CIVICUS Interview — AI Biases & Transparency

Featured in CIVICUS's interview series on AI's potential and risks for civil society organisations. The interview — titled "AI: 'The biggest challenges are the biases and lack of transparency of algorithms'" — covered the dual promise and peril of AI in humanitarian contexts.

Key points discussed included how algorithmic bias can entrench existing inequalities when AI systems are trained on non-representative data; the need for transparency and explainability in AI decision-making; HOT's approach to building ethical AI through open-source models, community ownership, and human-in-the-loop validation; and practical recommendations for civil society organisations looking to responsibly adopt AI tools.