Mastering Responsible AI: From Concept to Auditing

The expansion of AI highlights the need to build and deploy AI systems and products responsibly. This means pulling in cross-functional teams earlier and more often, knowing frameworks for building responsible products, and understanding algorithmic auditing to mitigate bias. This learning path provides practical information about responsible AI, governance, and algorithmic auditing to build AI products as responsibly and equitably as possible. Explore the concepts of algothmic bias and unfairness. Learn to mitigate the risks of AI while maximizing benefits. Use generative AI tools to mitigate algorithmic bias. Build algorithmic auditing/continuous monitoring processes.