RJT 102

AI Literacy and Policy Fundamentals: Understanding and Mitigating Algorithmic Bias

Provides a foundational understanding of algorithmic bias and anti-bias strategies in the context of artificial intelligence (AI). Participants will explore how AI systems can perpetuate biases, the impact of these biases on decision-making processes, and the ethical and policy considerations necessary to create fair and trustworthy AI systems. The course is designed to equip learners with the tools and knowledge needed to critically assess AI applications and implement strategies to mitigate bias.