Ethical decision making is critical in autonomous machines, such as self-driving cars and social robots. They need to follow social and behavioural norms when performing actions in order to be widely accepted into society. Currently various approaches have been developed for ethical decision making, ranging from logical reasoning to deep learning.
In this project, we will develop a formal approach to model ethical principles and an experimental platform to evaluate ethical decision making. Specifically, we will design several real-life scenarios that demonstrate different aspects of ethics and develop logical reasoning models to ensure that AI programs adhere to certain ethical principles or behavioural norms.
As a further study, we will explore an approach to this issue using the experimental cognitive robotic programming language such as Golog. It will be implemented and evaluated on one of the robot platforms in the CSE robotics lab: Softbank Nao or Toyota HSR.
How to Apply
Express your interest in this project by emailing Professor Maurice Pagnucco. Include a copy of your CV and your academic transcript(s).
School / Research Area
Computer Science and Engineering
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