(one case study from the module or your own chosen case study)

1. Choose one of the case studies from the module sessions or create your own case study idea
(see 4)
2. Critically reflect on the case study in relation to the themes of the module and the societal
implications of AI
3. Ensure your argument is supported by the literature introduced in the sessions and in the
reading lists
4. If you choose your own case study, this must be agreed by the module leader
[email protected]
PGT Assessment Title (MSC AI IN CREATIVE INDUSTRIES)
A critical reflection on the societal implications of the development and deployment of AI in
the creative industries.
Instructions
Incorporating existing ethical frameworks and guidelines, write a critical reflection on the ethical
implications of the development and deployment of AI within (one case study from the module or
your own chosen case study)
Guidelines -
1. Choose one of the case studies from the module sessions or create your own case study idea
(see 4)
2. Critically reflect on the case study in relation to the themes of the module and the societal
implications of AI
3. Ensure your argument is supported by the literature introduced in the sessions and in the
reading lists
4. If you choose your own case study, this must be agreed by the module leader
[email protected]
5. This essay must engage with debates about the future of responsible creative AI and
regulatory perspectives on ethical AI in creative practice (e.g. copyright).
Module Learning Outcomes
Upon completion of this module, you will be able to:
1. Engage with key concepts and debates in the ethics of AI
2. Identify the scope and diversity of ethical concerns raised by AI including algorithmic bias and
injustice, manipulation and discrimination
3. Critically evaluate the ethical implications and consequences of an AI system using use cases
from use-case domains (e.g.creative sector, health, education)
4. Demonstrate an understanding of responsible use of AI in society (at the interface with the
end users) and practice (at the interface with practitioners/ stakeholders/ actors)
5. Evaluate debates about the future of responsible AI including regulatory perspectives and
frameworks on ethical AI in practice.
Additional Learning Outcomes for MSc AI in Creative Industries Only
1. Demonstrate the connection to ethical issues that result from the employment of AI in
interactive media (at the interface with the end users) as well as creative practice (at the
interface with the creative practitioners).
2. Identify the scope and diversity of ethical concerns raised by AI in relation to creative practice
including algorithmic bias and injustice, manipulation and discrimination
3. Critically evaluate the ethical implications and consequences of an AI system or creative
process using use cases from creative domains (e.g. music, storytelling, art, games)
4. Engage in debates about the future of responsible creative AI and regulatory perspectives on
ethical AI in creative practice (e.g. copyright).
Further Summative Guidance
This is a typical written assignment. 3000 word essay (UG); 3500 word essay (PGT). Please see the
marking criteria and the summative assessment section on the VLE for more information.
Your written work may follow a structure along these lines. Feel free to use subheadings and
appropriate signposting for your marker.
• An introduction - outlining the content of the assignment and your general argument
with relevant signposting
• Detail and unpack the case study and its broader social relevance
• Discuss key debates and provide an overview of your chosen relevant framing (you
may include things like RRI/ governance/ ethical framework specific to the case study)
• Discussion of societal implications through the lens of the case study
• Conclusion
ALL supported by relevant literature, referencing and proofreading :)
Assessment Criteria
We will assess your work against the criteria shown below that align with the learning outcomes for
this module and the core criteria for your programme.

You should read these criteria alongside the level descriptors for UG
(https://docs.google.com/document/d/1rGzhdnLETrpbJhGDd_Sd8U8zi51M7dP5/edit) and the level
descriptors for PG (https://docs.google.com/document/d/1K3qm_4eqErdvCep97a8AirkppX-
XUsThXzPvwPc7PMI/edit?usp=sharing) that indicate how you have performed against the
assessment criteria. We will use these descriptors to give you feedback on your work, showing where
you have done well and where you can improve. To learn more about how we mark your work, see
your programme handbook in the Key Departmental Information Document inside the Module
Information folder.
See the Assessment & Feedback guide (https://subjectguides.york.ac.uk/academic-
writing/assessment) for help with interpreting and understanding assessment criteria and using
feedback to improve your writing.
Format and presentation
All work must be typed. The margins must be at least 2.5cm/1 inch. The font size must be equivalent
to Arial 11 or Times New Roman 12. The main text must have 1.5 spacing between the lines, but
single-spacing is acceptable for long indented quotations. Pages must be numbered. The text need
not be right justified. The work must be very carefully spell-checked and proofread.
The Sociology Department uses the Harvard referencing system. You must ensure that you reference
all your work correctly. (See useful resources below)
Exceptional circumstances affecting
assessment
Sometimes things happen that can seriously impair your performance in an assessment or prevent
you undertaking the assessment at the scheduled time. If these events are unforeseeable and
exceptional (ie serious and unusual) you may be able to defer an assessment or take it again.
Find out more about claiming exceptional circumstances and self-certification.
(https://www.york.ac.uk/students/studying/progress/exceptional-circumstances/)
Student Support Plans (SSPs)
Students with long-term health conditions or disabilities can request a Student Support Plan (SSP).
Some SSPs allow for occasional coursework extensions or exam deferrals. This process is separate to
exceptional circumstances or self-certification (see above).
Find out more about accessing support and Student Support Plans (SSPs)
(https://www.york.ac.uk/students/support/disability/accessing-support/).
When your assessment is due
Make sure to leave yourself enough time to deal with any technical issues and submit your
work before the deadline.
To find out when your assessment is due, please see the Sociology department's assessment hand-in
dates - UG
(https://docs.google.com/document/d/1edIfb5Yqmc_vUh7dmykMLrbrfPm6vyeIizWaDHBUjfk/view),
and Sociology department's assessment hand-in dates - PG
(https://docs.google.com/document/d/1q1prDwXdAhVNmBwM8FW2ZA8WepSmDn2H_vj4mds6-
vw/view)
For students taking modules in different departments:
Education department's assessment hand-in dates
(https://docs.google.com/spreadsheets/d/1s5vd2p1nfrPAcHC_GKWurvUUNQMy_bEVYLjEqtU50nM/ed
it#gid=1776260480)