Page 293 - United Nations Activities on Artificial Intelligence (AI) 2024
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United Nations Activities on Artificial Intelligence (AI)
• Department/Division: UNHCR Division of International Protection (DIP)
• Project Type/Output: Research
• Project Status: Completed
• Project Start Year: 2024 UNHCR
• Project Domain: Forced displacement, Human rights, Asylum Determination Procedures
• Data Source: country of origin information, case management data
• Data publicly available: No
• Technology/Platform: not applicable
• Related Sustainable Development Goals (SDGs): SDG 10 – Reduced Inequality; SDG 16
– Peace, Justice, and Strong Institutions; SDG 17 – Partnership for the Goals
• Partnership(s)/Collaborator(s): University of Amsterdam
• Relevant Links and Multimedia: https:// www .refworld .org/ reference/ pprs/ unhcr/ 2025/
l
en/ 149514
• Lesson Learned:
o Bias and Inaccuracy: AI systems can produce biased or inaccurate results if the training
data is not representative or if the algorithms are not properly calibrated. This can
lead to flawed conclusions and affect the quality of COI research.
o Over-Reliance on AI: There is a risk of over-reliance on AI tools, which may overlook
the nuanced understanding and contextual knowledge that human researchers bring
to COI analysis. AI should complement, not replace, human expertise.
o Data Privacy and Security: Ensuring data privacy and security is a critical challenge.
AI systems must be designed to protect sensitive information and comply with data
protection regulations to prevent misuse or unauthorized access.
o Complexity of Implementation: Integrating AI into COI research involves complex
technical and operational challenges. It requires significant investment in infrastructure,
training, and ongoing maintenance to ensure the systems function effectively.
o Ethical Considerations: The use of AI in COI research raises ethical concerns, including
the potential for misuse of data and the need for transparency in AI decision-making
processes. It is essential to establish ethical guidelines and oversight mechanisms to
address these issues.
o Continuous Monitoring and Adaptation: AI systems require continuous monitoring
and adaptation to remain effective. Regular updates and feedback loops are necessary
to address evolving challenges and improve the accuracy and reliability of AI tools.
• Contact information: Elise Currie-Roberts curriero@ unhcr .org ; Adriana Rojas Arnaud
rojasa@ unhcr .org
Project 6: The Use of AI to strengthen information integrity in digital platforms
• Project Description: UNHCR guide to strengthening information integrity on digital
platform
• Department/Division: UNHCR Division of External Relations (DER)
• Project Type/Output: toolkit
• Project Status: Ongoing
• Project Start Year: 2024
• Project Domain: Forced displacement, Human rights, Misinformation, Information
integrity
• Data Source: social media
• Data publicly available: yes
• Technology/Platform: Web-based application
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