Francesco Toni and
Christian Vezil are glad to invite you to the fourth meeting of the
Journal Club: “
Algorithmic trust”.
The meeting will take place on on Thursday, March 20th, at 11:00 AM in the Picasso Room.
The session will consist of a 30-minute presentation, followed by a 30-minute open discussion. Please note that this session will be held exclusively in person.
PhD students in Economics will be at the heart of this initiative, presenting papers that have significantly influenced their research areas. We encourage presentations on all Economics fields, including but not limited to Econometric Methods, Environmental Economics, Industrial Dynamics, Innovation, and Macroeconomics. While PhD students will lead the presentations, we warmly invite faculty members to attend and contribute their valuable expertise and insights to the discussions.
For this session,
Mathieu Chevrier will present the paper “
Algorithm Aversion: People Erroneously Avoid Algorithms After Seeing Them Err” by Berkeley J. Dietvorst, Joseph P. Simmons, and Cade Massey. As a complementary perspective, we will also discuss “
Algorithm appreciation: People prefer algorithmic to human judgment” by Jennifer M. Logga, Julia A. Minsona, Don A. Moore. The abstracts are provided below for your reference.
Algorithms are increasingly shaping decision-making in fields ranging from finance and medicine to hiring and social media. But how do people respond when algorithms make mistakes—or even outperform human judgment? Whether you’re working in AI, behavioral science, or simply curious about human decision-making, this discussion will offer valuable insights into the psychology behind algorithmic trust.
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MAIN PAPER 1: “Algorithm Aversion: People Erroneously Avoid Algorithms After Seeing Them Err” by Berkeley J. Dietvorst, Joseph P. Simmons, and Cade Massey.
MAIN PAPER 2: “Algorithm appreciation: People prefer algorithmic to human judgment” by Jennifer M. Logga, Julia A. Minsona, Don A. Moore.
As a reminder: The sessions consist of a 30-minute presentation, followed by a 30-minute open discussion. Please note that this session will be held exclusively in person.
PhD students in Economics are at the heart of this initiative, presenting papers that have significantly influenced their research areas.
We encourage presentations on all Economics fields, including but not limited to Econometric Methods, Environmental Economics, Industrial Dynamics, Innovation, and Macroeconomics. While PhD students lead the presentations, we warmly invite faculty members to attend and contribute their valuable expertise and insights to the discussions.
If you have any questions, don't hesitate to reach out to Francesco and Christian !