AI and Gender Bias: Understanding and Mitigating Algorithmic Bias

Artificial intelligence systems increasingly influence decisions across hiring, healthcare, and media, yet unexamined data and algorithms can perpetuate and amplify gender bias. This course provides a structured introduction to the ethical dimensions of AI, equipping you with the foundational knowledge required to spot, analyze, and address gender disparities in automated tools. What you'll learn: Understand foundational concepts in artificial intelligence, machine learning, and algorithmic fairness; Identify how gender bias manifests in training data, language models, and computer vision systems; Evaluate fairness metrics and audit datasets for historical imbalances and representational gaps; Apply mitigation strategies across data curation, model refinement, and prompt design; Analyze real-world case studies to formulate responsible AI governance practices. You will start with essential terminology and the core mechanics of how models learn from data, then progress to written case analyses and actionable bias-reduction techniques. This course is created for beginners, tech enthusiasts, product teams, and analysts with no prior programming or data science background required. Start reading today to help shape fairer and more equitable AI technologies.