Level: Beginner to Intermediate
Prerequisite: None
Bill Franks
Director, Center for Data Science and Analytics
Kennesaw State University
As more and more data is being collected, concerns are constantly being raised about what data is appropriate to collect and how (or if) it should be analyzed. There are many ethical, privacy, and legal issues to consider. In many cases there are no clear standards established as to what is fair and what is foul. This means organizations must consider their own principles, the principles of all their stakeholders, and their risk tolerance in order to implement effective ethics policies and guidelines.
This workshop will cover a range of ethical, privacy, and legal issues that surround data and analytics activities today, as well as what may be expected in the future. We’ll explore the big questions to consider while providing some of the trade-offs and ambiguities that must be addressed to answer those questions. The workshop will make liberal use of real-world examples, individual and group exercises, and group discussions. As a result, attendees will learn a framework to identify and apply the appropriate ethics oversight on their own data and analytics products. They will also be provided with a very simple tool that can be used to assess any given situation.
You Will Learn
- Why ethics in analytics is about much more than bias and regulatory compliance
- The points in the analytics cycle where ethics must be assessed and addressed
- How to ethically decide what problems to target
- Considerations when deciding what data to use and how to use it
- How to ensure proper transparency and monitoring of processes
- How to ensure analytics results are used properly, as intended, and that any use in new contexts is appropriate
- Options for defining policies to support ethical analytics
- Specific examples and discussions tied to the timely topic of generative AI
Geared To
- Data science and analytics professionals and leaders who create analytics
- Information technology professionals who support analytics
- Business team members and managers who consume analytics
- Legal, risk management, governance, and compliance leaders