M. Elizabeth Karns is a lawyer and epidemiologist. Her teaching is directly connected to her practice, which has focused on statistical evidence, occupational illnesses, assault and harassment injuries, and reproductive harms. Professor Karns has been involved in every aspect of the data life cycle, from initial design to post-event forensic evaluations. Her work on data science ethics brings together professional practice norms, individual values, and organizational goals. Professor Karns is currently developing a virtual reality experience based on the unintended consequences of automated fraud detection.
Creating an Ethical Data Science Practice and WorkplaceCornell Course
Creating an Ethical Data Science Practice and Workplace ()
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Course Overview
Managing the dynamic between individual and organizational ethics can feel complicated without the proper tools and foundations. In this course, you will be introduced to the necessary tools to understand and engage with these frequently opposing contexts. You will apply virtue ethics concepts across individual, team, and organizational levels to create an environment that encourages all stakeholders to thrive. You will discover techniques for cultivating habits, reviewing processes for ethical flags, creating low-stakes mechanisms to raise ethical concerns, and building an ethical climate in performance reviews. Finally, you will engage with workplace practices around ethics, identifying strategies for handling situations in which ethics are central, including deploying rewards for ethical practices. By the end of this course, you will have the tools necessary to apply ethical concepts in workplace settings, helping you manage the dynamic between individual and organizational ethics to help every stakeholder succeed.
Key Course Takeaways
- Manage the dynamic between individual and organizational ethics
- Apply virtue ethics concepts across individual, team, and organizational levels
- Engage with workplace practices around ethics and identify how to handle situations when ethics become a concern
- Deploy rewards for ethical practices
How It Works
Course Length
2 weeks
Effort
3 to 5 hours of study per week
Format
100% online, instructor-led
Course Author
Senior Lecturer, Social Statistics, Cornell ILR School
Who Should Enroll
- Data and machine learning scientists
- Data bank managers and curators
- Model and algorithm developers
- Data protection managers and privacy stewards
- Ethics officers
- Statisticians
- IT managers and technology consultants
- Data and business analysts
- Software developers and programmers
- Quality and security engineers
- Compliance professionals
- Lawyers
Get It Done
100% Online
100% Online
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