AI Governance for Organizations: Building Your Framework Before Regulations Arrive

Contributors: Arohi Pathak, Parneet Kaur, Sharanya Chowdhury

Introduction

India’s AI market is on a steep growth curve one report projects it will triple to about $17 billion by 20217 and most business leaders see AI as vital to staying competitive. In fact, 79% of leaders say AI is critical for competitiveness, yet 60% are concerned their company lacks a clear AI strategy. At the same time, public concern is mounting: a World Economic Forum study finds 75% of people now worry about AI’s ethical risks like bias, privacy invasion, job loss, etc. Not to forget, AI can quickly escalate from a driver of innovation to a source of harm. The risks are already visible, unauthorized deepfakes impersonating individuals privacy breaches where personal data is harvested without consent to train models and cybersecurity threats where AI powers sophisticated attacks against organizations. Unchecked AI can also lead to discrimination in hiring, undermining the right to equality, autonomous systems acting without oversight, endangering safety; and even national security concerns through the misuse of AI in cyber warfare.

In India, policymakers are already signaling future AI rules. For example, a March 2024 MeitY advisory requires platforms to clearly label AI-generated content and implement safeguards against misuse. Rather than wait for laws to be passed, leading organizations can self-regulate by establishing internal AI governance now setting a responsible, ethical framework that aligns with values and stakeholder trust.

Top AI Risks Organizations Must Address in 2025

Algorithmic Bias and Discrimination
Privacy Violations and Data Leakage
Black-Box AI and Lack of Explainability
Deepfakes and Misinformation
AI Supply Chain Risk
Autonomy vs Human Oversight
Set a Clear Vision and Tone from the Top

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