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Applications and Implications of Artificial Intelligence (986G5)

15 credits, Level 7 (Masters)

Spring teaching

On this module, you'll look at applications from several broad problem domains – healthcare, environmental and societal – in which artificial intelligence methods have been and can be applied.

We will discuss:

• how such tools can be employed
• what insights and benefits they can deliver
• the challenges and pitfalls of using these with real data and communicating the results with users
• the wider implications of applying AI technologies in such contexts
• ethical issues surrounding the collection and usage of data
• other important factors for ensuring the responsible deployment of AI.

Guest lecturers from across the Â鶹´«Ã½ and industry will be invited to contribute a wide range of opinions.

 

Contact hours and workload

This module is approximately 150 hours of work. This breaks down into about 33 hours of contact time and about 117 hours of independent study. The Â鶹´«Ã½ may make minor variations to the contact hours for operational reasons, including timetabling requirements.

We regularly review our modules to incorporate student feedback, staff expertise, as well as the latest research and teaching methodology. We’re planning to run these modules in the academic year 2024/25. However, there may be changes to these modules in response to feedback, staff availability, student demand or updates to our curriculum.

We’ll make sure to let you know of any material changes to modules at the earliest opportunity.