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.

• This course will meet live via Zoom on Monday, Wednesday and Friday for week one and Monday, Wednesday and Thursday for week two. All live lectures begin at 12:30 and will last around 2,5 hours (with a break included). Do you live outside of Europe? Calculate the time of the live sessions for your time zone.
• A preparatory assignment will be due on Friday 17 January 2025, before the programme starts. 
• Students will also complete in-course assignments and a final paper due roughly one month after the course ends.
• Looking for more information? Visit our practical matters page to find out more. 

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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