Description
As artificial intelligence and advanced technologies become integral to our lives, understanding the ethical implications of their development and deployment is essential. This course provides a deep dive into the moral, legal, and societal questions that arise from AI systems, machine learning algorithms, automation, and data-driven technologies. Students will examine core ethical principles such as fairness, accountability, transparency, privacy, and human autonomy in the context of AI. Key topics include algorithmic bias, surveillance ethics, decision-making in autonomous systems, the use of AI in warfare and criminal justice, and the role of big tech companies in shaping ethical standards. The course also explores regulatory frameworks, including the EU AI Act and evolving global governance structures. Through ethical case studies involving facial recognition, social media platforms, and predictive analytics, learners gain the ability to assess risk, mitigate harm, and advocate for responsible innovation. By the end of the course, students will be equipped to participate in critical conversations around ethics in technology, contribute to responsible AI initiatives, and make informed decisions that reflect societal values in technological innovation.
Lubabatu –
It helped me better understand the ethical risks in deploying AI at scale. The case studies and practical frameworks were exactly what I needed to guide decision-making within my team.
Ikenna –
Clear, thought-provoking, and grounded in real-world examples. This course should be a core requirement for anyone studying AI or computer science.
Ugochukwu –
This course tackles the tough questions in AI ethics that most developers overlook. It challenged my thinking and gave me tools to approach AI design more responsibly.
Rashidat –
I never realized how deeply ethics are woven into every AI decision. This course helped me see the bigger picture—and I’ve already applied what I learned to improve our product’s fairness.
Jibrin –
A timely and well-structured course. The modules on algorithmic bias and data privacy were especially relevant to my work in policy.