Why the World Needs Inclusive and Human-Centric AI

Speaking at the Bharat Innovates 2026 event in Nice, France, Prime Minister Narendra Modi recently called for the development of “trusted, inclusive and human-centric technologies” and urged innovators to measure success not merely by market valuation but by their impact on humanity. His remarks reflect a growing global concern that as Artificial Intelligence (AI) becomes more powerful and influential, technological progress must remain aligned with human welfare, equity and trust.

Why Inclusivity Matters

  • AI has the potential to transform healthcare, education, agriculture and public service delivery across the world.
  • Without inclusive access, AI could widen existing economic, social and digital inequalities.
  • Developing countries and marginalised communities risk being left behind if AI capabilities remain concentrated in a few nations and corporations.
  • Inclusive AI can help democratise innovation and ensure that technological benefits are shared more broadly.

Why a Human-Centric Approach is Essential

  • Human-centric AI prioritises human dignity, rights and societal well-being over purely commercial objectives.
  • Ethical principles such as fairness, transparency, accountability and privacy must guide AI development.
  • AI systems should support human decision-making rather than replace human judgement in critical sectors.
  • Preventing algorithmic bias and discrimination is essential for maintaining public trust.

Trust: The Foundation of the AI Era

  • Trust is emerging as a strategic requirement in global technology governance.
  • Secure, reliable and transparent AI systems are more likely to gain acceptance among governments, businesses and citizens.
  • International cooperation is needed to establish common standards and norms for responsible AI deployment.

Towards Technology for Humanity

AI should serve as a tool for advancing human welfare and addressing global challenges such as healthcare, climate change, and sustainable development. As technology evolves, the focus must remain on building AI systems that are responsible, inclusive, trustworthy, and aligned with the broader interests of humanity.