Artificial Intelligence, Cyber Security, And Emerging Technologies5 DaysCertificate Included
Duration
5 Days
Mode
Online & Physical
Certificate
Included
Language
English
Course Overview
This program explores the transformative potential of Artificial Intelligence (AI) in addressing pressing global challenges such as poverty, health crises, climate change, disaster response, and social inequality. The course focuses on how AI technologies can be strategically designed, governed, and applied to promote sustainable development, ethical innovation, and equitable societal impact. Participants will gain practical insights into real-world applications of AI for humanitarian aid, crisis management, public health, and environmental sustainability, while also understanding the ethical, legal, and policy frameworks guiding responsible use.
Secure enrollment • Professional certificate included
Learning Objectives
By the end of the course, participants will be able to:
Understand the concept of AI for Social Good and its role in advancing the UN Sustainable Development Goals (SDGs).
Identify and assess AI applications in humanitarian, environmental, and social development contexts.
Develop strategies to implement AI-driven solutions ethically and inclusively.
Evaluate the challenges of data access, governance, and algorithmic fairness in social-good projects.
Collaborate effectively with multistakeholder organizations (NGOs, governments, private sector, and academia) in AI initiatives.
Design frameworks for responsible innovation and impact measurement in AI projects.
Course Content
Module 1: Introduction to AI for Social Good Overview: An exploration of how AI can contribute to solving global challenges and creating equitable social impact. Key Focus Areas: Understanding the “AI for Social Good” movement The intersection of AI, ethics, and human-centered design Role of AI in advancing the Sustainable Development Goals (SDGs) Global frameworks and initiatives for AI-driven social innovation Case studies: AI in education, healthcare, and disaster relief Learning Outcome: Participants will grasp the foundational principles and global significance of AI for Social Good initiatives. Module 2: AI Applications in Humanitarian Action and Crisis Response Overview: Examining how AI enhances decision-making and resource allocation during emergencies and humanitarian crises. Key Focus Areas: AI for disaster prediction and early warning systems Crisis mapping, drone imagery analysis, and real-time response Resource optimization for aid distribution and logistics AI in refugee management and humanitarian supply chains Collaboration models among NGOs, governments, and tech firms Learning Outcome: Participants will understand how to apply AI tools to improve preparedness, coordination, and impact in humanitarian settings. Module 3: AI for Environmental Sustainability and Climate Action Overview: Exploring how AI supports environmental conservation, climate monitoring, and sustainable resource management. Key Focus Areas: AI applications in climate modeling and carbon monitoring Environmental data analytics and biodiversity mapping Smart agriculture and water management using AI AI in renewable energy optimization and pollution control Policy implications and ethical considerations in green AI Learning Outcome: Participants will learn how AI contributes to achieving sustainability goals and mitigating environmental challenges. Module 4: Ethics, Governance, and Equity in AI for Social Good Overview: Ensuring responsible innovation and minimizing the risks of bias, discrimination, and inequity in AI systems. Key Focus Areas: Ethical frameworks for AI in humanitarian and development contexts Algorithmic fairness, transparency, and accountability Data privacy, consent, and protection of vulnerable populations Inclusive design and participatory AI development Governance models and regulatory frameworks for ethical AI Learning Outcome: Participants will understand how to design and implement ethical and transparent AI solutions that protect human rights. Module 5: Designing Impactful AI Projects for Social Good Overview: Applying learned concepts through project-based exercises and strategy development. Key Focus Areas: Identifying social problems solvable through AI Building cross-sectoral partnerships and funding strategies Frameworks for project design, implementation, and evaluation Measuring impact and sustainability of AI-driven initiatives Capstone workshop: developing an AI for Social Good proposal Learning Outcome: Participants will be able to conceptualize, plan, and evaluate real-world AI for Social Good projects that deliver measurable outcomes. Practical Components Workshop: Designing an AI solution for a real-world humanitarian or development problem Case Studies: AI in global health (e.g., disease prediction), poverty mapping, and disaster management Simulation Exercise: Crisis response using AI tools Panel Discussion: Ethical dilemmas in AI for vulnerable populations
Who Should Attend
This course is designed for AI practitioners, data scientists, policymakers, NGO professionals, development specialists, humanitarian coordinators, and social entrepreneurs interested in leveraging AI for positive social impact and global development. It also benefits academics, researchers, and technology leaders seeking to apply AI to ethical, inclusive, and humanitarian initiatives.