Governing AI: Shaping an Ethical Future

Can We Govern AI Before It Governs Us?

In a landmark step toward shaping the ethical future of artificial intelligence (AI), the A4G Impact Collaborative launched the Responsible AI—Governance & Ethics Symposium at Delhi Technological University on April 16, 2025. This initiative expands A4G’s mission to ensure that AI systems remain aligned with the highest human values, advancing compassion, equity, and sustainability.

Leadership and Vision

The symposium was spearheaded by Nitin Dhawan, co-founder of the A4G Impact Collaborative. As both architect and moderator, Dhawan emphasized the necessity for AI to remain governed by and aligned with the best of what makes us human. “This symposium represents a critical first step in developing governance frameworks that ensure AI serves as a force for collective flourishing rather than deepening existing divides,” he stated.

India’s Unique Position

Anil Antony, National Secretary & National Spokesperson of the Bhartiya Janata Party (BJP), highlighted India’s unique opportunity in the global AI landscape. He remarked, “India has a historic opportunity to create AI with Indian characteristics, much as we did with UPI.” By integrating cultural values of inclusivity and spiritual wisdom, India can model AI governance that balances innovation with human wellbeing.

Coalition of Global Leaders

The symposium convened a diverse coalition of global leaders in AI ethics, governance, and policy, including:

  • Anil Antony – National Secretary & National Spokesperson, BJP
  • Dr. Vivienne Ming – Theoretical Neuroscientist & AI Visionary
  • Prof. David Danks – Chair of Data Science & Philosophy, University of California
  • Nandini Singh – Executive Director, IBM India & South Asia – Public Sector
  • Dr. Nandini Chatterjee Singh – Senior Project Officer, UNESCO
  • Dr. Ramanand – Founder-Director, Center for Policy Research and Governance (CPRG)
  • Sharad Arora – Steering Committee Member, AI for Good, Geneva
  • Dr. Shakti Goel – Chief Architect & Data Scientist, Yatra.com

Key Highlights of the Symposium

Key highlights from the event included:

  • Distinguished Panels: The morning session focused on “Human Values and Legal Frameworks for AI Integration,” while the afternoon panel addressed “AI’s Impact and Societal Governance Models.”
  • Breakthrough Insights: Panelist Prof. Ajit Sinha described AI as potentially enabling “capitalism without labor,” suggesting a fundamental restructuring of economic frameworks. Dr. Shakti Goel emphasized the need for culturally rooted ethical frameworks to underpin global AI systems.
  • Cross-Sector Collaboration: The event united government officials, industry leaders, academics, and civil society representatives, recognizing that AI governance requires unprecedented collaboration across sectors.

Commitment to Responsible AI Development

Dr. Prateek Sharma, Vice Chancellor of Delhi Technological University, expressed pride in hosting an event that aligns with the university’s commitment to technological innovation guided by human values. “The collaboration between academia, industry, and civil society exemplified today is exactly the model needed for responsible AI development,” he noted.

In conclusion, Nitin Dhawan remarked, “AI is no longer just a technological issue — it’s a societal choice. Our challenge is to embed governance, ethics, empathy, and inclusion into the very code that will write our future.”

About A4G Impact Collaborative

The A4G Impact Collaborative unites global experts, institutions, policymakers, and donors to co-create open-source solutions in three key areas: AI for Sustainability, AI for Mental Well-Being, and AI for Inclusive Governance. The recent addition of AI Governance & Ethics directly addresses the critical global need for frameworks that govern AI responsibly across societies and borders.

About Delhi Technological University

Delhi Technological University is a premier technological institution committed to excellence in education, research, and innovation, focusing on human-centered technological development.

More Insights

Building Trust in AI: Strategies for a Secure Future

The Digital Trust Summit 2025 highlighted the urgent need for organizations to embed trust, fairness, and transparency into AI systems from the outset. As AI continues to evolve, strong governance and...

Rethinking Cloud Governance for AI Innovation

As organizations embrace AI innovations, they often overlook the need for updated cloud governance models that can keep pace with rapid advancements. Effective governance should be proactive and...

AI Governance: A Guide for Board Leaders

The Confederation of Indian Industry (CII) has released a guidebook aimed at helping company boards responsibly adopt and govern Artificial Intelligence (AI) technologies. The publication emphasizes...

Harnessing AI for Secure DevSecOps in a Zero-Trust Environment

The article discusses the implications of AI-powered automation in DevSecOps, highlighting the balance between efficiency and the risks associated with reliance on AI in security practices. It...

Establishing India’s First Centre for AI, Law & Regulation

Cyril Amarchand Mangaldas, Cyril Shroff, and O.P. Jindal Global University have announced the establishment of the Cyril Shroff Centre for AI, Law & Regulation, the first dedicated centre in India...

Revolutionizing AI Governance for Local Agencies with a Free Policy Tool

Darwin has launched its AI Policy Wizard, a free and interactive tool designed to assist local governments and public agencies in creating customized AI policies. The tool simplifies the process by...

Building Trust in AI Through Effective Governance

Ulla Coester emphasizes the importance of adaptable governance in building trust in AI, highlighting that unclear threats complicate global confidence in the technology. She advocates for...

Building Trustworthy AI Through Cultural Engagement

This report emphasizes the importance of inclusive AI governance to ensure diverse voices, especially from the Global South, are involved in AI access and development decisions. It highlights the...

AI Compliance: Copyright Challenges in the EU AI Act

The EU AI Act emphasizes the importance of copyright compliance for generative AI models, particularly regarding the use of vast datasets for training. It requires general-purpose AI providers to...