Further Information

What is GenAI?

• Atlas, S. (2023). ChatGPT for higher education and professional development: A guide to conversational AI. https://digitalcommons.uri.edu/cba_facpubs/548/. Accessed June 12 2023
• Dahmen, J., Kayaalp, M. E., Ollivier, M., Pareek, A., Hirschmann, M. T., Karlsson, J., & Winkler, P. W.(2023). Artificial intelligence bot ChatGPT in medical research: The potential game changer as a double-edged sword. Knee surgery, sports traumatology, arthroscopy: official journal of theESSKA.
• Gimpel, H., Hall, K., Decker, S., Eymann, T., Lämmermann, L., Mädche, A., ... & Vandrik, S. (2023). Unlocking the power of generative AI models and systems such as GPT-4 and ChatGPT for higher education: A guide for students and lecturers (No. 02-2023). Hohenheim Discussion Papers in Business, Economics and Social Sciences.
• Lawton, G. (2023). What is Generative AI? Everything You Need to Know. Enterprise AI. https://www.techtarget.com/searchenterpriseai/definition/generative-AI. Accessed 18 June 2023
• McKinsey. (2023). What is ChatGPT, DALL-E, and generative AI? McKinsey & Company. https://www.mckinsey.com/featured-insights/mckinsey-explainers/what-is-generative-ai . Accessed 14 June 2023
• What is Generative AI? (2023). NVIDIA. https://www.nvidia.com/en-us/glossary/data-science/generative-ai. Accessed 20 June 2023

GenAI in Learning and Teaching

Datasets & Bias

• Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., ... & Wright, R. (2023). “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, 102642.
• Ferrara, E. (2023). Should ChatGPT be biased? challenges and risks of bias in large language models. arXiv preprint arXiv:2304.03738.
• Liang, W., Yuksekgonul, M., Mao, Y., Wu, E., & Zou, J. (2023). GPT detectors are biased against non-native English writers. arXiv preprint arXiv:2304.02819.
• Ray, P. P. (2023). ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope. Internet of Things and Cyber-Physical Systems.

Creativty and IP Rights

• Appel, G., Neelbauer, J., & Schweidel, D. A. (2023, 16 June 2023). Generative AI Has an Intellectual Property Problem. Intellectual Property. https://hbr.org/2023/04/generative-ai-has-an-intellectual-property-problem
• Arielli, E., & Manovich, L. (2022). AI-aesthetics and the Anthropocentric Myth of Creativity. NODES, 1(19-20).
• Cross, N., Christiaans, H., & Dorst, K. (1994). Design Expertise Amongst Student Designers. Journal of Art and Design Education, 13(1), 39-56.
• Kelly, S. (2019) A philosopher argues that an AI can’t be an artist. MIT Technology Review, 21 February 2019. https://www.technologyreview.com/2019/02/21/239489/a-philosopher-argues-that-an-ai-can-never-be-an-artist/ . Accessed 25 June 2023.
• Lawson, B. (2006). How designers think : the design process demystified / Bryan Lawson. Elsevier/Architectural.
• Lawson, B., & Dorst, K. (2009). Design Expertise. Architectural Press, Elsevier.
• Miernicki, M., & Ng, I. (2021). Artificial intelligence and moral rights. AI & SOCIETY, 36(1), 319-329. https://doi.org/10.1007/s00146-020-01027-6
• Natale, S., & Henrickson, L. The Lovelace effect: Perceptions of creativity in machines. New Media & Society, 0(0), 14614448221077278. https://doi.org/10.1177/14614448221077278
• Shtefan, A. (2021). Creativity and artificial intelligence: a view from the perspective of copyright. Journal of Intellectual Property Law & Practice, 16(7), 720-728. https://doi.org/10.1093/jiplp/jpab093
• Wingström, R., Hautala, J., & Lundman, R. (2022). Redefining Creativity in the Era of AI? Perspectives of Computer Scientists and New Media Artists. Creativity Research Journal, 1-17. https://doi.org/10.1080/10400419.2022.2107850

GenAI and Assessment Design

• Cope, B., Kalantzis, M.,Searsmith, D. (2021). Artificial intelligence for education: Knowledge and its assessment in AI-enabled learning ecologies. Educational Philosophy and Theory, 53(12), 1229-1245.https://doi.org/10.1080/00131857.2020.1728732
• Dawson, P. (2020). Cognitive Offloading and Assessment. In M. Bearman, P. Dawson, R. Ajjawi, J. Tai, & D. Boud (Eds.), Re-imagining University Assessment in a Digital World (pp. 37-48). Springer International Publishing. https://doi.org/10.1007/978-3-030-41956-1_4