Studying at York
Management in the Age of Artificial Intelligence - MAN00039I
- Department: The York Management School
- Credit value: 20 credits
- Credit level: I
- Academic year of delivery: 2024-25
Module summary
This module will explore the interplay between AI and Management. Management can be seen as an interpretive interface between technology and social systems, where it can act as an analogue for the place of humans within them.
Artificial Intelligence is potentially transformative. In the age of surveillance capitalism, the extent that organisations are not only dependent on the ability to deploy it and the attendant technologies such as data extraction, data modelling, data analysis, arbitrage and the integration of these aspects into the life of the firm are essential to our understanding of the future of work.
Module will run
| Occurrence | Teaching period |
|---|---|
| A | Semester 2 2024-25 |
Module aims
The objective of this course is to engage students in the practical, theoretical, and ethical aspects of AI in the management of 21st century organisations. The course will provide a historical context of the development of Artificial Intelligence helping students understand how we arrived at the current juncture. Building on this the course will then develop student’s understanding of AI in modern organisations through the Management lens.
Students will learn how AI, and supporting technologies, underpin activities like operations, marketing, human resources and general management of the firm. Finally the module asks students to critically engage with ethical implications of this technology and the influence on emergent different business models and the impact on society, class, and other social considerations, especially for those that are unvoiced or unable to participate.
Module learning outcomes
Through this module students will:
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Review the application of Artificially Intelligent technologies in modern management theory and practice
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Explain ethical challenges of AI in management with reference to contemporary debates such as surveillance capitalism, racism, discrimination and global inequalities in social impact
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Critically analyse applications of AI deployment for different stakeholders, propose alternative solutions and communicate them
Academic and graduate skills:
Academic – students will build analytic and evaluative skills through this module. The module will be delivered through lectures and workshops that will cover the theoretical and empirical dimensions of management in relation to Artificial Intelligence and related technology.
The emphasis will be on encouraging a thorough grounding in relevant theories management, operations, sustainability, marketing and management literatures, to understand the dynamics of AI activity in the specific contexts covered in the module. Students will have a strong understanding of the ethical and social impacts of Artificial Intelligence, especially in relation to the unvoiced and underrepresented groups within global society.
Graduate skills – the module aims to develop responsive and versatile graduates able to offer an expert perspective on management and technology. They will be able to offer potential employers a technology-specific and historically informed of Artificial Intelligence
Module content
The module may make use of documentary films as a pedagogical tool in class. Students should consider this when choosing the module. Teaching on the module will include a blend of lectures, student led group activities in workshops, whole class discussion, and presentations. Students will engage critically with relevant debates which might include: aid, trade, debt, Corporate Social Responsibility, (post) coloniality, underdevelopment, and dependency.
Indicative assessment
| Task | % of module mark |
|---|---|
| Essay/coursework | 70 |
| Oral presentation/seminar/exam | 30 |
Special assessment rules
None
Indicative reassessment
| Task | % of module mark |
|---|---|
| Essay/coursework | 70 |
| Oral presentation/seminar/exam | 30 |
Module feedback
A comprehensive module assessment report is released to students after the summer term exam board. Individual written feedback (with provisional marks) is made available to students within five weeks of submission.
Indicative reading
To be confirmed