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Ethical AI Systems Design
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In this video I will draw upon the work of Dr David Leslie to explore the ethics of systems design. The aim is to help you consider why ethical AI design is important and what processes and approaches you should adopt when creating AI based systems.
This video draws on the following source:
Leslie, D. (2019). Understanding artificial intelligence ethics and safety: A guide for the responsible design and implementation of AI systems in the public sector. The Alan Turing Institute.
TIMECODES:
0:00 – Introduction
1:06 – Why is ethical AI design important?
2:54 – Being aware of potential AI harms
3:51 – Risk 1: Bias and Discrimination
4:50 – Risk 2: Denial of individual autonomy, recourse and rights
5:49 – Risk 3: Non-transparent, unexplainable or unjustifiable outcomes
6:45 – Risk 4: Invasion of privacy
7:42 – Risk 5: Isolation and disintegration of social connection
8:32 – Risk 6: Unreliable, unsafe or poor quality outcomes
9:18 – The building blocks of a responsible AI project
10:04 – SUM Values
10:42 – FAST Track Principles
11:25 – PBG Framework
12:12 – Putting it into practice
12:47 – Summary
LINKS TO RELATED VIDEOS:
AI transparency in academic work
How to write AI use statements in learning and assessment
How to use AI in your teaching (PAIR Framework)
How to reference ChatGPT in your assignments
Should we assess students on product or process in the age of GenAI?
Navigating Ethical AI: 5 Essential Lessons for Practitioners
Ethical AI in Health and Social Care: 4 key approaches
How to use an AI Tutor
ChatGPT: how it can boost your academic writing
Unlocking the Power of AI for Personalised Learning
Harnessing the Power of AI: Applying Supervision Research in Real-world Scenarios
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5 ChatGPT prompts to organise your study routines and save time
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How I used ChatGPT to create learning designs based on my research
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From theory to practice: teaching AI ethics using Tome AI in class
LINKS TO RESEARCH
Chan, C. K. Y. (2023) A Comprehensive AI Policy Education Framework for University Teaching and Learning.
International Journal of Educational Technology in Higher Education 20 (1): 38. doi:10.1186/s41239-023-00408-3.
Cotton, D. R. E., Cotton, P. A., and Shipway, J. R. (2023) “Chatting and Cheating: Ensuring Academic Integrity in the Era of ChatGPT.” Innovations in Education and Teaching International. doi:10.1080/14703297.2023.2190148.
Luo, J. (2024) A critical review of GenAI policies in higher education assessment: a call to reconsider the “originality” of students’ work , Assessment & Evaluation in Higher Education, DOI: 10.1080/02602938.2024.2309963
Rudolph, J., Tan, S. and Tan, S. (2023) ChatGPT: Bullshit Spewer or the End of Traditional Assessments in Higher Education? Journal of Applied Learning and Teaching 6 (1): 1–22. doi: 10.37074/jalt.2023.6.1.9.
Sullivan, M., Kelly, A. and McLaughlan, P. (2023) ChatGPT in Higher Education: Considerations for Academic Integrity and Student Learning. Journal of Applied Learning & Teaching 6 (1): 1–10. doi: 10.37074/jalt.2023.6.1.17.
Yan, L., L. Sha, L., Zhao, Y., Li, R., Martinez-Maldonado, G., Chen, X., Li, Y., Jin, and D. Gašević. (2023) Practical and Ethical Challenges of Large Language Models in Education: A Systematic Scoping Review. British Journal of Educational Technology 55 (1): 90–112. doi:10.1111/bjet.13370.
WHO AM I:
This video draws on the following source:
Leslie, D. (2019). Understanding artificial intelligence ethics and safety: A guide for the responsible design and implementation of AI systems in the public sector. The Alan Turing Institute.
TIMECODES:
0:00 – Introduction
1:06 – Why is ethical AI design important?
2:54 – Being aware of potential AI harms
3:51 – Risk 1: Bias and Discrimination
4:50 – Risk 2: Denial of individual autonomy, recourse and rights
5:49 – Risk 3: Non-transparent, unexplainable or unjustifiable outcomes
6:45 – Risk 4: Invasion of privacy
7:42 – Risk 5: Isolation and disintegration of social connection
8:32 – Risk 6: Unreliable, unsafe or poor quality outcomes
9:18 – The building blocks of a responsible AI project
10:04 – SUM Values
10:42 – FAST Track Principles
11:25 – PBG Framework
12:12 – Putting it into practice
12:47 – Summary
LINKS TO RELATED VIDEOS:
AI transparency in academic work
How to write AI use statements in learning and assessment
How to use AI in your teaching (PAIR Framework)
How to reference ChatGPT in your assignments
Should we assess students on product or process in the age of GenAI?
Navigating Ethical AI: 5 Essential Lessons for Practitioners
Ethical AI in Health and Social Care: 4 key approaches
How to use an AI Tutor
ChatGPT: how it can boost your academic writing
Unlocking the Power of AI for Personalised Learning
Harnessing the Power of AI: Applying Supervision Research in Real-world Scenarios
Enhancing Student Learning and Assessment with AI: 5 Innovative Strategies
The Future of AI in Education: 3 Opportunities and 3 Challenges
5 ChatGPT prompts to organise your study routines and save time
Create research-based PowerPoints in minutes using Bard AI, Word and Designer
How I used ChatGPT to create learning designs based on my research
Preparing students for an AI future: 6 ChatGPT teaching techniques
From theory to practice: teaching AI ethics using Tome AI in class
LINKS TO RESEARCH
Chan, C. K. Y. (2023) A Comprehensive AI Policy Education Framework for University Teaching and Learning.
International Journal of Educational Technology in Higher Education 20 (1): 38. doi:10.1186/s41239-023-00408-3.
Cotton, D. R. E., Cotton, P. A., and Shipway, J. R. (2023) “Chatting and Cheating: Ensuring Academic Integrity in the Era of ChatGPT.” Innovations in Education and Teaching International. doi:10.1080/14703297.2023.2190148.
Luo, J. (2024) A critical review of GenAI policies in higher education assessment: a call to reconsider the “originality” of students’ work , Assessment & Evaluation in Higher Education, DOI: 10.1080/02602938.2024.2309963
Rudolph, J., Tan, S. and Tan, S. (2023) ChatGPT: Bullshit Spewer or the End of Traditional Assessments in Higher Education? Journal of Applied Learning and Teaching 6 (1): 1–22. doi: 10.37074/jalt.2023.6.1.9.
Sullivan, M., Kelly, A. and McLaughlan, P. (2023) ChatGPT in Higher Education: Considerations for Academic Integrity and Student Learning. Journal of Applied Learning & Teaching 6 (1): 1–10. doi: 10.37074/jalt.2023.6.1.17.
Yan, L., L. Sha, L., Zhao, Y., Li, R., Martinez-Maldonado, G., Chen, X., Li, Y., Jin, and D. Gašević. (2023) Practical and Ethical Challenges of Large Language Models in Education: A Systematic Scoping Review. British Journal of Educational Technology 55 (1): 90–112. doi:10.1111/bjet.13370.
WHO AM I: