Ethical AI: Frameworks for Responsible AI Design
This course is designed to provide participants with a deep understanding of ethical AI, its significance, and the frameworks necessary to ensure responsible AI development. It combines theoretical insights and practical hands-on activities to equip participants with tools to manage AI bias, fairness, risk, and governance.
Last updated 1/2025
English / Arabic
What you'll learn
- Understand the principles of ethical AI and its relevance in modern technology.
- Be familiar with global ethical frameworks and standards for AI.
- Analyze AI systems for fairness and implement tools for bias detection and mitigation.
- Apply ethical design thinking to AI workflows, focusing on transparency and accountability.
- Integrate AI fairness tools into project workflows and ensure continuous monitoring for fairness.
- Integrate AI fairness tools into project workflows and ensure continuous monitoring for fairness.
- Develop strategies to manage AI risks and establish ethical guidelines.
- Analyze real-world ethical AI challenges and design actionable ethical AI roadmaps.
Course Outline
This module introduces the concept of ethical AI, its significance, and its impact on modern society. Participants will explore key ethical issues, including AI bias, fairness, and transparency, while analyzing real-world examples. Interactive discussions and hands-on activities will enhance their understanding of bias detection and its implications.
This module explores global ethical AI frameworks such as IEEE, OECD, and the EU AI Act. Participants will learn to align AI projects with ethical governance standards while gaining insights into principles like transparency, explainability, and accountability. Hands-on exercises include mapping AI projects to these frameworks and simulating ethical board recommendations.
This module delves into the different types of AI bias (data, algorithmic, and systemic) and provides practical tools for fairness audits and bias mitigation. Participants will gain hands-on experience with tools like Google’s What-If Tool and IBM AI Fairness 360, developing strategies for designing fair AI systems.
Participants will explore human-centered and ethical design principles for AI systems. This module emphasizes the trade-offs between accuracy and fairness and equips participants with strategies for transparency and explainability. Through role-play and simulations, participants will practice designing user-centric AI systems while addressing ethical dilemmas.
This module focuses on the application of fairness tools like AI Fairness 360 and Google’s What-If Tool. Participants will learn to measure fairness metrics, integrate these tools into AI workflows, and monitor systems continuously for ethical compliance. Hands-on projects will enhance practical understanding of bias detection and resolution.
This module covers the identification and management of risks in AI projects. Participants will develop ethical risk assessment checklists, create compliance structures, and learn about real-world challenges in AI adoption. Practical activities include creating ethical risk assessments and generating risk management frameworks using AI tools.
In the final module, participants will design actionable roadmaps for responsible AI development and governance. They will explore AI ethics committees, continuous monitoring tools, and future trends in ethical AI. The module culminates in group presentations of ethical AI roadmaps, providing participants with a clear path for future implementation.
Absolutely loved your seminar! I found myself smiling and nodding along, completely resonating with every word you shared. It’s refreshing to witness the growing integration of AI and innovation into the HR landscape at last!
The experience was truly incredible, filled with engaging sessions that allowed us to explore cutting-edge digital strategies and innovation practices. I am especially grateful for the enthusiasm, curiosity, and collaborative spirit exhibited by all the attendees. Thank Fred once again for this fantastic learning journey.
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