Data Ethics, AI & Data for Good P.3: Human Bias, AI Bias and the Path to Fairer Analytics

Is AI truly objective? Not always. AI systems can inherit biases from the people, processes, and data that shape them. In this session, Dr Sharad Saxena examines the relationship between human bias and AI bias, highlighting common misconceptions about fairness in analytics. Learn why removing sensitive variables alone may not eliminate discrimination and why human oversight remains essential in responsible AI development. This session provides valuable insights for students, data scientists, educators, and professionals seeking to build more transparent and equitable AI systems. #AIBias #FairAI #DataEthics #ResponsibleAI #MachineLearning #TrustworthyAI #DataAnalytics #ArtificialIntelligence #ResponsibleInnovation #SASEducate #SASUsers #LearnSAS 🚀 Continue your learning journey with practical insights into AI, analytics, and emerging technologies. Subscribe for more presentations, discussions, and expert perspectives from the SAS community. SUBSCRIBE TO THE SAS USERS YOUTUBE CHANNEL #SASUsers #LearnSAS https://www.youtube.com/@SASSoftwareA... ABOUT SAS SAS is a global leader in data and AI, helping organizations make confident decisions with AI they can trust. For decades, SAS has set the standard for delivering software that drives meaningful impact, incorporating deep industry expertise, transparency, and governance. SAS gives you THE POWER TO KNOW®. CONNECT WITH SAS SAS ► https://www.sas.com SAS Customer Support ► https://support.sas.com SAS Communities ► https://communities.sas.com SAS Analytics Explorers ► https://explorers.sas.com Facebook ►   / sassoftware   X ►   / sassoftware   LinkedIn ►   / sas   Blogs ► https://blogs.sas.com RSS ► https://www.sas.com/rss