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Paper short abstract:

A different perspective on methodological research in analysing food sovereignty and changing food ecology of the tribal India. Rather than conventional tools of sampling or participatory ethnography, how can AI not just aid in data collection but it can enable reimagining the movement itself?

Paper long abstract:

This paper is interested in exploring the social impact of AI in indigenous food systems in India. Though AI can predict trends and offer customised solutions to problems in a space struggling with shifting traditional hierarchies and evolving technology (such as Indigenous Kondh communities in India), can AI technologies exacerbate social inequalities, particularly in rural communities? The introduction of new stakeholders in this region who use remake and reimagine the spatial and geographical habitat of the Indigenous might disadvantage marginalised populations. However, it can also be a potential tool to build more resilient and sustainable communities. Hence, the paper discusses ways and policies in which ethical considerations can be implemented in the indigenous regions of India.

Exploring the ethical considerations involved in deploying AI in food production, such as data privacy concerns, surveillance, and the potential for bias in AI algorithms used for decision-making in food systems.

It can involve community consultations and the involvement of local stakeholders to ensure technology serves the common good. Through extensive data analysis and field research, our paper focuses on models or tools of AI which can resolve some questions about the food crisis. It discusses how disruptive usage can impact the indigenous food sovereignty movement. and the repercussions and tendencies of creating further hierarchies and how they can be used systematically and ethically to offer unique solutions; it can arise in indigenous regions as these regions are already dealing with the new models of economy and shifting local power dynamics in neo-liberal markets.