- Digitalized agribusiness, driven by an alliance of Big Tech and Big Agro, threatens traditional land rights and erodes local knowledge.
- Algorithmic systems are institutionalizing "land grabbing" and displacing communities, while technologies like drones are used to intimidate smallholders.
- A human-rights-based approach to AI requires dismantling techno-solutionism and prioritizing decentralized, community-driven governance.
The Myth of Precision Agriculture
- Industry narratives market "precision agriculture" and AI-driven automation as magical cures for environmental degradation and labor shortages caused by monoculture.
- This corporate-led digitalization reduces complex biomes and human-nature relationships into massive data sets, rendering traditional communities invisible to remote operators.
Impacts in the Matopiba Region
- In Brazil’s Matopiba region, the Rural Environmental Registry (CAR) system is used to facilitate illegal land appropriation.
- Automated systems fail to distinguish between ancestral land occupation and recent invasions, allowing large landowners to register public or collective lands as private assets.
- Traditional communities, such as those in Gleba Tauá, face violent displacement as digital documentation legitimizes land grabbing and drones are deployed to spray agrochemicals near homes and water sources.
Paths Toward Rights-Respecting AI
- The design and architecture of AI must be transparent and held under strict public and civil society scrutiny to move beyond the fallacy of algorithmic neutrality.
- Solutions for climate and food security should look toward regenerative and ancestral technologies rather than the extractive logic of Big Tech.
- Future development must be subordinated to socio-environmental justice, emphasizing cooperation and mutual care over the dystopian model of patriarchal, capital-driven domination.