Artificial Intelligence Principles for Vulnerable Populations in Humanitarian Contexts

This report examines the ethical, security, and consent-related challenges associated with deploying artificial intelligence (AI) systems for vulnerable populations in humanitarian and disaster response contexts. It highlights that while these technologies are often implemented with positive intentions, they can inadvertently exacerbate the vulnerability of aid recipients through inherent biases, data security risks, and the erosion of meaningful informed consent. The analysis emphasizes that such issues not only negatively impact individuals but can also undermine the broader objectives of humanitarian actors, the UN Charter, and the 2030 Sustainable Development Agenda.

To address these critical concerns, the document proposes a set of guiding principles and actionable recommendations specifically designed for the humanitarian sector. These principles advocate for a cautious approach, suggesting that humanitarian actors should weigh the benefits against potential risks and avoid AI implementation when possible. Furthermore, the report stresses the importance of using contextually-based systems, empowering and including local communities throughout the design and development process, and implementing robust algorithmic auditing systems to ensure greater accountability.

Beyond these core principles, the report provides comprehensive recommendations aimed at aligning business models with ethical AI development. It calls for clear intent in data collection, the establishment of strict record retention schedules, and ensures that the receipt of essential aid is never made contingent upon an individual’s consent to data collection. By fostering greater awareness and reflection, these insights aim to help humanitarian organizations navigate the digital landscape more responsibly, ultimately ensuring that technological interventions prioritize the safety and dignity of the communities they are meant to serve.