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• Supplement | HBS Case Collection | July 2019

  Lexoo: Building a Long-Lasting Platform Video Supplement

  Chiara Farronato and Elena Corsi

  Citation:

  Farronato, Chiara, and Elena Corsi. "Lexoo: Building a Long-Lasting Platform Video Supplement." Harvard Business School Multimedia/Video Supplement 620-701, July 2019.  View Details

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• Article | Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society

  How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness

  Nripsuta Saxena, Karen Huang, Evan DeFilippis, Goran Radanovic, David C. Parkes and Yang Liu

  What is the best way to define algorithmic fairness? While many definitions of fairness have been proposed in the computer science literature, there is no clear agreement over a particular definition. In this work, we investigate ordinary people’s perceptions of three of these fairness definitions. Across two online experiments, we test which definitions people perceive to be the fairest in the context of loan decisions, and whether fairness perceptions change with the addition of sensitive information (i.e., race of the loan applicants). Overall, one definition (calibrated fairness) tends to be more preferred than the others, and the results also provide support for the principle of affirmative action.

  Keywords: Fairness; Decision Making; Perception; Attitudes; Public Opinion;

  Citation:

  Saxena, Nripsuta, Karen Huang, Evan DeFilippis, Goran Radanovic, David C. Parkes, and Yang Liu. "How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness." Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society 2nd (2019).  View Details

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• Article | Journal of Consumer Psychology

  The Feeling of Not Knowing It All

  Haiyang Yang, Ziv Carmon, Dan Ariely and Michael I. Norton

  How do consumers assess their mastery of knowledge they have learned? We explore this question by investigating a common knowledge consumption situation: encountering opportunities for further learning. We argue and show that such opportunities can trigger a feeling-of-not-knowing-it-all (FONKIA), which lowers consumers’ confidence in their mastery of the knowledge they already possess. Specifically, listing optional follow-up readings at the conclusion of a course lowered students’ confidence in their mastery of the course material they had already learned (Study 1). Encountering an optional learning opportunity increased the FONKIA, which mediated the decreased confidence (Studies 2 and 3). We also document two moderators consistent with our conceptualization. First, participants primed with mastery (vs. instrumental) motivation were more negatively impacted when they encountered optional learning opportunities. Second, the more related the optional opportunities were to the target topic, the lower participants’ confidence in their mastery of what they had already learned. We conclude by discussing the implications of these findings, such as encouraging further learning or harming teaching evaluations.

  Keywords: Knowledge consumption; Consumption of learning; Judgment of knowledge; Feeling ofknowing; Confidence in knowledge; WYSIATI; FONKIA; Knowledge Acquisition; Learning; Perception;

  Citation:

  Yang, Haiyang, Ziv Carmon, Dan Ariely, and Michael I. Norton. "The Feeling of Not Knowing It All." Journal of Consumer Psychology 29, no. 3 (July 2019): 455–462.  View Details

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