Learner understands what heuristics are and what are the advantages and disadvantages of heuristics.
Learner understands bounded rationality.
Learner understands what (cognitive) biases are and how they arise.
Learner assess the role that biases can play in making unethical decisions, and what you can do to counteract this.
Expected Preparation
Learning Events to be Completed Before
None.
Obligatory for Students
Ehrlinger, Joyce, Wilson O. Readinger, and Bora Kim. "Decision-making and cognitive biases." Encyclopedia of mental health 12.3 (2016): 83-87. [1]
Albar, F. M., & Jetter, A. J. (2009, August). Heuristics in decision making. In PICMET'09-2009 Portland International Conference On Management Of Engineering & Technology (pp. 578-584). IEEE.
Optional for Students
Prentice, R.A. (2007). Ethical Decision Making: More Needed Than Good Intentions. Financial Analysts Journal, 63(6), 17-30.
The materials of this learning event are available under CC BY-NC-SA 4.0.
Instructions for Teachers
The following topics should be covered:
Understanding human decision-making and its limits.
Understanding human ethical decision-making and its limits.
Depending on the lecture format, students should be invited to interact with the topic. It is suggested to either discuss the following questions plenary, or in small student groups:
For several cognitive biases, think about a practical example in daily life.
Linking with AI: For each of these biases, think of an example how the biases is relevant for the design, development, or application of AI.
Please visit the home page of the consortium HCAIM
Acknowledgements
The Human-Centered AI Masters programme was co-financed by the Connecting Europe Facility of the European Union Under Grant №CEF-TC-2020-1 Digital Skills 2020-EU-IA-0068.
The materials of this learning event are available under CC BY-NC-SA 4.0
The HCAIM consortium consists of three excellence centres, three SMEs and four Universities
