Description
Designing Ethical and Trustworthy Intelligent Systems
As artificial intelligence continues to shape our world, ensuring that these systems are ethically sound, socially aligned, and scientifically robust is more important than ever. This course offers a comprehensive introduction to the principles and best practices of responsible AI development, equipping participants with the tools needed to create AI systems that are both effective and trustworthy.
Learners will explore the ethical foundations of AI, including fairness, accountability, and transparency, and understand how these principles translate into real-world development practices. A strong focus is placed on detecting and mitigating data bias, examining how even subtle imbalances in training data can lead to unintended consequences and unequal outcomes.
The course also highlights the importance of scientific and methodological rigour—essential for building reproducible, reliable models that uphold public confidence and meet emerging regulatory standards.
Ideal for developers, data scientists, project managers, and compliance professionals, this course empowers participants to take a proactive, values-driven approach to AI innovation.