Artificial intelligence is now woven into decisions that shape real lives, from who gets hired and who receives a loan, to how patients are diagnosed and how defendants are sentenced. With that power comes responsibility, and this course is built to help you meet it. AI Ethics: Responsible Use is a complete, practical journey through the principles, risks, and real-world consequences of building and deploying AI systems, designed for anyone who wants to create technology that is fair, transparent, and trustworthy.
You will begin with the foundations, exploring what AI ethics actually means, why it matters at scale, and how the field evolved from Asimov’s early thought experiments to today’s EU AI Act. From there, you will work through the core ethical principles that should guide every AI project, including beneficence, non-maleficence, autonomy, human oversight, justice, and fairness. You will then dive deep into one of the most pressing challenges in the field: bias. You will learn exactly how bias enters AI systems, the many forms it takes, and the pre-processing, in-processing, post-processing, and organizational strategies used to mitigate it.
