Introduction

As Artificial Intelligence (AI) and other advanced technologies rapidly transform various sectors, non-governmental organizations (NGOs) are increasingly recognizing the immense potential of these tools to enhance program efficiency, deepen impact, and reach more vulnerable populations. From predictive analytics for disaster response to AI-powered chatbots for mental health support, the strategic adoption of technology can revolutionize how NGOs address complex global challenges. However, this powerful potential comes with significant ethical responsibilities. Without a deliberate focus on Ethical AI and Technology Use in NGO Programming, organizations risk exacerbating existing inequalities, compromising data privacy, perpetuating biases, and undermining the trust of the communities they serve. Ensuring that technological innovation aligns with humanitarian principles and human rights is paramount for responsible and effective social good. This essential training course focuses on equipping professionals with the expertise to master Ethical AI and Technology Use in NGO Programming.

This intensive training course is meticulously designed to empower NGO leaders, program managers, M&E specialists, data scientists, IT personnel, and all individuals involved in integrating technology into social programs with the theoretical understanding and hands-on practical tools necessary to navigate the complex ethical landscape of AI and technology. Participants will gain a deep understanding of AI ethics frameworks, explore principles of data governance and privacy, learn about identifying and mitigating algorithmic bias, and acquire skills in conducting ethical risk assessments, fostering human-centered design, and ensuring accountability in technology deployment. The course will delve into topics such as informed consent in digital contexts, digital inclusion, responsible data sharing, black box algorithms, human oversight, and the role of digital rights in humanitarian action. By mastering the principles and practical application of Ethical AI and Technology Use in NGO Programming, participants will be prepared to harness technology for transformative good while upholding the highest standards of ethics, equity, and human dignity.

Duration: 5 Days

Target Audience

• NGO Executive Directors and Senior Management
• Program Managers and Project Coordinators
• Data Scientists and Analysts in NGOs
• Monitoring, Evaluation, Accountability, and Learning (MEAL) Specialists
• IT and Digital Transformation Leads
• Legal and Compliance Officers
• Human Resources Managers (regarding AI in HR processes)
• Advocacy and Policy Officers dealing with digital rights
• Community Engagement and Protection Specialists
• Anyone involved in the design, implementation, or oversight of technology-driven programs.

Objectives

• Understand the fundamental ethical principles guiding AI and technology use in the social sector.
• Learn to identify potential ethical risks and harms associated with AI in NGO programming.
• Acquire skills in designing human-centered and inclusive AI solutions.
• Comprehend techniques for ensuring data privacy, security, and responsible data governance.
• Explore strategies for detecting and mitigating algorithmic bias in AI systems.
• Understand the importance of transparency, explainability, and accountability in AI deployment.
• Gain insights into obtaining meaningful informed consent in digital contexts.
• Develop a practical understanding of developing organizational policies and frameworks for ethical AI use.

Course Content

Module 1: Introduction to AI Ethics in the Social Sector

• Defining AI and related technologies (Machine Learning, Generative AI).
• The immense potential of AI for social good (e.g., disaster response, health, education).
• Emerging ethical challenges and dilemmas in AI use by NGOs.
• Core ethical principles for AI: fairness, accountability, transparency, privacy, human oversight.
• Case studies illustrating both opportunities and risks of AI in NGO programs.

Module 2: Human-Centered Design and Digital Inclusion

• Principles of human-centered AI: prioritizing human needs, values, and well-being.
• Ensuring AI solutions are accessible and inclusive for all populations, including marginalized groups.
• Addressing the digital divide and ensuring equitable access to technology.
• The importance of participatory design and co-creation with affected communities.
• Balancing automation with human agency and oversight.

Module 3: Data Ethics, Privacy, and Security

• The crucial role of data in AI: collection, storage, processing, and use.
• Principles of data privacy: consent, purpose limitation, data minimization.
• Understanding relevant data protection regulations (e.g., GDPR principles for sensitive data).
• Designing secure data architectures and protecting against cyber threats.
• Anonymous vs. pseudonymized data and their implications for privacy.

Module 4: Algorithmic Bias and Fairness

• Understanding what algorithmic bias is and how it arises (data bias, human bias, systemic bias).
• Types of bias relevant to NGO contexts (e.g., bias in resource allocation, needs assessment).
• Methods for detecting and measuring bias in AI models and data.
• Strategies for mitigating bias: diverse datasets, fairness-aware algorithms, human review.
• The concept of algorithmic discrimination and its societal impact.

Module 5: Transparency, Explainability, and Accountability

• The "black box" problem: understanding AI decision-making processes.
• Importance of explainable AI (XAI) for trust and accountability.
• Communicating AI logic and limitations to non-technical stakeholders.
• Establishing clear lines of accountability for AI-driven decisions and their outcomes.
• Developing grievance redress mechanisms for individuals affected by AI systems.

Module 6: Informed Consent and Digital Rights

• Re-evaluating informed consent in digital and AI-driven contexts.
• Ensuring meaningful consent for data collection and AI-driven interventions.
• Understanding fundamental digital rights: privacy, freedom of expression, non-discrimination online.
• The role of NGOs in advocating for and protecting digital rights of beneficiaries.
• Addressing potential surveillance and misuse of technology in sensitive environments.

Module 7: Governance and Policy Frameworks for Ethical AI

• Developing internal ethical AI guidelines and policies for NGOs.
• Establishing an AI ethics committee or review board within the organization.
• Integrating ethical considerations into procurement processes for AI solutions.
• Staff training and capacity building on responsible AI practices.
• Creating a culture of ethical innovation and continuous learning.

Module 8: Ethical AI in Practice: Case Studies and Future Directions

• Analyzing real-world case studies of ethical dilemmas in NGO AI programming.
• Practical exercises in conducting ethical risk assessments for new AI initiatives.
• Exploring emerging trends in ethical AI (e.g., federated learning, privacy-preserving AI).
• Collaboration with tech companies, academia, and civil society on ethical AI development.
• The role of NGOs in shaping global norms and standards for responsible AI for social good.

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: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

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

Certification

Participants will be issued with Skills for Africa Training Institute 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: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 5 working days before commencement of the training.