Ethics of Emerging Technologies
Module title | Ethics of Emerging Technologies |
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Module code | PHL2125 |
Academic year | 2023/4 |
Credits | 15 |
Module staff | Dr Silvia Milano (Convenor) |
Duration: Term | 1 | 2 | 3 |
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Duration: Weeks | 11 |
Number students taking module (anticipated) | 24 |
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Module description
From virtual reality to autonomous robots, and from pervasive digital surveillance to the algorithmic outsourcing of decisions across many domains, emerging technologies are revolutionising the way we live. This module will offer an opportunity to explore new and cutting-edge philosophical work on the ethical issues this raises.
Some of the authors of the weekly readings may be invited to discuss their work, giving students an opportunity to meet and interact with them directly. There are no pre-requisites for this module. Given this module’s focus on the interfaces between emerging technologies and ethics, it is suitable for non-specialist students with a keen interest in philosophy, and for interdisciplinary pathways.
Module aims - intentions of the module
- You will learn to identify and critically assess ethical issues raised by emerging technologies and critically engage with philosophical work in this area.
- You will learn research skills in both self-motivated and group contexts.
- You will develop core philosophical skills such as critical reflection, argumentation and clarity of expression.
- Examining recent and forthcoming work will help you to cover new research methods and trends, and to understand the relevance of interdisciplinary inputs in philosophical research, and how to situate philosophical work within its disciplinary context.
Intended Learning Outcomes (ILOs)
ILO: Module-specific skills
On successfully completing the module you will be able to...
- 1. Demonstrate familiarity with current work on ethics of emerging technologies.
- 2. Demonstrate an acquisition of knowledge of different ethical issues connected to new technological advancements.
ILO: Discipline-specific skills
On successfully completing the module you will be able to...
- 3. Understand and engage with philosophical arguments.
- 4. Problematise and assess philosophical implications of interdisciplinary issues.
ILO: Personal and key skills
On successfully completing the module you will be able to...
- 5. Develop clear and concise written and oral communication skills.
- 6. Demonstrate comprehension of complex ideas and writing.
Syllabus plan
Whilst the precise content may vary from year to year, it is envisaged that the syllabus will cover all or some of the following topics:
- Autonomous robots and attributions of responsibility.
- Value alignment and safety in the quest for general artificial intelligence.
- Privacy and digital surveillance.
- Can fairness be automated?
- Algorithmic decisions and the right to an explanation.
- Machine learning and epistemic justice.
- The economic and environmental impacts of emerging technologies.
Learning activities and teaching methods (given in hours of study time)
Scheduled Learning and Teaching Activities | Guided independent study | Placement / study abroad |
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22 | 128 | 0 |
Details of learning activities and teaching methods
Category | Hours of study time | Description |
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Scheduled Learning and Teaching Activities | 22 | 11 x 2 hours per week comprising of lectures and seminars |
Guided Independent Study | 48 | Reading and Research |
Guided Independent Study | 38 | Preparation and writing of essay |
Guided Independent Study | 20 | Preparation for seminar presentation |
Formative assessment
Form of assessment | Size of the assessment (eg length / duration) | ILOs assessed | Feedback method |
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Reading reports | 4 reports x 150 words | 1-6 | Oral |
Summative assessment (% of credit)
Coursework | Written exams | Practical exams |
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70 | 0 | 30 |
Details of summative assessment
Form of assessment | % of credit | Size of the assessment (eg length / duration) | ILOs assessed | Feedback method |
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Essay | 70 | 2000 words | 1-6 | Written |
Presentation | 30 | 10 minutes | 1-6 | Written |
Details of re-assessment (where required by referral or deferral)
Original form of assessment | Form of re-assessment | ILOs re-assessed | Timescale for re-assessment |
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Essay | 2000 words essay | 1-6 | August/September reassessment Period |
Presentation | 10 minutes presentation | 1-6 | August/September reassessment Period |
Indicative learning resources - Basic reading
- Noble, Safiya Umoja (2018). Algorithms of Oppression: How Search Engines Reinforce Racism. NYU Press.
- Vallor, Shannon (ed.) (forthcoming). Oxford Handbook of Philosophy of Technology. Oxford University Press.
- Véliz, Carissa (2021). Privacy is Power: Why and how you should take back control of your data. Corgi.
- Williams, James (2018). Stand Out of Our Light: Freedom and Resistance in the Attention Economy. Cambridge University Press.
- O’Neil, Cathy (2017). Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. Penguin.
Credit value | 15 |
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Module ECTS | 7.5 |
Module pre-requisites | None |
Module co-requisites | None |
NQF level (module) | 5 |
Available as distance learning? | No |
Origin date | 01/01/2022 |
Last revision date | 29/07/2022 |