Skip to main content
eNauczanie
  • Home
  • All courses
  • More
English ‎(en)‎
English ‎(en)‎ Polski ‎(pl)‎
You are currently using guest access
Log in
Home All courses
  1. Faculty of Management and Economics
  2. Full-time studies
  3. Studia I-go stopnia
  4. Psychological aspects of assessment and decision making
  5. Due 4.06.2020 - Algorithm aversion task

Due 4.06.2020 - Algorithm aversion task

Due 4.06.2020 - Algorithm aversion task

Completion requirements
Opened: Thursday, 21.05.2020, 00:00
Due: Thursday, 4.06.2020, 23:59

In two weeks, we have a class about ways in which the decision-making process can be enhanced. The possible uses of algorithms have elicited a lot of hope. We know that, in many ways, they can help us overcome our shortcomings. Simultaneously, people may tend to distrust algorithms and judge them more severely than humans when their "advice" leads to a bad decision. The term "algorithm aversion" has been coined to describe this phenomenon. As your task, I would like you to dig a bit deeper into this topic.

I would like you to enjoy a bit of flexibility in terms of specifying the exact assignment's topic. Possible options include (but or not limited to):

- How to overcome algorithm aversion?

- What are the reasons behind algorithm aversion?

- Is algorithm aversion just a contemporary version of "Luddism" and is likely to disappear soon?

- To what extent is algorithm aversion justified?

- Factors which increase and decrease algorithm aversion

You may design your own topic (but make sure it covers algorithm aversion), select one of the above, or make an amalgamation of them. Please state your topic at the beginning of the submission.

Important requirements:

- You should write the assignment yourself using sources (please do not copy and paste someone else's text)

- List the sources at the end

- It should be at least 2500 characters long, including spaces (it is not much), and there is no maximum limit

You might look at the following sources at the beginning:

https://knowledge.wharton.upenn.edu/article/how-to-convince-people-to-trust-algorithms/

https://hbr.org/2015/02/heres-why-people-trust-human-judgment-over-algorithms

https://repository.upenn.edu/cgi/viewcontent.cgi?article=1392&context=fnce_papers

◄ Assessment of others and social situation with audio commentary
Creative decision making ►

eNauczanie is a platform based on Moodle learning system, which allows both students and lecturers to learn on-line, take exams to verify their knowledge and solve interactive exercises. Modern didactic platform offers nearly 5000 courses in different faculties for more than 20 000 unique users every year.

Privacy | Terms and conditions | Accessibility

 
  • Course template
  • Information Portal about eLearning
  • eLearning Platform Support
  • Academic Calendar
  • Eduroam wireless network

Session timeout:

Copyright © 2008 - 2025 Gdańsk University of Technology IT Service Centre
Get the mobile app