Learn to identify, analyze, and address ethical challenges in AI development. Understand foundational frameworks, examine real-world case studies, and discover best practices for ensuring fairness, accountability, and transparency. This course equips you to make ethically sound decisions and foster trust in the AI-driven world.

This course examines the ethical dimensions of AI-powered facial recognition, including fairness, privacy, cultural sensitivity, and the impact of evolving regulations. Learners will explore real-world case studies, review current events, and understand the responsibilities of engineers, policymakers, and stakeholders in shaping the future of this technology.

This course delves into the ethical dimensions of artificial intelligence in the retail industry, including supermarkets and online commerce. Participants will explore topics such as algorithmic bias, labor displacement, surveillance concerns, and privacy issues in AI-driven retail environments. The course combines theoretical frameworks, real-world case studies, and practical tools to empower participants to critically evaluate the ethical implications of AI in retail.