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The Joy of Academic Writing in the Age of AI

I once imagined an academic career involved a lofty devotion to knowledge at a distance from the world. This is what Bourdieu (2000: 1) described as “the free time, freedom from the urgencies of the world, that allows a free and liberated relation to those urgencies and to the world”. Or as the philosopher Richard Rorty once put it to a friend asking him about whether he was happy in this new role, “Universities permit one to read books and report what one thinks about them, and get paid for it” (Gross 2003).

Even if this was true of a tenured professor at an Ivy League university in 1980s America, it certainly isn’t true now for the vast majority of academics. It took me a while to come to terms with that fact, but what was constant in this process was the enjoyment of writing. It was precisely because of that enjoyment, the impulse ‘to read books and report what I thought about them’, that the reality of academic work felt so disappointing to me. It’s something I’ve long since made my peace with, but the fact it was a compromise I came to has left the enjoyment of writing at the heart of my professional self-conception: the space that can be found for it and the obstacles which stand in its way.

Unfortunately those obstacles are numerous. There are the new things which academics are expected to do, such as make research relevant to wider society and the mechanisms, such as social media, through which we are expected to do it. There is the growth in the work to be done as student numbers increase and our interactions with them increasingly take place through multiple channels. There are the spiralling expectations of what constitutes being productive, driven in part by a job market which is brutally competitive in some systems.

I take as background the widespread sense that there is a deep somatic crisis in higher education, which has structural roots (Burrows 2012). As Vostal (2016) demonstrates, it would be too simple to say the problem is one of speeding up, to which the solution would be to slow down. The evidence suggests that our relationship to speed is more ambivalent than this. I certainly recognize the enjoyment which can be realized through rushing under the right circumstances, such as the intense focus which can come with an imminent deadline or the intellectual sociability generated through an intensive workshop.

There is also a politics to speed too often overlooked by advocates of ideas like the ‘slow professor’ (Berg 2022). In my experience, the choice for a professor to slow down often relies on post docs who are willing to pick up the slack for them. But there is nonetheless a sense of rushing, of never having quite enough time for all the things we are expected to do, common within the contemporary academy (Carrigan 2016).

Obviously this is an experience which is far from confined to academics and the university, reflecting a broader sense of being harried in contemporary societies (Rosa 2014). It is easy for the time and space in which we might enjoy writing to find itself squeezed on all sides by the urgent items we are struggling to clear from our to-do list. It is easy to conclude from this experience that writing necessarily has to be a slow process, in which an excess of time and space provide the conditions in which creative writing is possible.

This is fundamentally mistaken, with the sense that writing requires an abundance of time actually being a potent obstacle to a regular and rewarding writing routine. But it is conversely difficult to immerse yourself in writing if you feel harried, assailed on all sides by unmet expectations and impending deadlines. There is a risk this leads to a sense of enjoying writing being a luxury, as opposed to a practical requirement of the job which must be dispensed with as quickly and efficiently as possible.

If you frame writing in these terms then the instrumental use of AI becomes an inevitability. Why wouldn’t you rely on these systems to do your writing for you if that writing is an unwelcome obligation which weighs heavily on your working life? This gets to the heart of my concern. There is a pessimistic and self-defeating mood which too often accompanies academic writing. This is a problem in its own terms because it makes what should be a source of joy for academics into a gruelling chore. But with the advent of a technology which can do this writing for us, this mood goes from being individually self-defeating to potentially catastrophic for the knowledge system.

As Sword (2023: loc 220) points out, “writing signals hard work and puritanical virtue, while pleasure drips with hedonistic vice”. The tendency for academics to relate to writing as a serious matter, serving a lofty purpose beyond the trivial matters of feeling, rather than something which pleasure can be taken in makes it difficult to have these conversations. I share Sword’s (2023: loc 226) project “to recuperate pleasure as a legitimate, indeed crucial, writing-related emotion”. Indeed, such a recuperation is imperative, individually and collectively, because of the impact which AI is already starting to exercise over why and how we write.

If you’re taking joy in an activity, why would you outsource it? I struggle to see a difference in this sense between relying on machine writing and seeking an assistant who can work on your behalf. There might be contingent challenges which mean you need support at a particular point in time, as well as a need to prioritize certain tasks over others. In this sense I wouldn’t suggest the impulse to outsource a task necessarily means you don’t take joy in it, but if you persistently seek external support for a type of task or a project composed of multiple tasks, this suggests the potential for exploring your motivation.

There are parts of my administrative work which I’ve found myself tempted to rely on machine writing for. I’ve come to realize this is a red flag which indicates there’s a part of my portfolio of work I’m struggling with in some way or coming to be alienated from. The impulse to outsource it to a machine, to just get it done immediately rather than expanding any more energy on it, will become a mainstream one within higher education over the coming years. The ubiquity of this software, particularly as it comes to be embedded in the existing collaboration platforms which universities provide for their staff, means it will be ‘in here’ rather than ‘out there’.

Meeting this temptation reflexively requires that we understand our work, the tasks that compose it, and how we tend to experience them. Do we persistently avoid or procrastinate from particular activities? What do we choose to do instead when we’re being avoidant? These questions help us identify which aspects of our academic writing might be at risk of being outsourced to AI, not because the technology offers genuine improvements, but because we’ve lost touch with the joy those activities might provide.

✍️ How to enjoy writing in spite of the lure of generative AI

Over the last year I’ve been working on a book How to Enjoy Writing exploring the implications of generative AI for academic writing. I felt I had something important to say about the personal reflexivity involved in working with large language models, but in recent months I’ve realised that I lost interest in the project. Given the book was about cultivating care for our writing, as opposed to rushing through it with the assistance of LLMs, I’ve decided to break it up into blog posts which I’ll share here:

This is Claude’s summary of the core argument which unites these posts into a coherent project. One of the reasons I lost my enthusiasm for the project was the manner in which its capacity to imitate my style, sometimes doing it when I hadn’t asked, disrupted the psychology of my enthusiasm for what I was doing:

The core argument of the book is that generative AI forces academics to confront fundamental questions about why we write and what writing means to us beyond mere productivity. While machine writing offers tempting solutions to the difficulties inherent in academic writing, these difficulties are actually integral to the creative process and intellectual development. If we embrace AI tools primarily as efficiency mechanisms to produce more outputs more quickly, we risk losing the joy and meaning that make writing worthwhile in the first place. Instead, we should approach AI as a conversational partner that enhances our thinking rather than replacing it, staying with the productive "trouble" of writing rather than seeking to escape it. This reflexive approach to writing technology allows us to resist the instrumental acceleration of academic life while still benefiting from AI's creative potential.

However I’ve used Claude to support the editing of these blog posts based on the 80% complete draft of the book, simply because I wouldn’t get round to it otherwise. It has copy edited extracts, condensed them at points, chosen some titles and generally polished the text. There’s a few bridging sentences it provided but nothing more than this. I’m glad it’s given this project a public life because I feel like I was saying something valuable here. But I wasn’t willing to produce a second book on generative AI in two years, as it felt like I was stuck in a performative contradiction which was increasingly uncomfortable.

Instead my plan is to focus on doing my best intellectual work by focusing, for the first time in my career really, on one thing at a time. I’ll still be blogging in the meantime as the notepad for my ideas, but I’d like to take a more careful and nuanced approach to academic writing going forward. I’m not sure if it will work but it’s a direct outcome of the arguments I developed in this book. It was only when I really confronted the rapid increase in the quantity of my (potential) output that I was able to commit myself in a much deeper way to the quality of what I wanted to write in future.

https://www.youtube.com/watch?v=6IytEOXamsk

And this is how we rise - by taking a fall
Survive another winter on straight to the thaw
One day you'll learn to strain the tea through your teeth
And maybe find the strength to proceed to the peak
You press on into the thin again and cannot breathe
Swallow so much of my damn pride that it chokes me
The real risk is not a slipped grip at the edge of the peak
The real danger is just to linger at the base of the thing

This is a follow up to the 23 part series I did last summer on How To Enjoy Writing. In fact it emerged directly from “I have something to say here” to “I should write another book”, which is exactly the transition I’m now questioning in myself 🤔

  1. Be rigorous about capturing your fringe thoughts
  2. Placing limits on your writing practice
  3. Being realistic about how long you can spend writing
  4. Embracing creative non-linearity
  5. Keep trying to say what you’re trying to say
  6. Procrastination is your friend, not your enemy
  7. Knowing when (and why) to stop writing
  8. Initial reflections from my AI collaborator
  9. Identifying and valuing your encounters with ideas
  10. A poetic interlude from Claude
  11. Cultivating an ecology of ideas
  12. Claude’s ecology of ideas self-assessment tool
  13. Only ideas won by walking have any value
  14. Using generative AI as an interlocutor
  15. Word acrobatics performed with both harness and net
  16. Don’t impose a shape on things too quickly
  17. Creative confidence means accepting the tensions in how you think
  18. Understand where the ideas which influence you come from
  19. Not everything you write has to become something
  20. Being a writer means being good at AI
  21. Make your peace with the fact you don’t have creative freedom
  22. Confront the creepiness of LLMs head on
  23. Be clear about why you are writing

A book! A comic! A hybrid-book-comic-essay thing!
You know how you sometimes only look at the pictures when you buy an academic book? Well here you are ENCOURAGED to! The main arguments are in the comics, the text offers references, methods & background.
Available from EPFLPress & soon internationally via Chicago University Press (pre-order available).

Liebe Editor*innen, Conference Chairs und akademische Verleger*innen – wenn ihr wissenschaftliche Arbeiten zur doppelblinden anonymen #PeerReview-Begutachtung verschickt, achtet doch bitte darauf, dass die PDF-Dateien keine Metadaten enthalten, aus denen man die Namen oder Zugehörigkeiten der Autor*innen ablesen kann.

Ansonsten weiß man halt, wer das Paper geschrieben hat und die ganze weitere Anoymisierung ist für die Katz.

Vielen Dank an alle.

#AcademicWriting
#ScientificWriting