AI Ethics & Responsible AI: Bias, Privacy, Governance

This course contains the use of artificial intelligence.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.The course also gives you a strong command of privacy and data protection, covering core privacy principles, GDPR and global regulations, and cutting-edge privacy-preserving techniques such as differential privacy, federated learning, and secure multi-party computation.

You will tackle the black box problem head-on, learning explainable AI techniques like LIME and SHAP, and discover how transparency builds the trust that determines whether AI is accepted or rejected. You will round out your knowledge with accountability and governance, mastering governance frameworks, risk assessment, and the organizational structures that turn good intentions into responsible practice.Finally, you will study two landmark real-world case studies, Amazon's biased AI hiring tool and the COMPAS recidivism algorithm, to see how these principles play out when the stakes are highest. By the end, you will be able to identify ethical risks, apply proven mitigation strategies, and contribute confidently to AI projects that are both powerful and principled.ISO Xpert Academy is a trusted learning provider dedicated to delivering practical, standards-aligned, and career-focused training across emerging technologies and professional disciplines.

Our courses are designed by subject-matter specialists to help learners gain real, applicable skills and stay ahead in a fast-changing world.