2024-10-27-兰德-人道主义技术采用案例研究-生物识别（英）_11页_245kb

Humanitarian Technology Adoption Case Study: Biometrics Summary

The case study analyzes the adoption and challenges of biometric technologies in humanitarian contexts, providing historical perspectives, key factors, and lessons for responsible use. It is based on an online workshop involving humanitarians with direct experience.

Key Findings

History of Biometrics

• Notable Events: Chronological overview of events shaping biometrics in humanitarian aid includes:
  • Oxfam's 2015 moratorium due to ethical concerns and reentry with a 2021 policy.
  • UNHCR's early use for registration, evolving into pilot programs for refugees (e.g., Rohingya).
  • GDPR and UN resolutions reinforcing data protection and biometric use commitments.
  • High-profile risks, such as the Taliban accessing US military's biometric data post-withdrawal in Afghanistan, fueling mistrust.
• Ethical Concerns: Historical events highlight trade-offs between efficiency and individual risks, with lessons emphasizing the need for long-term risk assessment and transparency.

Key Factors for Responsible Adoption

Organizational Funding and Values

• Early deployment driven by fraud reduction; however, policies like Oxfam's moratorium show unintended consequences, necessitating careful trade-offs between benefits and risks.
• Organizational ethics, such as ISO standards and independent audits, are important but may overlook local contexts; universal bans limit innovation and partnerships.

Governance

• Governance evolved toward "ex-ante" risk mitigation through regulations and assessments, but long-term risks (e.g., data misuse) were historically underestimated.
• Post-deployment risks, such as data breaches, require formalized approaches like human rights-based diligence and sector-wide standards to address evolving geopolitics.

Local Capacity

• Local partnerships and capacity building are critical for sustainable deployment, reducing mistrust and enabling community agency.
• Challenges include forced consent and integration with AI, which may obscure informed decisions; development must consider historical power dynamics to avoid "techno-colonialism."

Lessons for Responsible Adoption

1. Funding and Accountability: Organizations must balance universal policies with local needs and risks, ensuring transparency and avoiding over-reliance on standardized approaches.
2. Governance and Risk Assessment: Incorporate long-term geopolitical changes and post-deployment risks into evaluations, using frameworks like UN guidelines for biometrics.
3. Local Capacity and Community Engagement: Prioritize holistic frameworks that empower beneficiaries and build trust, avoiding top-down implementations that ignore local contexts.

Concluding Thoughts

Biometrics can enhance aid delivery and efficiency but must address ethical, governance, and capacity challenges to ensure user empowerment and avoid harm, particularly in fragile aid environments.