More and more organizations are implementing Artificial Intelligence within their processes for hiring, automation, autonomous and predictive devices and many other use-cases. In this course, Ethics and Bias in Artificial Intelligence: Executive Briefing, you’ll discover the importance of ethical implementations and how to avoid bias in AI. First, you’ll gain a common understanding on what the wide field of artificial intelligence covers. Then, you’ll explore how ethics and bias come into play and what they mean in terms of AI implementations. Finally, you’ll learn the importance of proper policing of AI rules, ideally through transparent measures like open sourcing. When you’re finished with this course, you’ll have the skills and knowledge needed to understand what ethics and bias in artificial intelligence are and how to make sure you’re using AI in an ethical way while avoiding bias.
Author Name: Ben Weissman
Author Description:
Ben Weissman, a Microsoft Data Platform MVP, has been working with SQL Server since SQL Server 6.5, mainly in the BI/Datawarehousing field. Besides his Pluralsight courses, Ben is also the co-author of multiple books on data and kubernetes including “SQL Server on Kubernetes “, “Azure Arc-enabled Data Services”, “SQL Server Big Data Clusters” and “The Biml Book”. He is also a regular speaker at international events. Ben and his team at Solisyon have been involved in more than 200 Business I… more

Table of Contents

• Ethics and Bias in Artificial Intelligence
  18mins