare applications in the uk reveal both benefits and risks. International frameworks like UNESCO's 2021 guidelines stress.The importance of human-centric Al governance. This paper argues that the transformative potential of Al in governance can only be realized through ethical design, regulatory oversight, transparency, and protection Of civil liberties.

Artificial Intelligence, Public Policy, Al Ethics, Transparency, Algorithmic Bias, Accountability, Privacy, Governance, Fairness, Democratic Legitimacy

"Al Ethics in Public Policy decision", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 1, page no.347-351, January-2026, Available :http://www.jetir.org/papers/JETIRHG06035.pdf

"Al Ethics in Public Policy decision", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 1, page no. pp347-351, January-2026, Available at : http://www.jetir.org/papers/JETIRHG06035.pdf