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Advanced Management Programme in Public Policy

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Inaugural Session: AMPPP Co’27

The Bharti Institute of Public Policy welcomed the 11th Cohort of the Advanced Management Programme in Public Policy on 14 August 2026 at the Indian School of Business Mohali Campus.

The Cohort brings together professionals from diverse backgrounds and areas of experience across the public policy ecosystem. Dr Aarushi Jain, Director, Bharti Institute of Public Policy, introduced the cohort and highlighted the programme as a shared learning journey that brings together different professional experiences and perspectives.

Ms S Radha Chauhan, Chairperson, Capacity Building Commission, addressed the inauguration and highlighted three priorities shaping the future of governance in India: technology, collaboration and continuous learning. Technology is becoming integral to policy design, delivery and course correction. Collaboration between government, academia and industry is strengthening policy responses to complex challenges. Continuous learning and capacity building are essential to strengthen institutions and enable public professionals to adapt to a rapidly changing governance environment.

The address also highlighted the practical relevance of these capabilities, with technology, cross-sector collaboration and continuous learning already influencing how governance is designed and implemented at the institutional level. The session established key areas of focus for the cohort and highlighted skills and approaches for addressing emerging governance challenges and contributing effectively to public policy and institutional development.

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The Workshop on Generative AI for Policy Professionals, provided participants with a comprehensive introduction to the applications of Generative AI in public policy and administration. Mr Manudev Jain, IRS, Joint Director, DG Systems (CBIC), led sessions on the fundamentals of Generative AI, including Large Language Models, fine-tuning, temperature, hallucinations, and alignment, as well as the use of open-weight models and local AI tools.

Dr Aarushi Jain, Director, Bharti Institute of Public Policy, ISB, conducted sessions on prompt engineering, structured problem framing, hallucination mitigation, verification and cross-tool comparison, followed by a hands-on exercise where participants designed and tested task-specific AI Policy Assistants with appropriate guardrails. The workshop also introduced participants to AI tools for research, knowledge synthesis, content creation and visualisation, including NotebookLM, Gamma, Claude Artefacts, Napkin AI and Elicit AI. Through a simulation game and Deep Research activity, participants explored AI-supported decision-making while recognising the importance of human judgement and oversight. The workshop culminated in a Policy Assistant Showcase, demonstrating practical applications across citizen services, legal assistance, disaster management, healthcare and government workflows, with emphasis on innovation, usefulness, factual accuracy and responsible AI use.

The expert talk by Shri Anirudh Tewari, IAS, Special Chief Secretary-cum-Director General, Mahatma Gandhi State Institute of Public Administration (MGSIPA), Government of Punjab explored leadership, decision-making and team building through insights from the Ramayana, connecting its narratives and leadership dilemmas with contemporary organisational and governance contexts. Viewing the epic as a study of human behaviour, choices and relationships, Shri Tewari discussed themes of commitment, responsibility, adversity, power, loyalty and conflict, highlighting the need for leaders to navigate competing ethical, emotional, organisational and governance considerations. The session emphasised thoughtful management of commitments, strategic decision-making, transparent communication, judicious selection of advisors, and institutional mechanisms for dialogue and conflict resolution. Shri Tewari also underscored the importance of building networks and alliances, recognising talent, fostering trust, empowering teams and avoiding micromanagement, while promoting diversity and inclusive decision-making. The discussion highlighted a central leadership lesson which highlighted that effective leaders must balance competing values, enable collective performance, recognise contributions at every level, share credit for success and take responsibility for setbacks.

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