Description
As artificial intelligence becomes increasingly integrated into our lives, ethical concerns surrounding its development and deployment are more urgent than ever. This course explores the ethical implications of AI, examining topics such as algorithmic bias, data privacy, surveillance, discrimination, and the societal impact of automation. You’ll study real-world examples where unethical AI practices led to harm and assess frameworks for ethical AI governance. The course delves into legal considerations, regulatory policies, and global standards, helping you understand how innovation can be steered responsibly. Through case studies, debates, and design thinking exercises, learners are encouraged to think critically and practically about building ethical AI systems. You’ll also gain insight into interdisciplinary perspectives from philosophy, sociology, law, and technology. The course prepares you to become a responsible innovator, capable of designing AI applications that not only meet business or research goals but also uphold human rights and social justice.
Saidat –
Ethics isn’t just a buzzword anymore—this course showed me how to embed it into strategy, design, and deployment. It’s practical, timely, and essential for modern innovators.
Theresa –
Finally, a course that bridges the gap between technical development and ethical responsibility. It’s a must for anyone shaping the future of tech.
Olaide –
The real-world case studies made abstract concepts very relatable. It taught me how to design with fairness and inclusivity in mind from the very beginning.
Udoka –
This course helped me think beyond algorithms and performance. It challenged me to consider bias, accountability, and long-term impact in every AI project I work on.
Chizoba –
The course gave me a strong foundation in ethical frameworks and responsible innovation. I now feel more confident navigating discussions about ethics in my academic research.