Organisations are increasingly deploying AI technologies to run their everyday business. This technological shift is creating a new workplace where changes are occurring as to how humans interact, perform, and make decisions at work. But what do we really know about this from a scientific perspective? In this two-week course, we will dive deep into social scientific and evidence-based research to unpack how intelligent technology is impacting human experiences and outcomes in the organisational context. We explore the opportunities and challenges of using AI in organisations to better situate ourselves in a rapidly changing world.
Mode of instruction: | Online (2 weeks) |
Academic dates: | Monday 20 January - Friday 31 January 2025 |
Academic fees: | €875 read more about what is included. |
Credits: | 4 European Credits. Read more about credits and credit transfer. |
Winter course admission deadline: | Wednesday 18 December 2024 |
This programme is for working professionals and graduate students who wish to understand the science underlying core dimensions of human-AI interaction. People from diverse backgrounds are encouraged to apply. However, please note that this course will use social scientific theory, research and ideas. Prior familiarity with social sciences and/or research will be helpful to participants for navigating this course.
Human interaction with intelligent technology is increasingly commonplace in modern and digital organisations. Workers in diverse fields from healthcare to education are expected to interact with AI technology and automated tools in order to make decisions and perform their jobs. However, many organisations and their management and workers do not know and understand how intelligent and automated technologies impact their everyday interactions, performance, and decision-making.
In this course, we will do an in-depth review of social scientific research that has emerged in the past decade on how human-AI interaction impacts human experiences. To that end, the course will focus on two domains as applied to organisational settings: human-AI interaction and human-AI decision-making. Specifically, the course will cover topics such as the acceptance of AI advice on humans, trust and overtrust in AI, communication with machines, and impact of AI in human teams.
The goal of this course is to equip the participants with evidence and scientific knowledge on how technology is changing the way we work and what the opportunities and challenges are for organisations today and the near future.
Dr. Sonia Jawaid Shaikh is a social scientist who works on how technology impacts human interaction and decision-making across various organizational and social contexts. She earned a doctorate in communication science from the University of Southern California (2020). Previously, she was the George Gerbner Fellow at the University of Pennsylvania and a consultant for the World Bank.
Her research has been funded by several fellowships, the Fulbright program, and Microsoft Research. She is currently an Assistant Professor at the University of Melbourne.
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