IndiaAI Case Studies: Impact Summit

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Lisa Ernst · 03.01.2026 · Technology · 5 min

With the IndiaAI Impact Summit 2026, India is positioning itself as a key player in global AI governance. Instead of abstract rules, the country is focusing on curated case studies to demonstrate "Responsible & Inclusive AI" in practice. This approach aims to influence standards through concrete examples rather than exporting them as legal texts.

India's AI Strategy

The India – AI Impact Summit 2026 will take place from February 19 to 20, 2026, in New Delhi. The venue will be the Bharat Mandapam (Pragati Maidan), , a convention center deliberately designed for major international events. The Indian government's motto here is "People, Planet, Progress," aiming to establish AI as a topic of development and governance, not just an industry hype. This is underscored by the emphasis that AI should not be concentrated in a few regions and companies but must become more broadly accessible (pib.gov.in).

India's strategy includes the creation of case studies, so-called Casebooks, which are intended to show how "Responsible & Inclusive AI" is implemented in real systems. These Casebooks serve as a "proof format" that implicitly defines standards for data practices, impact assessment, and governance. The Economic Times reports that India will present six such compendiums in collaboration with organizations like the WHO, the International Energy Agency (IEA), UN Women, and the World Bank.

The national platform INDIAai underscores India's long-term commitment to AI. It serves as a central hub for content, initiatives, and the development of an AI ecosystem, going beyond the mere hosting of the summit and signaling a sustained interest in knowledge and project channels. (negd.gov.in).

A speaker presents India's ambitious AI strategy at the AI Impact Summit, underlining the national importance of the initiative.

Source: digitalindia.gov.in

A speaker presents India's ambitious AI strategy at the AI Impact Summit, underlining the national importance of the initiative.

Focus of Case Studies

The case studies focus on various sectors to demonstrate the broad applicability of AI while anchoring the principles of responsible and inclusive AI. In the health sector, there is an official Call für Beiträge for a "Casebook on AI Health Use Cases Across the Global South," aiming to showcase scalable and effective applications (impact.indiaai.gov.in). This aligns with the WHO-Guidance zu „Ethics and governance of artificial intelligence for health“, , which places ethics and human rights at its core.

Similarly, in the energy sector, a offizieller Aufruf has been issued for the submission of abstracts for an IEA-supported Casebook on the Real-World Impact of AI in the energy sector. The publication of this Casebook is explicitly planned for the summit period in February 2026 (impact.indiaai.gov.in).

In the education sector, a Casebook/Compendium zum „Real-World Impact of AI in Education“ is also being prepared, covering specific fields such as foundational learning, support for teachers, and assistive technologies. Agriculture is another focus area, with a Compendium zu KI in der Landwirtschaft, supported by the World Bank, focusing on measurable improvements such as productivity and resilience.

Particular attention is given to the gender strand, with UN Women acting as a partner. A Call für Beiträge aims for a compendium on AI solutions that make a measurable contribution to gender equality, with the goal of presenting the "Top 15 AI Solutions from the Global South" (impact.indiaai.gov.in). This corresponds with the UNESCO-Rahmen zur KI-Ethik, , which emphasizes inclusion, non-discrimination, and responsible governance.

The poster for the India-AI Impact Summit 2026 provides insights into the planned events, exhibitions, and research symposia that highlight the focus areas of the AI case studies.

Source: indianembassynetherlands.gov.in

The poster for the India-AI Impact Summit 2026 provides insights into the planned events, exhibitions, and research symposia that highlight the focus areas of the AI case studies.

International Cooperation

India is using the summit to foster broad international cooperation. Around 300 pre-summit events are planned, dozens of which have already taken place in various countries (pib.gov.in). This creates a process and not just a one-off event, thereby creating entry points for international participation before a final declaration is formulated.

An important governance anchor is the involvement of GPAI (Global Partnership on Artificial Intelligence). The Economic Times reports that a meeting of the GPAI Ministerial Council is scheduled for February 20, 2026. GPAI, described by the OECD als internationale Partnerschaft für „human-centric“ und „trustworthy“ AI , deliberately links the Indian stage to existing governance networks.

The collaboration with organizations such as the WHO, IEA, UN Women, and the World Bank in creating the Casebooks demonstrates India's endeavor to embed its AI initiatives in a global context and to benefit from the expertise of these institutions. This allows India to contribute its perspective on responsible AI to international debates while simultaneously learning from global standards and best practices.

High-ranking representatives from politics and business at the Global INDIAai Summit, a sign of international cooperation and exchange in the field of AI.

Source: indiaai.gov.in

High-ranking representatives from politics and business at the Global INDIAai Summit, a sign of international cooperation and exchange in the field of AI.

Challenges and Measurability

India's Casebook strategy is an attempt to influence global AI policymaking debates (economictimes.com). However, the success of this approach depends on whether the case studies also transparently address the challenges and problems of AI implementation. Issues such as model drift, bias findings, security incidents, operating costs, and rollback processes are crucial for the credibility of "Responsible & Inclusive AI."

The WHO-Guidance emphasizes that ethics and human rights must be central to the design, deployment, and use of AI. This is the benchmark against which the health casebooks will be measured. The NIST AI Risk Management Framework explicitly describes the benefit of a risk framework as lifecycle work, not a one-time check. This implies continuous monitoring and adaptation of AI systems.

European regulation, particularly the EU AI Act (Verordnung (EU) 2024/1689), , represents an important reference framework that global AI initiatives must orient themselves towards. India's Casebook strategy can be understood as an indirect way to influence standards without directly engaging in regulatory disputes. However, if the published case studies only present success stories and omit difficulties, the showcase could be perceived as geopolitical PR and lose credibility.

The measurability of "Impact" is crucial. When AI systems allocate access to education, benefits, credit, or health priorities, it becomes a question of power. Such power issues require verifiable documentation and not just good intentions. The Casebooks must therefore demonstrate how robustness, error handling, and governance are managed in practice.

Source: YouTube

Source: YouTube

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