Artificial intelligence (AI) is transforming the way we work in various organisations and across industries. AI-systems are implemented to replace many low skilled and unskilled jobs previously undertaken by human employees, to decrease workload, increase efficiency, and assist employees with decision making. As the intelligence level of machines increases, collaboration between human employees and AI systems becomes more common and interdependent. Consequently, the role of the AI changes, transforming from a technology used as a tool to full team members. Team collaboration between human employees and AI systems may unfold differently compared to all-human teams. Employees are gradually facing a more competitive working environment, not only competing with other human work colleagues, but also with AI systems as new team members.
To successfully implement human-AI teams in organisational settings, it is critical to understand how employees adapt to new collaborative settings and how human employees should be protected from AI-augmented workplace. This PhD project will aim to investigate how to support human employees working alongside AI or in algorithmically managed workplaces in order to promote their career growth.
This project is open to UK and international students starting in October 2022.
Find out more about the Surrey Institute for People-Centred AI (PAI).
Supervisors: Dr Erin Ling, Professor Iis Tussyadiah, Prof Adrian Hilton.
All applicants should have (or expect to obtain) a first-class degree in a numerate discipline (mathematics, science or engineering) or MSc with Distinction (or 70% average) and a strong interest in pursuing research in this field. Additional experience which is relevant to the area of research is also advantageous.
English language requirements: IELTS Academic, 6.5 or above (or equivalent) with 6.0 in each individual category.
How to apply
Applications should be submitted via the Vision, Speech and Signal Processing PhD programme page on the "Apply" tab.
Please state clearly the studentship project that you would like to apply for and the name of your intended supervisor.