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Pop Quiz! Guess the Number of Responsible AI and Data Guides in Humanitarian Aid

By Wayan Vota on December 13, 2024

ai guidance frameworks

A recent conference session on Responsible AI called for the creation of an ethical data use framework to guide international development practitioners as they adopted artificial intelligence solutions.

I am not sure we need more digital technology principles.

53 Responsible AI and Ethical Data Use Guides

A quick search found 53 published documents with guidance on the ethical and responsible use of AI, data, or digital technology in humanitarian contexts. Many of these initiatives are relatively recent, reflecting the growing awareness of data privacy and AI transparency.

  1. AI for Good Foundation’s Ethics of AI in Humanitarian Action
  2. CARE International Digital Safeguarding Policy
  3. Cash Learning Partnership (CaLP) Data Responsibility Toolkit
  4. Donor Principles for Human Rights in the Digital Age
  5. DSEG Framework for the Ethical Use of Advanced Data Science
  6. Engine Room’s Responsible Data Handbook
  7. GAHI Principles for Ethical Humanitarian Innovation
  8. GiveDirectly’s Responsible AI/ML Framework
  9. Global Index on Responsible AI
  10. GSMA Guidelines on Privacy in the Use of Mobile Phone Data
  11. Harvard Humanitarian Initiative’s Signal Code
  12. HOT Data Ethics Policy
  13. Humanitarian Data Exchange (HDX) Data Responsibility Guidelines
  14. Humanitarian DSEG Peer Review Framework
  15. IASC Operational Guidance on Data Responsibility in Humanitarian Action
  16. ICRC Handbook on Data Protection in Humanitarian Action
  17. ICRC Rules on Personal Data Protection
  18. IEEE Ethically Aligned Design
  19. IFRC Data Playbook
  20. IFRC Data Protection Policy
  21. IOM Data Protection Manual
  22. ISO/IEC 42001 standard on AI management
  23. Making AI Work for International Development
  24. Managing Machine Learning Projects in International Development
  25. Mercy Corps Responsible Data Toolkit
  26. New Humanitarian’s call for AI guardrails in humanitarian settings
  27. NetHope Data Protection Starter Kit
  28. OECD AI Principles
  29. OCHA Information Management Toolbox
  30. OCHA’s Data Responsibility Guidelines
  31. Oxfam Responsible Data Management Training Pack
  32. Oxfam Responsible Program Data Policy
  33. Principles for Digital Development
  34. Responsible Data for Children Principles
  35. Save the Children’s Data Protection Policy
  36. Signal Code: Ethical Obligations for Humanitarian Information Activities
  37. Sphere Handbook
  38. UN Global Pulse Privacy and Data Protection Principles
  39. UN Global Pulse Risks, Harms and Benefits Assessment Tool
  40. UN OCHA Centre for Humanitarian Data’s Data Responsibility Guidelines
  41. UNDP Digital Strategy
  42. UNDP Policy on Personal Data Protection and Privacy
  43. UNHCR Data Transformation Strategy
  44. UNHCR Policy on the Protection of Personal Data of Persons of Concern
  45. UNICEF Policy on Personal Data Protection
  46. UNOCHA’s Information Management Guidance – Sudden Onset Emergencies
  47. USAID AI in Global Development Playbook
  48. USAID Artificial Intelligence Action Plan
  49. USAID Considerations for Using Data Responsibly
  50. USAID Digital Strategy
  51. WFP Guide to Personal Data Protection and Privacy
  52. World Food Programme Guide to Personal Data Protection and Privacy
  53. World Vision’s Information Security and Data Protection Policy
  54. ???

I am certain that there are more than 53 guidelines on the ethical and responsible use of AI, data, or digital technology in international development programming. Many more.

Please tell us the documents we are missing in the comments and we’ll update this list. Help us reach 75 total guides!

Why Publish Ethical AI or Data Use Guides?

International development organizations like USAID publish guidance on the ethical and responsible use of AI, data, and digital technologies in humanitarian contexts to ensure that their interventions do no harm, respect local sovereignty, and enhance accountability, including:

  1. Mitigating Harm and Ensuring Safety: Humanitarian work often involves vulnerable populations who may be less equipped to protect themselves from potential abuses or unintended consequences of digital technology use. AI and data-driven tools, for example, can introduce risks such as data misuse, privacy breaches, and biased decision-making. Documents like USAID’s Digital Strategy framework and the OECD AI Principles emphasize ethical guardrails to protect these communities from harm and discrimination.
  2. Promoting Transparency and Trust: Trust is foundational in humanitarian contexts where agencies must demonstrate their commitment to the well-being of affected populations. Clear guidance on digital technology use promotes transparency in how data and AI are deployed, fostering trust among communities, local governments, and donors. For instance, the UN’s High-Level Panel on Digital Cooperation underlines the importance of ethical transparency to maintain public confidence in digital solutions.
  3. Respecting Local Agency and Autonomy: Ethical guidelines in these documents often emphasize respecting local sovereignty and decision-making capacity. They advocate for a “do no digital harm” approach, which includes prioritizing consent, respecting local data governance norms, and ensuring that communities can retain control over their data. USAID’s work in digital democracy initiatives, for instance, aims to prioritize the voices and rights of local communities.
  4. Ensuring Fairness and Inclusivity: AI and data can exacerbate inequalities if not carefully managed. Guidelines on responsible technology use in humanitarian contexts highlight the need to design tools that are inclusive and accessible, especially to marginalized groups. These documents often stress the importance of inclusive data practices, ensuring AI and digital tools account for diverse socio-economic contexts, as noted in the Responsible Data for Children (RD4C) principles.
  5. Alignment with International Standards: Guidance documents also help align practices with international standards like the OECD’s AI Principles and the EU’s General Data Protection Regulation (GDPR), which have become benchmarks for ethical and responsible technology use worldwide. Such alignment ensures that international development organizations maintain consistency with global best practices and legal frameworks.

International development organizations must harness digital technologies to improve service delivery while respecting the dignity, safety, and autonomy of the communities they serve.

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Written by
Wayan Vota co-founded ICTworks. He also co-founded Technology Salon, MERL Tech, ICTforAg, ICT4Djobs, ICT4Drinks, JadedAid, Kurante, OLPC News and a few other things. Opinions expressed here are his own and do not reflect the position of his employer, any of its entities, or any ICTWorks sponsor.
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