On Monday, September 30, 2024, Dr. Duygu Gulseren, Assistant Professor of the School of Human Resource Management at 91亚色, presented her talk, 鈥淯nveiling Inconsistent Leadership: New Perspectives on Measurement and Impact鈥澨�at the SP Colloquium Brownbag.

You can find more information about Dr. Gulseren's work and her abstract below:

Abstract:听

Inconsistent leadership is a critical and potentially disruptive form of leadership that significantly impacts employee behaviors and well-being. Traditionally, the concept of inconsistent leadership has been examined through indirect measures, which often emphasize the interplay of various leadership styles and contribute to construct ambiguity. This approach has complicated our understanding of its specific effects on employees.

In this talk, I will present initial results from a study aimed at clarifying the construct and developing a scale for inconsistent leadership. In the first part, I will discuss how our study has identified two distinct factors of inconsistent leadership and provide evidence of their validity. In the second part, I will outline two ongoing studies that build on these findings. These are a longitudinal survey exploring the long-term effects of inconsistent leadership on employee outcomes and a series of an experimental investigations examining the immediate impacts of inconsistent leadership in organizational settings, focusing on employee reactions and interactions. Overall, this talk offers new insights into the nature of inconsistent leadership and its implications for employee outcomes.

On Monday, November 20, 2023, Dr. Regina Rini, Associate Professor of Philosophy at 91亚色, presented her talk "Morals from Machines" at the SP Colloquium Brownbag.

You can find more information about Dr. Rini's work and her abstract below:

Abstract:

Morals from Machines

Should you turn to a computer program for advice when you face a difficult moral decision? That sounds absurd. But artificial intelligence has done a lot of surprising things lately. Perhaps most surprising of all: it seems to be able to implement the ethical theory of John Rawls, one of the most influential philosophers of the 20^th century. This talk will discuss the Delphi language model, which predicts moral judgments about novel situations based upon machine-learned patterns in actual human moral judgment. I will connect computer science, psychology, and moral philosophy.

Regina Rini holds the Canada Research Chair in Social Reasoning and is Associate Professor of Philosophy at 91亚色. Her research focuses on how we navigate shifting norms in public life, particularly in response to technological disruption. Among other topics, she has written about the effects of social media on democratic politics and the significance of machine learning to moral life. In addition to her academic work, she writes the regular 鈥楳orals of the Story鈥� column for the Times Literary Supplement. Her most recent book is The Ethics of Microaggression, and she is currently writing a book about certainty and doubt in political life.