Ethics of Artificial Intelligence in Humanitarian Programming Course

Course Introduction

Artificial Intelligence is rapidly transforming humanitarian programming, from needs assessments to targeting and service delivery. This course provides a critical and practical understanding of how AI technologies are used in humanitarian contexts and the ethical considerations that must guide their application.

The program explores how AI tools such as predictive analytics, machine learning, and automated decision systems influence humanitarian decisions. Participants will examine both the opportunities and risks associated with AI-driven programming in crisis environments.

A strong emphasis is placed on ethical frameworks, including fairness, accountability, transparency, and human rights protection. The course helps participants understand how to ensure AI systems do not reinforce inequality, bias, or exclusion in humanitarian action.

Participants will also analyze data governance, privacy concerns, and protection of vulnerable populations when using AI systems. Special attention is given to safeguarding sensitive data collected in emergency and displacement settings.

The course introduces practical governance tools such as ethical AI impact assessments, algorithm auditing, and responsible data use frameworks. These tools help organizations evaluate and regulate AI applications in humanitarian work.

By the end of the course, participants will be able to critically assess, design, and oversee AI-enabled humanitarian programs that are ethical, transparent, and aligned with humanitarian principles.

Duration

5 days

Who Should Attend

• Humanitarian program managers
• Data science and AI specialists in NGOs
• UN agency staff involved in digital transformation
• Monitoring and evaluation officers
• Information management specialists
• Protection and safeguarding officers
• Policy and ethics advisors
• Digital humanitarian innovation teams
• Research and evaluation professionals
• Government digital transformation officers

Course Objectives

• Develop a comprehensive understanding of the ethics of artificial intelligence in humanitarian programming, enabling participants to critically evaluate AI systems and ensure their responsible use in crisis and development contexts.
• Strengthen knowledge of AI technologies including machine learning, predictive analytics, and automated decision-making systems used in humanitarian operations.
• Build proficiency in identifying ethical risks such as bias, discrimination, exclusion, and algorithmic unfairness in AI-driven humanitarian systems.
• Enhance skills in applying ethical frameworks including accountability, transparency, fairness, and human rights protection in digital humanitarian programming.
• Develop capability to conduct AI impact assessments and algorithm audits in humanitarian contexts.
• Improve understanding of data governance, privacy protection, and informed consent in AI-enabled systems.
• Strengthen ability to ensure protection of vulnerable populations in data-driven decision-making processes.
• Gain expertise in integrating ethical safeguards into AI system design and implementation.
• Develop skills in engaging stakeholders in responsible AI governance and oversight mechanisms.
• Prepare participants to lead ethical, transparent, and accountable AI adoption in humanitarian programming.

Course Outline

Module 1: Introduction to AI in Humanitarian Contexts

• Understanding AI applications in humanitarian programming.
• Exploring machine learning and predictive analytics tools.
• Identifying AI use cases in crisis response systems.
• Reviewing digital transformation in humanitarian action.

Module 2: Ethical Foundations of AI

• Understanding core principles of AI ethics.
• Exploring human rights-based approaches to AI use.
• Identifying ethical risks in algorithmic systems.
• Reviewing global AI ethics frameworks.

Module 3: Bias and Fairness in AI Systems

• Identifying bias in data and algorithms.
• Understanding discrimination risks in AI models.
• Applying fairness principles in system design.
• Mitigating exclusion in AI-driven programming.

Module 4: Data Governance and Protection

• Managing sensitive humanitarian data responsibly.
• Ensuring privacy in AI-enabled systems.
• Applying informed consent principles in data collection.
• Strengthening data governance frameworks.

Module 5: Transparency and Accountability

• Understanding explainability in AI systems.
• Ensuring accountability in automated decision-making.
• Documenting AI system logic and processes.
• Building trust through transparency mechanisms.

Module 6: AI in Targeting and Assistance Delivery

• Using AI for beneficiary targeting and selection.
• Assessing risks in automated assistance systems.
• Preventing exclusion errors in aid delivery.
• Ensuring fairness in humanitarian targeting.

Module 7: AI Impact Assessment Tools

• Conducting ethical impact assessments for AI systems.
• Evaluating social consequences of AI deployment.
• Identifying risks before system implementation.
• Using assessment results for system improvement.

Module 8: Algorithm Auditing and Oversight

• Understanding algorithm audit methodologies.
• Reviewing AI system performance and fairness.
• Detecting errors and unintended consequences.
• Strengthening oversight and governance structures.

Module 9: Responsible AI Design

• Designing ethical and inclusive AI systems.
• Integrating safeguards into system architecture.
• Ensuring human oversight in decision-making.
• Promoting responsible innovation practices.

Module 10: Governance and Future of AI in Humanitarian Action

• Developing AI governance frameworks for NGOs and UN.
• Aligning AI use with humanitarian principles.
• Preparing for emerging AI technologies in crises.
• Strengthening institutional capacity for ethical AI use.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue 

The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.

Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment:

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.