Applications and Implications of AI (986G5)
Applications and Implications of Artificial Intelligence
Module 986G5
Module details for 2024/25.
15 credits
FHEQ Level 7 (Masters)
Module Outline
This module will introduce applications from several broad problem domains e.g., healthcare, environmental and societal, in which artificial intelligence methods have and can be applied to. We will discuss how such tools can be employed, what insights and benefits they can deliver and the challenges and pitfalls of using these with real data and communicating the results with users. We will discuss the wider implications of applying AI technologies in such contexts, ethical issues surrounding the collection and usage of data and consider other important factors for ensuring the responsible deployment of AI. Guest lecturers from across the university and industry will be invited to contribute a breadth of opinions.
Module learning outcomes
Identify where AI could be beneficial for a particular problem and the insights and benefits that they can deliver.
Evaluate and critique the appropriateness of a particular AI method for a particular problem or dataset.
Demonstrate reasonable knowledge of possible negative implications of AI methods in different applications and creatively propose mitigation strategies.
| Type | Timing | Weighting |
|---|---|---|
| Coursework | 100.00% | |
| Coursework components. Weighted as shown below. | ||
| Report | A2 Week 2 | 100.00% |
Timing
Submission deadlines may vary for different types of assignment/groups of students.
Weighting
Coursework components (if listed) total 100% of the overall coursework weighting value.
| Term | Method | Duration | Week pattern |
|---|---|---|---|
| Spring Semester | Lecture | 1 hour | 11111111111 |
| Spring Semester | Seminar | 2 hours | 11111111111 |
How to read the week pattern
The numbers indicate the weeks of the term and how many events take place each week.
Prof Kate Howland
Assess convenor
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Dr Maria Llano Rodriguez
Assess convenor
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