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Big Data, Artificial Intelligence, and Ethics

This course gives you context and first-hand experience with the two major catalyzers of the computational science revolution: big data and artificial intelligence. With more than 99% of all mediated information in digital format and with 98% of the world population using digital technology, humanity produces an impressive digital footprint. In theory, this provides unprecedented opportunities to understand and shape society. In practice, the only way this information deluge can be processed is through using the same digital technologies that produced it. Data is the fuel, but machine learning it the motor to extract remarkable new knowledge from vasts amounts of data. Since an important part of this data is about ourselves, using algorithms in order to learn more about ourselves naturally leads to ethical questions. Therefore, we cannot finish this course without also talking about research ethics and about some of the old and new lines computational social scientists have to keep in mind. As hands-on labs, you will use IBM Watson?s artificial intelligence to extract the personality of people from their digital text traces, and you will experience the power and limitations of machine learning by teaching two teachable machines from Google yourself.

Created by University of California, Davis


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What you’ll learn


From this learning opportunity you may gain confidence with the compentencies demanded by organizations today. The most relevant technique in the educational resource that is often included from companies is Data Analysis. The most relevant tool is Watson. You will also find out about Programming Skills, a trait often included in job descriptions.

Who will benefit?


Contrasting the description from this educational opportunity with nearly 10,000 data-related job postings, we determine that those in or pursuing Data Scientist roles would benefit the most.