Artificial Intelligence and Policies for (996N1)
Artificial Intelligence and Policies for Technological Revolutions
Module 996N1
Module details for 2023/24.
15 credits
FHEQ Level 7 (Masters)
Module Outline
The module examines policies and strategies for dealing with radical technical change, focusing on Artificial Intelligence (Al). Concepts from innovation studies are introduced to define the nature and boundaries of 'radical innovation'. The concepts of Long-waves, Macro-inventions, Techno-economic paradigms, General- purpose Technologies and diffusion, are examined for their policy and strategy implications. Insights from the history of ICT, together with recent developments on bioinformatics and outer-space exploration are discussed to identify commonalities and differences among radical changes and their implications for energy, information and goods and services production and distribution.
Module learning outcomes
Build on an extensive knowledge of the nature of Artificial Intelligence as Radical Technical Change to engage in high-profile research and work related to the topic
Navigate with confidence among the definitional nuances of different types of radical innovations
Gain an advanced knowledge of the common patterns generated in the economy and the society by the introduction and diffusion of radical technologies
Display an advanced understanding of the trade-offs and policy options to govern artificial intelligence and radical technical change
| Type | Timing | Weighting |
|---|---|---|
| Coursework | 25.00% | |
| Coursework components. Weighted as shown below. | ||
| Project | T2 Week 11 | 100.00% |
| Take Away paper | Semester 2 Assessment | 75.00% |
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 | 2 hours | 11111111111 |
| Spring Semester | Seminar | 2 hours | 01010101001 |
How to read the week pattern
The numbers indicate the weeks of the term and how many events take place each week.
Prof Chirantan Chatterjee
Convenor, Assess convenor
/profiles/535606
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