by David Webster

If GAI is the ‘uncanniest of guests’ in the University what can we do about any misbehaviour? What do we do with this uninvited guest who behaves badly, won’t leave and seems intent on asserting that it’s their house now anyway?  They won’t stay in their room and seem to have their fingers in everything.

Nihilism stands at the door: whence comes this uncanniest of all guests?[1]

Nietzsche saw the emergence of nihilistic worldviews as presaging a century of turmoil and destruction, only after which might more creative responses to the sweeping away of older systems of thought be possible. Generative Artificial Intelligence, uncanny in its own discomforting ways, might be argued as threatening the world of higher education with an upending of the existing conventions and practices that have long been the norm in the sector. Some might welcome this guest, in that there is much wrong in the way universities have created knowledge, taught students, served communities and reproduced social practice. The concern must surely be though that GAI is not a creative force, but a repackaging and re-presenting of existing human understanding and belief. We need to think carefully about the way this guest’s behaviour might exert influence in our house.

After decades of seeking to eliminate prejudices and bias, GAI threatens to reinscribe misogyny, racism, homophobia and other unethical discrimination back into the academy. Since  the majority of content used to train large language models has been generated by the most prominent and privileged groups in human culture, might not we see a recolonisation, just as universities are starting to push for a more decolonised, inclusive and equitable learning experience?

After centuries of citation tradition and careful attribution of sources, GAI seems intent on shuffling the work of human scholars and presenting it without any clarity as to whence it came. Some news organisations and  authors are even threatening to sue OpenAI as they believe their content has been used, without permission, to train the company’s ChatGPT tool.

Furthermore, this seems to be a guest inclined to hallucinate and recount their visions as the earnest truth. The guest has also imbibed substantive propaganda, taken satirical articles as serious factual account (hence the glue pizza and rock AI diet), and is targeted by pseudo-science dressed in linguistic frames of respectability. How can we deal with this confident, ambitious, and ill-informed guest who keeps offering to save us time and money?

While there isn’t a simple answer (if I had that, I’d be busy monetising it!), an adaptation of this guest metaphor might help. This is to view GAI rather like an unregulated child prodigy: awash with talent but with a lacuna of discernment. It can do so much, but often doesn’t have the capacity to know what it shouldn’t do, what is appropriate or helpful and what is frankly dangerous.

GAI systems are capable of almost magical-seeming feats, but also lack basic understanding of how the world operates and are blind to all kinds of contextual appreciation. Most adults would take days trying to draw what a GAI system can generate in seconds, and would struggle to match its ‘skills’, but even an artistically-challenged adult likely myself with barely any artistic talent at all would know how many fingers, noses or arms, were appropriate in a picture – no matter how clumsily I rendered them. The idea of GAI as a child prodigy, in need of moral guidance and requiring tutoring and careful curation of the content they are exposed to, can help us better understand just how limited these systems are. This orientation to GAI also helps us see that what are witnessing is not a finished solution to various tasks currently undertaken by people, but rather a surplus of potential. The child prodigy is capable of so much, but is still a child and critically, still requires prodigious supervision.

So as universities look to use student-facing chatbots for support and answering queries, to automate their arcane and lengthy internal processes, to sift through huge datasets and to analyse and repackage existing learning content, we need to be mindful of GAI’S immaturity. It offers phenomenal potential in all these areas and despite the overdone hype  it will drive a range of huge changes to how we work in higher education, but it is far from ready to work unsupervised. GAI needs moral instruction, it needs to be reshaped as it develops and we might do this through assuming the mindset of a watchful, if also proud, parent.

Professor Dave Webster is Director of Education, Quality & Enhancement at the University of Liverpool. He has a background in teaching philosophy, and the study of religion, with ongoing interests in Buddhist thought, and the intersections of new religious movements and conspiracy theory.  He is also concerned about pedagogy, GAI and the future of Higher Education.

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[1] The Will to Power, trans. Walter Kaufmann and R. J. Hollingdale, ed., with commentary, Walter Kaufmann, Vintage, 1968.