Chadian environmental activist Hindou Oumarou: ‘AI governance must respect Indigenous peoples’

August 14, 2026

Chadian environmental activist Hindou Oumarou Ibrahim argues that African nations developing artificial intelligence strategies must address environmental impacts and Indigenous rights alongside typical policy concerns like safety and employment. She contends that current AI governance frameworks inadequately protect collectively-held Indigenous knowledge because they focus on individual data privacy rather than community ownership. Ibrahim advocates for requiring environmental assessments of AI infrastructure, ensuring Indigenous peoples participate as decision-makers through free, prior and informed consent, and developing community-controlled AI capacity tailored to African needs.

Who is affected

Indigenous peoples and communities across Africa, Chad, the Amazon, the Arctic (specifically Sámi and Inuit communities)
Association for Indigenous Women and Peoples of Chad
Herders in Chad whose migration routes are impacted
Local African research institutions
Communities whose territories face pressure from mineral extraction, energy and infrastructure sectors
Indigenous communities in biodiversity-rich areas

What action is being taken

The UN held its first-ever Global Dialogue on AI Governance in Geneva, Switzerland in July
African governments are developing national artificial intelligence strategies
In Chad, participatory mapping, satellite data and predictive AI tools are being used to anticipate drought and protect herders' migration routes
In the Amazon, Indigenous communities are working with NGOs and researchers using AI-supported satellite monitoring to detect illegal deforestation and mining
In the Arctic, Sámi and Inuit communities are integrating traditional knowledge with predictive models to monitor sea ice, wildlife movements and extractive industry impacts

Why it matters

This matters because conventional AI governance frameworks built around Western, human-centered risk models are inadequately protecting ecosystems and Indigenous rights that underpin economies and societies. Without ecological safeguards and Indigenous participation, AI expansion could accelerate environmental destruction through increased mineral extraction, energy consumption, water use and infrastructure development, particularly in Indigenous territories and biodiversity-rich areas. The failure to recognize collectively-held Indigenous knowledge in data protection systems means communities risk losing control over their cultural heritage, language, traditional knowledge and territorial information. Ensuring Indigenous participation as decision-makers rather than mere consultees is essential for responsible AI governance that protects both natural systems and the communities who depend on them.

What's next

African governments should:
Require environmental and social impact assessments for AI infrastructure
Make Indigenous peoples formal participants in AI governance
Protect collective rights over cultural, linguistic and environmental data
Invest in African and community-controlled AI capacity, including local research institutions, Indigenous innovation centers, and African language and culture models
World leaders should:
Ensure no AI system, policy or infrastructure project affecting Indigenous peoples proceeds without their free, prior and informed consent across the entire AI value chain
Embed Indigenous participation and data sovereignty directly into national and international AI governance frameworks
Governments and companies should:
Recognize that Indigenous data is often collective and develop appropriate consultation frameworks
Audit AI models for linguistic and cultural bias
Create mechanisms allowing communities to challenge or remove inaccurate or harmful representations

Read full article from source: Global Voices