CMAF Friday Forecasting Talk: Human vs machine: do practitioners trust forecasting algorithms?
Friday 10 December 2021, 2:00pm to 3:00pm
Venue
onlineOpen to
Postgraduates, Prospective Postgraduate Students, Public, StaffRegistration
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Event Details
CMAF Friday Forecasting Talk
Forecasting algorithms provide a significant opportunity for forecasters to improve their accuracy. However, once people have seen an algorithm err, they are quick to abandon it. This phenomenon is known as ‘algorithm aversion’ (Dietvorst, Simmons, & Massey, 2015). However, recently, Logg, Minson, & Moore (2019) have reported the opposite effect: results from six experiments showed that people preferred the advice of an algorithm over that of a person. The authors termed this ‘algorithm appreciation’. How can these findings be reconciled? The effects of feedback and visual aids versus labels are explored and discussed.
Speaker
University of Ghent
Dr. Shari De Baets is a senior post-doctoral researcher from Belgium. She has a Msc in Industrial Pschology (KULeuven, Belgium), a PhD in Applied Economics (Ghent University, Belgium & University College London, UK) and currently works at the Operations department of the Faculty of Economics and Business Administration of Ghent University (Belgium). Her work is multidisciplinary and combines lessons from behavioural economics and decision-making with knowledge on forecasting and project manageme
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