Need for ethical governance for robotics and artificial intelligence (AI) systems

Published on 25 Nov 2025

• Bias and Fairness: Ethical governance involves mitigating biases and ensuring fairness in AI algorithms and decision-making processes, preventing discriminatory outcomes.

• Example: The Amazon hiring algorithm’s gender bias raised concerns about fair hiring, emphasizing the importance of ethical AI governance.

• Accountability and Transparency: Ethical governance implements accountability mechanisms for AI errors and harmful actions, prioritizing transparency to explain system decisions to those affected.

• Example: In healthcare, Explainable AI (XAI) can explain why it recommended a particular treatment.

• Safety and Security: Ethical governance includes robust safety measures to prevent accidents or misuse of autonomous technologies, especially in self-driving cars and industrial automation.

• Example: Ethical governance in the military use of autonomous drones is essential to avoid civilian harm and curb unauthorized deployment.

• Privacy and Surveillance: Ethical governance safeguards individuals’ privacy by regulating the collection, storage, and use of personal data by AI systems and surveillance technologies.

• Example: Aadhaar’s service facilitation contrasts with data breaches and biometric misuse, spurring discussions on ethical governance for data and privacy protection.

• Job Displacement and Economic Impact: Ethical governance considers AI and robotics’ impact on employment and the economy, encompassing reskilling, safety nets, and transition policies.

• Human Rights and Dignity: Ethical governance guarantees AI and robotics uphold human rights and dignity, safeguarding against discrimination, privacy breaches, and autonomous system-induced harm.

Tags:
Ethics, Integrity and Aptitude

Keywords:
Need for ethical governance for robotics and artificial intelligence systems AI artificial intelligence ethical governance

Syllabus:
General Studies Paper 4

Topics:
Public Service Values