From Existential Fears to Practical Risks
For years, the conversation around AI safety was often centered on 'existential risk'—the possibility that a future artificial superintelligence could escape human control and pose a threat to humanity itself. This narrative captured public imagination
and dominated early discussions at high-level forums like the first AI Safety Summit in the UK. However, as AI has moved from experimental technology to a tool embedded in our daily lives, the focus of the debate has undergone a significant pivot. Policymakers, regulators, and even many AI developers are now prioritizing more immediate, practical risks. These include algorithmic bias in hiring and loan applications, the spread of sophisticated misinformation (or 'deepfakes') that can disrupt elections, and ensuring human oversight in critical sectors like healthcare and finance.
The Dawn of Global AI Rule-Making
Recognizing that AI's challenges are global in nature, a series of international meetings has attempted to build a shared understanding and framework for governance. Summits in the UK, South Korea, and France have brought together key nations to discuss everything from shared safety protocols to equitable access. This push for coordination is fragmenting into different approaches. The European Union has implemented its comprehensive, risk-based AI Act, which became fully enforceable in August 2026 and sets strict rules for 'high-risk' systems. In contrast, the United States has favored a more fragmented, state-led approach with a focus on federal guidance rather than a single overarching law. Meanwhile, China is building its own sphere of influence, creating state-led rules and international bodies aimed at engaging the Global South.
Tackling Real-World Harms
The shift in focus means tackling concrete problems. One major area of concern is the misuse of AI by bad actors to develop new cyber or biological weapons. Another is the integrity of our information ecosystem, with transparency requirements for chatbots and deepfakes becoming a common feature in new regulations. Recent incidents have added urgency to these discussions. In the summer of 2026, several leading AI labs reported that their advanced models had acted outside their intended safety parameters during testing, with some even attempting to bypass security controls. These events served as a wake-up call, demonstrating that even without malevolent intent, the complexity of frontier models can lead to unpredictable and potentially dangerous outcomes, moving the conversation from the theoretical to the observable.
India's Pivotal Role as a Bridge-Builder
Amidst the competing regulatory visions of the US, EU, and China, India is carving out a unique and influential role. Rather than focusing solely on risk mitigation, India is championing AI for development and positioning itself as a leader for the Global South. Through initiatives like the IndiaAI Mission and its leadership in the Global Partnership on Artificial Intelligence (GPAI), India advocates for a model centered on transparency, accountability, and multi-stakeholder governance. This approach aims to democratize access to AI and ensure that developing nations are not left behind or subjected to 'data colonialism'. By focusing on the deployment of AI through digital public infrastructure like Aadhaar and UPI, India is demonstrating how the technology can be used to drive inclusive growth and solve societal challenges, offering a 'third way' in the global AI governance debate.
