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Jamie L Gloor is an experienced, international researcher, educator and mentor. She is American born but currently resides in Zurich, Switzerland. Her research interests focus on individual and organizational health, including publications on diversity and leadership and research experience at prestigious universities across four different continents.
Exciting news, research, updates, & events!
Filtering by Tag: AI
Together with Lauren Howe, David De Cremer, and Sam Yam, we explore these questions–and more–in this thought piece on how “soft skills” such as humor–often touted as exclusively human skills for future workers–may power robots’ rise into leadership roles. (See here in The European Business Review).
Tune-in here for our recent session on AI & Leadership at Applied Machine Learning Days.
Thanks again for the invitation, Marisa Tschopp and Simon Schafheitle. So much fun and food for thought!
For the most up-to-date information on speakers, time tables, and conference submissions, see *HERE*.
Join us in Lausanne for our “AI & Leadership” track on Monday, January 27 (1:30-5PM).
I’ll present at 2:40 about why soft skills such as humor are still–if not even more–important than ever, with applications to robot leadership and AI in hiring/recruitment processes.
Get your tickets here TODAY for our track and others, including keynotes from Edward Snowden.
A great group of (mostly) computer scientists welcomed me with open arms last week for a conference on women in big data in Zurich. I met an interdisciplinary group of fellow UZH scholars Carolin Strobl (Psychology), Anne Scherer (Marketing), and Sarah Petchey (Natural Science) as well as many new faces from ETH, Europe, and beyond! I learned a lot about Artifical Intelligence (AI), algorithms, and machine learning from some of the programmers themselves; we also discussed some of the ethical and policy implications for fairness, gender equality, and more!
I left with new knowledge, ideas, contacts, and even some bling! Below is an absolutely appropriate button for the event given to me by Caitlin Kraft-Buchmann, founder and CEO of Women at the Table, who gave an inspiring, evidence-informed keynote on Affirmative Action for Algorithms.
I also gave a 90-second madness talk (in true “science slam” form: it all rhymed!) highlighting my interests in AI in hiring from the employee perspective, including key examples from practice such as Amazon and Unilever, touching on some work by my University of Basel colleague, Gwendolin Sajons (Business).
Here’s more information if you’re interested in the full program and/or the Twitter moment (including images from the event).
