Original PromptEthics & Responsible AI: Detecting and Mitigating Algorithmic Bias generate detailed ppt for taking class in simple, easy to read, easy to understand easy to explain each with examples to make students handon session and creative
This teacher's guide provides a comprehensive lesson plan focused on understanding algorithmic bias in artificial intelligence (AI) systems. Designed for an interactive session lasting between 45 to 60 minutes, the guide outlines required materials, including laptops for research and worksheets for bias detection. It emphasizes setting up case study stations and ensuring internet connectivity for AI simulations. The learning objectives encompass identifying sources of bias, evaluating AI outcomes for fairness across demographics, proposing mitigation strategies for algorithmic harm, and applying assessment rubrics to peer case studies. Engaging activities like group discussions, hands-on exercises, and toolkits for bias detection encourage critical thinking about the implications of AI in real-world contexts, such as job hiring, healthcare, and social media. Key concepts such as historical bias, representation bias, and measurement bias, along with proposed solutions for creating fairer AI systems, round out the curriculum, promoting ethical oversight in technology.