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AI and Humanitarian Efforts: Aiding or Undermining Human Rights?

Artificial Intelligence (AI) is increasingly shaping the landscape of humanitarian efforts, offering powerful tools for disaster response, refugee assistance, and various interventions aimed at alleviating human suffering. While AI promises to enhance efficiency and efficacy, its integration also raises significant concerns regarding privacy, security, and the protection of vulnerable populations. This article explores the dual role of AI in humanitarian efforts, evaluating its potential benefits and drawbacks to provide a nuanced understanding of its impact on human rights (Ferres & Weeks, 2024).

The Role of AI in Humanitarian Interventions

Disaster Response

AI has revolutionized disaster response by providing timely and accurate information that can save lives and reduce damage. For instance, AI-powered algorithms analyze satellite imagery and social media posts to quickly identify disaster-affected areas, allowing emergency services to prioritize their responses. Machine learning models predict the paths of hurricanes or the spread of wildfires, enabling better preparedness and resource allocation (Satishkumar & Sivaraja, 2024).

In the aftermath of disasters, AI facilitates efficient distribution of aid. Drones equipped with AI can assess damage and deliver supplies to hard-to-reach areas. AI-driven platforms also streamline the management of logistics and supply chains, ensuring that relief efforts are coordinated and effective (Ferres & Weeks, 2024).

Refugee Assistance

The global refugee crisis has created an urgent need for innovative solutions, and AI is playing a pivotal role. AI-powered chatbots and mobile applications provide refugees with critical information about legal rights, asylum procedures, and available services in their native languages. These tools help refugees navigate complex bureaucratic systems and access essential resources (Panic & Arthur, 2024).

AI also aids in refugee registration and identification. Biometric systems using facial recognition or fingerprint scanning ensure accurate record-keeping and reduce fraud. Furthermore, AI-driven data analysis helps humanitarian organizations understand refugee movements and needs, allowing for better planning and resource allocation (Temperman, 2023).

Humanitarian Interventions

Beyond disaster response and refugee assistance, AI supports broader humanitarian interventions. Predictive analytics identify regions at high risk of famine, disease outbreaks, or conflict, enabling preemptive measures. AI systems analyze vast amounts of data to uncover patterns and trends, guiding policy decisions and interventions (Ferres & Weeks, 2024).

For example, in healthcare, AI-driven diagnostic tools improve the accuracy of disease detection and treatment in underserved areas. AI models predict the spread of infectious diseases, facilitating timely interventions. In conflict zones, AI analyzes social media and communication channels to detect early signs of violence, aiding peacekeeping efforts (Temperman, 2023).

Pros of AI in Humanitarian Efforts

Efficiency and Speed

One of the most significant advantages of AI is its ability to process vast amounts of data quickly and accurately. This capability is crucial in emergency situations where time is of the essence. AI algorithms can sift through satellite images, social media posts, and other data sources to identify areas in need, accelerating the response time and potentially saving lives (Ferres & Weeks, 2024).

Resource Optimization

AI enhances the efficiency of resource allocation. By analyzing data on affected populations, available supplies, and logistical constraints, AI systems optimize the distribution of aid. This reduces waste and ensures that resources reach those who need them most (Ferres & Weeks, 2024).

Predictive Capabilities

AI's predictive analytics are invaluable for anticipating and mitigating crises. Predictive models forecast natural disasters, disease outbreaks, and conflict, allowing for proactive measures. Early warnings and preemptive actions can significantly reduce the impact of humanitarian crises (Panic & Arthur, 2024).

Enhanced Decision-Making

AI supports decision-makers by providing data-driven insights. Humanitarian organizations can leverage AI to understand complex situations, identify priorities, and make informed decisions. This leads to more effective interventions and better outcomes for affected populations (Panic & Arthur, 2024).

Cons of AI in Humanitarian Efforts

Privacy Concerns

The use of AI in humanitarian efforts often involves collecting and analyzing personal data, raising significant privacy concerns. Refugees and disaster survivors are vulnerable populations, and their data can be misused or inadequately protected. Biometric systems, while useful for identification, pose risks if the data falls into the wrong hands or is used for unintended purposes (Munshi, 2023).

Security Risks

AI systems are susceptible to cyberattacks and manipulation. Hackers could potentially disrupt disaster response operations, tamper with aid distribution, or steal sensitive data. The reliance on AI also introduces vulnerabilities, as technical failures or malfunctions could compromise critical humanitarian efforts (Grigsby, 2021).

Bias and Discrimination

AI algorithms can perpetuate existing biases and discrimination if not properly designed and tested. In humanitarian contexts, biased AI systems might prioritize certain groups over others, leading to unequal access to aid and resources. Ensuring fairness and equity in AI applications is a significant challenge (McQuillan, 2022).

Dependence on Technology

Over-reliance on AI can lead to a diminished role for human judgment and expertise. Humanitarian work often requires empathy, cultural understanding, and ethical considerations that AI cannot replicate. A balanced approach is necessary to ensure that AI complements rather than replaces human efforts (Munshi, 2023).

Balancing Benefits and Risks

To harness the benefits of AI while mitigating its risks, several measures should be implemented:

Ethical Frameworks

Developing and adhering to ethical frameworks is essential for the responsible use of AI in humanitarian efforts. These frameworks should emphasize principles such as privacy, fairness, transparency, and accountability. Ethical guidelines help ensure that AI applications respect human rights and do not harm vulnerable populations (McQuillan, 2022).

Robust Data Protection

Protecting the data of vulnerable populations is paramount. Humanitarian organizations must implement robust data protection measures, including encryption, access controls, and anonymization techniques. Clear policies on data collection, use, and sharing should be established to safeguard individuals' privacy (Munshi, 2023).

Bias Mitigation

Addressing bias in AI systems requires diverse and representative data, as well as rigorous testing and validation. Humanitarian organizations should collaborate with AI developers to identify and eliminate biases in algorithms. Regular audits and impact assessments can help ensure that AI applications are fair and equitable (Munshi, 2023).

Human-AI Collaboration

AI should be seen as a tool that enhances human capabilities, not a replacement for human judgment. Humanitarian efforts should prioritize human-AI collaboration, leveraging AI for data analysis and decision support while maintaining a central role for human expertise. Training and capacity-building for humanitarian workers on AI tools and their ethical use are crucial (McQuillan, 2022).


AI holds immense potential to transform humanitarian efforts, offering tools that can enhance efficiency, predict crises, and improve resource allocation. However, its integration must be approached with caution, considering the significant risks related to privacy, security, and bias. By developing ethical frameworks, implementing robust data protection measures, addressing biases, and fostering human-AI collaboration, the humanitarian sector can harness the benefits of AI while safeguarding human rights.

The future of AI in humanitarian efforts hinges on our ability to balance technological innovation with ethical considerations. As we navigate this complex landscape, the primary goal should remain clear: to use AI as a force for good, ensuring that it aids rather than undermines the rights and dignity of those in need.


Ferres, J. M. L., & Weeks, W. B. (2024). AI for good: Applications in sustainability, humanitarian action, and health. John Wiley & Sons.

Grigsby, L. (2021). Artificial intelligence technology: A breakthrough of human being: Disadvantages of artificial intelligence.

McQuillan, D. (2022). Resisting AI: An anti-fascist approach to artificial intelligence. Policy Press.

Munshi, M. (2023). The ethics of artificial intelligence: Balancing benefits and risks. Muzaffar Munshi.

Panic, B., & Arthur, P. (2024). AI for peace. CRC Press.

Satishkumar, D., & Sivaraja, M. (2024). Internet of things and AI for natural disaster management and prediction. IGI Global.

Temperman, J. (2023). Artificial intelligence and human rights. Oxford University Press.

Photo: CNBC

About Minas

Minas Stravopodis is a Policy Analyst with special focus on International Relations, Political Sociology, and European Affairs.

He is a PhD candidate in International Relations & Political Sociology at Panteion University of Political & Social Sciences in Athens, while he holds a Master in War Studies from King’s College London, and a Bachelor’s in international & European Studies from University of Piraeus. His PhD research is focused on the creation of a new typology, the “Nation-state Resilience Typology”, by assessing the Balkan region as case study.

He has worked as a Political Advisor on issues related to Greek National Security, European Policies, Human Rights, and the Rule of Law. He has also been a researcher in various Research Centers and Think Tanks. In the past, he has also worked as a Schuman Trainee in the Foreign Affairs Committee at the European Parliament.

Last but not least, Minas Stravopodis is an Author, as he has published his first literary book in October 2021. It is a socio-political novel under the title “The Rebel of the Abyss” and it raises serious concerns of the rise of the far-right wing in Europe and the Western World.

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