➡️ Article in The Conversation U.S. : "Beyond Checking a Box: How a Social Licence can Help Communities Benefit from Data Reuse and AI" (✍️ with Peter Martey Addo, PhD). The promise of AI to transform key sectors like 🌾 agriculture, 🏥 healthcare, and 📚 education in developing countries is immense. But unlocking these benefits responsibly requires rethinking how we approach data reuse. 🔑 Key Challenges: ⚖️ Data Asymmetries and Power Imbalances: Between Global North and South, and even within nations. 🛑 Limitations of Consent: Traditional check-the-box approaches overlook community values and collective needs. ✨ Different Approach: Social Licence 🌟 What is it? A community-driven approach ensuring data reuse aligns with collective preferences, values and interests. 🤝 How does it help? Provides agency and balances risks and opportunities (e.g., data for public good). 🚀 Steps to Implementation: 1️⃣ Community Engagement: Through innovation in participation (e.g. "data assemblies") that engage communities, especially the marginalized. 2️⃣ Legal & Policy Innovation: Translating collective decisions into enforceable mechanisms. 3️⃣ Institutional Innovation: Empowering roles like Data Stewards to oversee responsible data sharing for public and private good. 🔍 Learn more: https://lnkd.in/e8UNxaPQ #data #ai #artificialintelligence #development #sociallicense #data4good #datagovernance #datastewardship
How Data Empowers Marginalized Communities
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Summary
Data has the potential to empower marginalized communities by amplifying their voices, addressing inequities, and driving impactful change. By centering lived experiences and employing community-driven approaches, data can be a force for inclusivity, advocacy, and equitable solutions.
- Promote community input: Collaboratively design tools and solutions with the involvement of marginalized groups to ensure their challenges and priorities are addressed in meaningful ways.
- Use data for advocacy: Collect and analyze data to highlight systemic injustices, support policy changes, and create opportunities for underrepresented communities.
- Adopt ethical data practices: Implement community-driven approaches like social licenses to align data usage with shared values and ensure the fair distribution of benefits.
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How can data support the #LandBack movement? 1. The use of data to record historical land theft can potentially lead to successful advocacy for the restitution and reparations of stolen Indigenous lands, aiding in legal challenges and treaty negotiations. 2. The implementation of data-driven approaches could significantly improve the management and protection of lands, preserving traditional knowledge and promoting sustainable practices. 3. Support for Indigenous-led conservation initiatives through data use could enhance Indigenous rights and biodiversity, contributing to ecosystem monitoring and sustainable planning. 4. Data-driven programs have the potential to reconnect Indigenous youth with their heritage, fostering a sense of cultural pride and facilitating the transfer of knowledge. 5. Utilizing data analytics could pave the way for unique economic strategies for Indigenous communities, creating employment opportunities and reinforcing sovereignty over ancestral lands. Join us as we continue to work towards realizing the vision of Indigenous land sovereignty and self-determination. #IndigenousRights #DataSovereignty #Decolonization