Artificial Intelligence (AI) is the study and development of software and hardware systems that perform intelligent tasks.
Many approaches are used in AI to do this. Some 'hard code' the intelligence directly into the system using logic and rules. Others use learning-based approaches ('machine learning') in which the system is taught how to perform the task by being given examples often presented in the form of large data sets.
In recent years, AI, and in particular, machine learning has been successfully deployed across a wide range of applications. The AI and Data network brings together researchers from across the university who are developing and applying new AI technologies in a number of different areas, including computing, robotics, business, healthcare, surgery, law, engineering, psychology, philosophy and bioinformatics.
The AI and Data network also underpins the Institute for Ethical AI which seeks to develop ethical and trustworthy intelligent software solutions for business, organisations and society.
The institute draws on a broad range of expertise from across the university, including technology, science, business, law and the social sciences to offer hands-on, practical advice and support to organisations seeking to maximise the benefits of AI and data analysis to organisations, their employees and customers, and to society as a whole.
Mission
To foster a collaborative and interdisciplinary community of researchers and practitioners, dedicated to identifying and seizing opportunities for knowledge creation and exchange in the fields of AI and advanced data analysis
Vision
To become a pioneering and leading hub at the forefront of AI and data analytics, actively developing a conceptual and practical interface for diverse fields, disciplines, and applications for transformative impact
Who we work with
AIDAN primarily focuses on building collaborations with both local and national partners. While our current focus is on local and national partnerships, we remain open to exploring opportunities for international collaborations in the future to further enrich our network and promote global knowledge exchange.
