Evaluating AI Impact on SDG Outcomes
( 30 Modules )

Module #1
Introduction to AI and SDGs
An overview of Artificial Intelligence (AI) and the United Nations Sustainable Development Goals (SDGs), including the importance of evaluating AIs impact on SDG outcomes.

Module #2
Understanding SDGs and their Indicators
A deep dive into the 17 SDGs, their targets, and indicators, including how to measure progress towards achieving them.

Module #3
AI and SDG Intersections
Exploring the potential applications and implications of AI on each SDG, including opportunities, challenges, and risks.

Module #4
Introduction to AI Impact Evaluation
The fundamentals of evaluating AIs impact, including evaluation frameworks, methods, and tools.

Module #5
Types of AI Impact Evaluation
Examination of different types of impact evaluation, including formative, summative, and transformative evaluations.

Module #6
SDG-Specific AI Impact Evaluation
In-depth exploration of AIs impact on specific SDGs, such as SDG 4 (Quality Education) or SDG 12 (Responsible Consumption and Production).

Module #7
AI and Data for SDG Monitoring
The role of AI in data collection, analysis, and visualization for SDG monitoring, including the use of machine learning and data mining techniques.

Module #8
AI-Driven Solutions for SDGs
Case studies of AI-driven solutions that address specific SDGs, including successes, challenges, and lessons learned.

Module #9
Human-Centered AI Design for SDGs
The importance of human-centered design principles in AI development for SDGs, including user needs assessment and co-creation.

Module #10
Ethical Considerations in AI for SDGs
Exploration of ethical considerations in AI development and deployment for SDGs, including bias, fairness, transparency, and accountability.

Module #11
AI Governance and Regulation for SDGs
The role of governance and regulation in ensuring responsible AI development and deployment for SDGs, including policy frameworks and standards.

Module #12
Stakeholder Engagement and Collaboration
The importance of stakeholder engagement and collaboration in AI development and deployment for SDGs, including multi-stakeholder partnerships and coalitions.

Module #13
AI and Inclusive Development
The importance of inclusive development in AI deployment for SDGs, including addressing the digital divide, accessibility, and disability.

Module #14
AI and Gender Equality
The intersection of AI and gender equality, including the need for gender-sensitive AI design and deployment.

Module #15
AI and Environmental Sustainability
The role of AI in environmental sustainability, including climate action, sustainable resource management, and conservation.

Module #16
AI for SDG Data Analysis and Visualization
Hands-on training in using AI and data analysis tools for SDG data analysis and visualization, including data mining, machine learning, and visualization best practices.

Module #17
AI Impact Evaluation Case Studies
In-depth analysis of real-world case studies of AI impact evaluation, including successes, challenges, and lessons learned.

Module #18
Designing AI Impact Evaluation Frameworks
Guidance on designing AI impact evaluation frameworks that align with SDG goals, targets, and indicators.

Module #19
Conducting AI Impact Evaluations
Practical guidance on conducting AI impact evaluations, including data collection, analysis, and reporting.

Module #20
Interpreting and Communicating AI Impact Evaluation Results
Best practices for interpreting and communicating AI impact evaluation results to various stakeholders, including policymakers, practitioners, and the general public.

Module #21
AI Impact Evaluation for SDG Policy and Decision-Making
The role of AI impact evaluation in informing SDG policy and decision-making, including generating evidence for policy action.

Module #22
AI and Capacity Building for SDGs
The importance of capacity building and training for AI development and deployment for SDGs, including upskilling and reskilling.

Module #23
AI and SDG Financing
The role of AI in SDG financing, including innovative financing mechanisms, investment strategies, and risk management.

Module #24
AI and SDG Partnerships
The importance of partnerships and collaborations in AI development and deployment for SDGs, including multi-stakeholder partnerships and public-private partnerships.

Module #25
AI and SDG Monitoring and Review
The role of AI in SDG monitoring and review, including the use of AI in data analysis, visualization, and reporting.

Module #26
AI and SDG Implementation at National and Local Levels
Case studies of AI implementation for SDGs at national and local levels, including successes, challenges, and lessons learned.

Module #27
Addressing AI-Related Risks and Challenges for SDGs
Strategies for addressing AI-related risks and challenges for SDGs, including mitigation, adaptation, and resilience building.

Module #28
AI and SDG Research and Development
The role of research and development in advancing AI for SDGs, including innovation, experimentation, and knowledge sharing.

Module #29
AI and SDG Education and Awareness
The importance of education and awareness in promoting AI for SDGs, including capacity building, training, and public awareness campaigns.

Module #30
Course Wrap-Up & Conclusion
Planning next steps in Evaluating AI Impact on SDG Outcomes career

WIZAPE

ONLINE RESOURCES

ABOUT WIZAPE

ONLINE PORTAL

Our priority is to cultivate a vibrant community before considering the release of a token. By focusing on engagement and support, we can create a solid foundation for sustainable growth. Let’s build this together!

We're giving our website a fresh new look and feel! 🎉 Stay tuned as we work behind the scenes to enhance your experience.
Get ready for a revamped site that’s sleeker, and packed with new features. Thank you for your patience. Great things are coming!

CONTACT-US PRIVACY POLICY

Evaluating AI Impact on SDG Outcomes ( 30 Modules )

Evaluating AI Impact on SDG Outcomes
( 30 Modules )