The Ethics Of Analytics
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 and no clear standards exist in many cases as to what is fair and what is foul. This means that organizations must consider their own principles, the principles of their stakeholders, and their own risk tolerance in order to implement the right policies.
This course will cover a range of ethical, privacy, and legal issues that surround analytics today, as well as what may be expected in the future. It will frame the big questions to consider while providing some of the trade offs and ambiguities that must be addressed to answer those questions. With liberal use of real-world examples and group discussion, attendees will come away with a better grasp of how to further the ethics of their own analytics.
What You Will Learn:
- Why ethics in analytics is about much more than bias and regulatory compliance
- The points in the analytic cycle where ethics must be addressed
- How to ethically decide what problems to target
- Considerations when deciding what data to use
- How to ensure proper transparency and monitoring of processes
- How to ensure results are used properly as intended and that use in new contexts is appropriate
- Options for defining policies to support ethical analytics
- Why a framework is needed to continuously identify changes in regulations and “market perception / feedback” and their ethical implications
Who Should Attend:
- 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, Compliance Leaders
Duration: ½ day course
Contact firstname.lastname@example.org for more information and booking on The Ethics of Analytics Course.