Examine the role of international standard-setting bodies such as ITU in governing AI for food security. How can India use such platforms for Global South leadership?

Standards decide whether a soil sensor, a drone and an AI advisory app can work with each other. The UN Global Initiative on AI for Agri-Food Systems (GI-AI4FS) is coordinated by ITU together with FAO, IFAD and WFP. It held its second meeting alongside IMC 2026 in New Delhi [1]. Global rules for farm AI are therefore already being written, and India has a stake in what they say.

Role of standard-setting bodies

• Interoperability: ITU's Telecommunication Standardization Bureau (TSB) helped shape the meeting's agenda. Common standards let sensors, weather stations, drones, satellites and AI analytics share data [1].
• Trustworthy-AI norms: GI-AI4FS promotes responsible, farmer-centric AI [1]. FAO warns that AI used without regard to existing inequality may deepen it, which is the "No Farmer Left Behind" test [2].
• Institutional convergence: It brings telecom (ITU) and food agencies (FAO, IFAD, WFP) together, which is rare in the UN system [1].
• Agenda-setting: During Geneva's 2026 Triple Week (WSIS Forum, AI for Good, the first Global Dialogue on AI Governance), FAO pushed agrifood onto the AI agenda [2].

Limitations

• Voluntary, with no binding rules: The second meeting only set up Working Groups, Terms of Reference and work streams [1].
• Local gaps remain: Standards cannot close the rural–urban digital divide [3]. Norms designed only for easy data sharing could also weaken consent rules at home.

How India can lead for the Global South

• Offer its DPI as a reference design: AgriStack's Farmer Registry is federated, so each state owns its farmers' data. Sharing is consent-based and follows the DPDP Act, 2023 [4]. India can push to have farmer data rights written into the Working Groups' Terms of Reference.
• Push for smallholder-first standards: cheap devices, local languages and apps that work on weak networks. Bharat-VISTAAR gives multilingual advisories using AgriStack, ICAR and IMD data [5].
• Use its convening power: Inter-ministry hosting by TEC (DoT) and ICAR, plus the 8–9 Oct hackathon, shows a model others can copy [1].
• Prove it at home first: Farmer IDs, over 10.31 crore so far, are linked to land records [4]. India should measure how many tenant and landless farmers this leaves out.

Standard-setting bodies shape how farm AI connects, and on whose terms. However, they are voluntary and cannot fix gaps on the ground. India should take its federated, consent-based model into these Working Groups and make sure small farmers reach the network. That would make India a Global South rule-maker rather than a rule-taker, in line with SDG 2 (Zero Hunger).

(~400 words — over the 250–350 range; needs trimming by about 60 words)