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A practical approach to the ethical use of Generative AI in Education.pdf
1. 1
A practical approach to the ethical use of
GenAI in Higher Education
Dr Henrietta Carbonel, EDUDL+
Image:
Gerd
Altmann
https://pixabay.com/illustrations/binary-
code-digitization-binary-6109177/
2. 2
What I will be talking about:
â–ª Taxonomy for the ethical use of GenAI in higher education
â–ª What does it mean to take an ethical approach to GenAI?
â–ª A framework to help teachers, instructional designers, or higher ed
leaders to think through the impact of GenAI in specific use cases
4. Ethical dimensions for
existing frameworks:
• Privacy and data governance
• Societal, individual, and environmental
wellbeing
• Teacher and student agency and oversight
• Diversity, non-discrimination, and fairness
• Accountability
• Transparency
• Technical robustness and safety
Åženocak, D., Bozkurt, A., & Kocdar, S. (2024). Exploring the Ethical Principles for
the Implementation of Artificial Intelligence in Education: Towards a Future
Agenda (pp. 200–213). https://doi.org/10.4018/979-8-3693-1351-0.ch010
8. 8
When thinking about ethics ...
Four levels of moral discourse
Aiken, H. D. (1952). The Levels of Moral Discourse. Ethics, 62(4), 235–248.
https://doi.org/10.1086/290845
Follow established
moral rules, duties or
principles, regardless
of the outcomes.
Immanuel Kant
The end justifies the
means.
Jeremy Bentham and John
Stuart Mill
9. 9
A framework to think through the use of Gen AI in education
Based on Hardebolle C., Macko, V., Ramachandran, V., Holzer, A., & Jermann, P. (2023). Digital Ethics Canvas: A Guide For Ethical Risk Assessment And Mitigation In
The Digital Domain. https://doi.org/10.21427/9WA5-ZY95
10. Context :
I am thinking of using Generative AI (GenAI) to …
This will allow me to …
It will allow my students to …
A canvas to think through the use of
Generative AI in education
Jean-Michel Jullien & Henrietta Carbonel @ unidistance.ch
11. Educational Impact and Integrity
• Does your use of GenAI support your pedagogical approach?
• Is there evidence that the GenAI system is supporting learning as intended? Can the technology do what is expected of it?
• How is the effectiveness and impact of the AI system being evaluated and how does this evaluation consider key values of education? Does the evaluation include
the effect on the role of teachers, mental health, social interactions, etc.?
• Is it a problem that GenAI is not trustworthy? Should students be able to check and evaluate the sources?
• Is GenAI used in a way that upholds the values of academic integrity such as honesty, trust, fairness, respect, and responsibility? Does the technology respect
intellectual property, cite its sources and avoid plagiarism?
• What role is foreseen for the teacher, the institution, and students when the AI system is used?
• What do we risk losing through the use of AI systems?
Risks Mitigation
12. Privacy and Data Governance
• Does the suggested use of GenAI comply with the GDPR, the AI Act and
Intellectual Property Rights?
• Is it possible to customise the privacy and data settings?
Risks Mitigation
13. Societal, Individual, and Environmental Wellbeing
• GenAI has a strong environmental impact and is expensive, does its use add to
the learning experience something that could not be done otherwise?
• What negative effect may this use of GenAI have on society or the individual?
Risks Mitigation
14. Teacher and Student Agency and Oversight
• Are teachers and students equipped with the necessary digital and AI literacy skills to make informed
decisions?
• Is the teacher free to decide whether to use the GenAI technology or not in their module? Is there a
mechanism for learners to opt-out without being at a disadvantage?
• Are procedures in place for teachers to monitor and intervene, for example in situations where empathy is
required when dealing with learners?
• Does the GenAI system empower learners and teachers?
Risks Mitigation
15. Diversity, Non-discrimination, and Fairness
• Is the technology accessible to everyone in the same way, without barriers? E.g.: governmental regulations,
limited internet access, insufficient infrastructure, disabilities or special education needs.
• What biases are present in the training data? Including cultural biases, marginalised groups, language, etc.
• Are we diminishing the quality of education for certain groups? Are AIED systems biased against some
groups, or are some groups being ignored? What impact could the biases have on the learners?
• Are procedures in place to detect and deal with biases or inequalities that may arise?
Risks Mitigation
16. Accountability
• Is there a Service Level Agreement in place, clearly outlining the support and
maintenance services, responsibilities, and steps to be taken to address reported
problems?
• Who is responsible if something goes wrong?
• Is there an easy route for complaints or redress?
Risks Mitigation
17. Transparency
• Is the data-set used for training known? Is the system's model visible and
inspectable in a way that can be understood by teachers and students?
• Was the AI system designed and implemented in such a way that it offers clear
justifications for every action it takes?
• If there is no or limited transparency in how the technology works, what
implications does this have for teaching and learning?
Risks Mitigation
18. Technical Robustness and Safety
• Is there sufficient security in place to protect against and monitor data breaches
and data poisoning? Is there a contingency plan in case of accident?
• Are there regular checks to ensure the correct functioning of the system?
• What happens if the technology is no longer available?
Risks Mitigation
19. 19
Should I use GenAI in my course as planned? What mitigations
measures could I take to ensure a positive learning
experience?
20. 20
Using the framework in practice
â–ª For individuals new to AI or experienced
â–ª For teachers planning to use GenAI in their courses
â–ª For management developing policies or looking to evaluate the
potential use of GenAI in their institution
â–ª For teachers new to GenAI (include more background information on
the training of GenAI and how it works)
â–ª For students studying education
21. 21
Danke für die Aufmerksamkeit!
Merci pour votre attention !
Thank you for your attention!