Karnataka Forms Committee to Develop Responsible AI Policy: Governance and Ethical Implications

Hindustan Times - India · 13 Mar 2026 · 2 min read
Prelims · Polity Mains · GS2 Governance High relevance

Karnataka has established a Responsible AI Committee to create a policy framework ensuring safe, transparent, and accountable AI use in government systems, addressing risks like discriminatory profiling and automated decision-making.

Key points

Committee Composition: Chaired by Infosys co-founder Kris Gopalakrishnan and co-chaired by Karnataka's IT Secretary N Manjula, the committee includes experts from industry, academia, policy, and law, ensuring multidisciplinary oversight.

Policy Objectives: The committee aims to develop principles for responsible AI, classify AI applications by risk, and prohibit practices like social scoring and unlawful surveillance, aligning with constitutional safeguards under Articles 14 and 21.

Timeline: An interim report is expected within 60 days, with final recommendations in 90 days, covering policy frameworks, risk classification, and implementation roadmaps for government departments.

High-Risk Sectors: The committee will focus on AI applications in welfare delivery, healthcare, education, policing, and public safety, ensuring accountability and transparency in high-stakes decision-making.

Data Governance: The policy will address data privacy, cybersecurity, and procurement guidelines for AI systems, critical for upholding fundamental rights under the IT Act and PDP Bill.

[GS3-Economy] The initiative aligns with Karnataka's tech-driven growth strategy, positioning the state as a leader in AI innovation while addressing ethical concerns, potentially attracting investments and creating jobs.

Global Context: Karnataka's move mirrors global efforts like the EU AI Act, emphasizing the need for localized governance frameworks to balance innovation with citizen rights.

Way Forward: Karnataka should establish an AI regulatory sandbox for testing ethical frameworks, mandate algorithmic transparency audits, and create a grievance redressal mechanism for AI-related harms.

Key terms

Responsible AI

AI systems designed to operate ethically, ensuring fairness, transparency, and accountability. For UPSC, this intersects with GS2 governance (accountability) and GS3 technology (innovation policies), reflecting global trends like the EU AI Act.

Algorithmic Transparency

The principle that AI decision-making processes should be explainable to users and auditors. Crucial for UPSC as it relates to right to information (Article 19) and administrative accountability in governance.

Social Scoring

The use of AI to rate citizens' behavior, often leading to exclusion or discrimination. Relevant for UPSC under GS2 (fundamental rights) and GS4 (ethics), highlighting risks of mass surveillance.

High-Risk AI Applications

AI systems used in critical sectors like healthcare or policing where errors can cause significant harm. For UPSC, this connects to GS3 (technology risks) and GS2 (public service delivery).