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Ethics and Law in Data and Analytics

About this course

This course is part of the Microsoft Professional Program in Artificial Intelligence.

Corporations, governments, and individuals have powerful tools in Analytics and AI to create real-world outcomes, for good or for ill.

Data professionals today need both the frameworks and the methods in their job to achieve optimal results while being good stewards of their critical role in society today.

In this course, you'll learn to apply ethical and legal frameworks to initiatives in the data profession. You'll explore practical approaches to data and analytics problems posed by work in Big Data, Data Science, and AI. You'll also investigate applied data methods for ethical and legal work in Analytics and AI.

What you'll learn

  • Foundational abilities in applying ethical and legal frameworks for the data profession
  • Practical approaches to data and analytics problems, including Big Data and Data Science and AI
  • Applied data methods for ethical and legal work in Analytics and AI

Meet the instructors

Ben Olsen

Ben Olsen

Sr. Content Developer Microsoft

Ben is a Sr. Content Developer for Microsoft's Learning and Readiness team, and is an analytics professional and educator with over 8 years of industry and managerial experience. Prior to joining Microsoft, Ben ran and directed multiple consulting firms, where he also held critical analytics roles in companies as diverse as Juniper Networks, Costco, and T-Mobile. He has taught Data Visualization at The University of Washington, and recently founded Seattle Pacific University's Analytics Certificate Program.

Geneva Lasprogata

Geneva Lasprogata

Endowed Chair in Business Seattle University

Geneva ("Eva") Anne Lasprogata is a professor of law at Seattle University, where she is tenured in the Albers School of Business and Economics. Profiting from her unique position as a law professor in a business school environment, Eva has been creatively bridging and integrating law and business for over fifteen years.

Eva’s teaching, research and consulting interests rest at the intersection of human rights and entrepreneurial business models. She has been recognized for her scholarly work in the areas of employee privacy law and social entrepreneurship, and is published in such journals as the Stanford Technology Law Review and the American Business Law Journal.

Nathan Colaner

Nathan Colaner

Instructor of Management and Philosophy Seattle University

Teaching, writing, and mentoring in business ethics have been the greatest joys of my professional life. Although I have realized, as many academics before me have, that there is a kind of satisfaction you can find only by directly impacting your community for good. So in addition to my role as Instructor at Seattle University, I have co-founded Digital Dignity Consulting, which addresses what will become one of the most important questions of the 21st century: what are the ethical and legal issues that businesses should consider when managing big data and machine learning?

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