H. V. Jagadish
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.
Instructor Details
Courses : 2
Specification: Data Science Ethics
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1 review for Data Science Ethics
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| Price | Free |
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| Provider | |
| Duration | 14 hours |
| Year | 2021 |
| Level | Beginner |
| Language | English |
| Certificate | Yes |
| Quizzes | No |
Dmytro Ivanchenko –
Course itself is interesting and definitely worth the time spent, especially if you want to know more about practical application of ethics in data science.
Lecturer, H.V. Jagadish, does a great job in delivering information and explaining topics clearly and to the point.
This course very clearly demonstrates that ethics in data science is only how being born. There are so many dark areas, where law is either absent or not consistent with modern day that it’s not even funny. That is why during the course you, from time to time, have to rely on lecturer’s interpretation of ethics. Which I was not always in agreement with.
Main conclusion that I made after the course is: while there are people that genuinely care about privacy and consequences of data science practical applications, there are not many legal stoppers that would limit information about a person being gathered, processed and used without any consent whatsoever.