Future Farming in India A Playbook for Scaling Artificial Intelligence in Agriculture 2025

The success of the IMPACT AI framework depends on a set of guiding principles that bind all stakeholders in the AI ecosystem to ensure responsible development and deployment of AI technologies. The key principles are: 1. Prioritizing public interest and safety: Public welfare must take precedence in all AI-related decisions. The do no harm principle should guide design and development choices. 2. Adopting a risk-based regulatory approach: Regulations should be designed based on risk levels, with self-regulation as the standard except in sensitive areas where stricter oversight is required.3. Facilitating the AI ecosystem: Governments will act as enablers by enacting supportive legislation, implementing policies, providing data access and ensuring a level playing field for all participants. 4. Creating catalysts for AI adoption: Governments will drive the adoption of AI by executing flagship projects in critical social sectors and implementing AI-powered social protection initiatives for public benefit. Additionally, a transparent, rigorous and effective testing and validation system must be developed to establish trust and promote the growth of a credible AI marketplace.3.3 Principles of the IMPACT AI framework The IMPACT AI model is a multistakeholder initiative, with three distinguishable streams: enable, create and deliver.Each will have a principal actor (the de facto leader) and one or more supporting actors. The three streams will run in parallel, although there are dependencies between them, as the following discussion shows.3.4 Pillars of the framework Future Farming in India 30