Harnessing AI for good: India’s leadership in responsible AI

Artificial Intelligence (AI) continues to be one of the most transformative forces of our time, reshaping industries, economies, and societies at an unprecedented pace. The rise of Generative AI (GenAI) has added both opportunities and complexities to this transformation. While tools like ChatGPT, which reached 100 million users in just two months, have demonstrated AI’s rapid adoption, they have also underscored the pressing need for responsible governance to mitigate unintended consequences. The conversation around responsible AI has never been more critical.

Regulators and governments worldwide are responding to AI’s challenges and opportunities with urgency. In 2024, the G7 Hiroshima process reinforced the need for international cooperation on AI governance, while the European Union’s AI Act set a precedent by categorising AI risks and implementing strict compliance measures. Meanwhile, the United States has introduced executive orders to ensure AI systems are safe, trustworthy, and aligned with national security interests.

Recent developments in 2025 have further accelerated AI governance efforts. The United Nations' high-level advisory board on AI, established in late 2023, has now published its first set of global guidelines, emphasising transparency, accountability, and human-centric AI design. Additionally, at the World Economic Forum 2025 in Davos, AI governance emerged as a central theme, with industry leaders calling for a harmonised approach to global AI regulations.

India, as the world’s largest democracy and a global technology leader, has a unique opportunity to pioneer responsible AI. The Indian government’s commitment to AI development has been evident in its proactive policies. The India AI Mission, formally launched in 2025 with a budget of Rs 10,000 crore, focuses on building AI infrastructure, including high-performance computing capabilities (10,000+ GPUs) and a national AI innovation platform. These initiatives ensure AI is accessible to startups, researchers, and enterprises, fostering inclusive growth.

Furthermore, India’s approach to AI governance is rooted in collaboration. Industry bodies such as Nasscom have played a pivotal role in advancing ethical AI adoption. The Responsible AI Resource Kit, developed in partnership with global AI experts, now provides Indian enterprises with structured frameworks to implement fairness, transparency, and accountability in AI systems. This initiative aligns with India’s broader vision of making AI not just innovative but also equitable and inclusive.

Responsible AI is not just a theoretical concept—it is about integrating ethics into AI systems from the ground up. Enterprises that prioritise responsible AI are more likely to gain stakeholder trust, enhance brand reputation, and mitigate risks associated with AI deployment.

A real-world example of Responsible AI in action is the financial sector, where AI-driven credit scoring models must be designed to prevent biases against underrepresented demographics. A recent study by McKinsey & Company (2025) found that companies implementing AI fairness checks saw a 25% reduction in algorithmic bias, leading to improved financial inclusion. This demonstrates the tangible benefits of embedding fairness into AI models.

Governments and organisations are also recognising the need for ongoing AI monitoring. In healthcare, AI is being used for medical diagnostics, but ensuring model accuracy across diverse populations remains a challenge. The WHO’s 2025 AI Health Guidelines now mandate rigorous bias testing and transparency measures to ensure AI-driven diagnoses do not disproportionately affect any demographic group.

Now, how can organisations translate Responsible AI principles into action? Here are key steps:

1. Governance & Oversight: Establish AI ethics committees with cross-functional teams to oversee AI strategy and implementation.

2. Continuous Monitoring: AI systems must evolve responsibly. Regular audits and real-time monitoring are essential for detecting and addressing biases or unintended consequences.

3. Stakeholder Engagement: Collaborate with regulators, customers, and civil society to ensure AI aligns with ethical and societal expectations.

4. Training & Awareness: Equip employees with the knowledge to build and deploy AI responsibly, ensuring ethical considerations are embedded at every level.

As we navigate the future of AI, the choices we make today will define the trajectory of this transformative technology. The conversation around Responsible AI is not just about mitigating risks but about unlocking AI’s full potential in a way that benefits everyone. India, with its robust digital ecosystem, diverse population, and commitment to ethical AI governance, is well-positioned to set a global benchmark for Responsible AI.

Technology should be a force for good—one that uplifts, empowers, and includes. As business leaders, policymakers, and technologists, we have a collective responsibility to ensure AI serves humanity’s best interests. The future of AI is not just about innovation; it is about responsible innovation. By embracing this responsibility, we can craft a future where AI enhances lives while upholding ethical and societal values.

(Sindhu Gangadharan, MD, SAP Labs India; Chairperson, Nasscom)