11162 |
YOUNEI SOE |
TuTh 9:45-11:05 am |
HU 108 |
THIS CLASS MEETS FOR THIRTEEN WEEKS
Every day, billions of people interact with information technologies on the internet and
contribute to a world of valuable information. But the human brain simply cannot fathom
the quantity of data generated daily. The term “big data” refers to data that is so large, fast,
or complex that it’s difficult or impossible to process using traditional methods. We are
living in a historic moment where big data and artificial intelligence are shaping many parts
of society, and automated society is on the not-so-distant horizon. Therefore, we must
make such technologies compatible with the core human values. In organizational settings,
the focus on big data in society should look beyond the extraordinary volume of information
in order to assess the value that organizations can extract from such data. This course was
featured in the Indiana University Journal of Undergraduate Research:
Learning what the buzzwords mean: Big data and AI in the Hutton Honors College
In this seminar-style, discussion-oriented course, students will learn to think and decide on
their own in the likely future scenarios that involve data-related, potentially ethically
challenging situations. With that goal in mind, this course introduces students to new social
and ethical challenges arising from the use of data in various work contexts. Topics include
Big data uses in healthcare, education, business, law enforcement (e.g., predictive
policing), and politics (e.g., microtargeting). The course also provides students with an
understanding of the moral roles/rules and ethical dilemmas involved in the uses of big
data. We will discuss various technical and societal approaches to tackling such challenges.
By the end of this course, students will understand the following:
- The role of big data in organizational decision-making
- How the integration of big data is changing the culture, structure, and work practices of
complex organizations - Social, political, legal, and organizational impacts of big data
- How to develop mature stances regarding big data ethics