This course delves into the ethical challenges and societal implications of AI technologies, focusing on reducing bias and promoting fairness in AI systems. Students will explore the sources and impacts of algorithmic bias, examine case studies of AI-driven discrimination, and learn methodologies to detect, measure, and mitigate bias in AI models. By engaging with ethical frameworks, regulatory guidelines, and technical strategies, participants will gain the tools necessary to develop more inclusive and equitable AI solutions. The course combines theory and practice to empower students to build AI systems that serve all segments of society fairly.