Course description
Data Science Ethics
As patients, we care about the privacy of our medical record; but as patients, we also wish to benefit from the analysis of data in medical records. As citizens, we want a fair trial before being punished for a crime; but as citizens, we want to stop terrorists before they attack us. As decision-makers, we value the advice we get from data-driven algorithms; but as decision-makers, we also worry about unintended bias. Many data scientists learn the tools of the trade and get down to work right away, without appreciating the possible consequences of their work.
This course focused on ethics specifically related to data science will provide you with the framework to analyze these concerns. This framework is based on ethics, which are shared values that help differentiate right from wrong. Ethics are not law, but they are usually the basis for laws.
Everyone, including data scientists, will benefit from this course. No previous knowledge is needed.
Upcoming start dates
Suitability - Who should attend?
Prerequisites
The ability to think critically about the impact of one's decisions.
Outcome / Qualification etc.
What you'll learn
- Who owns data
- How we value different aspects of privacy
- How we get informed consent
- What it means to be fair
Course delivery details
This course is offered through The University of Michigan, a partner institute of EdX.
3-4 hours per week
Expenses
- Verified Track -$49
- Audit Track - Free