Month: January 2025

IT-proffs avslöjar: Så förändrar AI branschen just nu

AI har tagit IT-branschen med storm, men hur påverkar det egentligen IT-proffsens vardag? En ny studie där 44 IT-specialister i Sverige och Nya Zeeland intervjuats avslöjar hur Generativ AI (GenAI) förändrar roller, kompetenskrav och arbetsplatskulturer.

Fyra överraskande insikter om AI på IT-arbetsplatsen

1. AI förändrar arbetsroller – men inte alltid som förväntat

AI ersätter inte jobb, men förändrar hur uppgifter fördelas. Seniora utvecklare blir mer effektiva, och juniora får färre enkla uppgifter att träna på – vilket kan skapa framtida kompetensbrister.

2. IT-proffs lär sig AI på egen hand

De flesta företag utbildar inte sina anställda i AI. Istället lär sig IT-proffs AI genom självstudier och via kollegor, vilket gör att vissa blir AI-experter medan andra halkar efter.

3. AI används i smyg – “shadow AI” växer

Många företag har ingen tydlig AI-policy, vilket leder till att vissa anställda använder AI utan att berätta för cheferna. Detta skapar säkerhetsrisker och oreglerad AI-användning.

4. Framtidens IT-proffs behöver nya kompetenser

AI förändrar vad som krävs för att lyckas i IT-branschen. Förutom teknisk kompetens lyfter studien fram vikten av:
AI-kunskap – förstå AI:s begränsningar och risker.
Prompt engineering – att kunna styra AI med effektiva instruktioner.
Etiska beslut – att avgöra när AI ska användas och när mänsklig bedömning behövs.

Slutsats

AI omformar IT-branschen snabbt, men de största vinnarna är de som är snabbast på att anpassa sig. Självlärda AI-kunskaper och förmågan att ifrågasätta och anpassa AI-lösningar kommer att vara avgörande framöver.

Artikeln:

Clear, T., Cajander, Å., Clear, A., McDermott, R., Daniels, M., Divitini, M., … & Zhu, T. (2025). AI Integration in the IT Professional Workplace: A Scoping Review and Interview Study with Implications for Education and Professional Competencies. 2024 Working Group Reports on Innovation and Technology in Computer Science Education, 34-67.

Länk:
https://dl.acm.org/doi/abs/10.1145/3689187.3709607

Registering a protocol for a scoping review

We recently registered a protocol for a scoping review that we are working on. In our AROA project, we are taking a wide look into what research has been done on the work engagement consequences of digitalisation. As such, we are working on a scoping review rather than a systematic review. While a systematic review is perfect when you want to synthesise the evidence on a specific research question following a structured and rigorous process, it is not what we are trying to do as we instead want to provide an overview of the breadth of the research topic. Through a scoping review, we can thusly identify factors related to digital work engagement, how it has been researched previously, and what research gaps still exist in the collective research on the topic. The registered protocol for the scoping review can be found here.

But what is a research protocol then?

When doing either a systematic or scoping literature review, it is common practice to plan and write a protocol for the study first. The protocol, in its simplicity, is a written research plan covering the aims, the search and selection procedure and how the selected papers will be analysed. The main reasons for beginning with registering or publishing a protocol is that the risk for biased research practices decreases if you have a transparent research plan to follow beforehand. If you have a published protocol that is expected to be referenced when publishing the study itself, you will have to hold yourself to that plan. Another benefit of this is that it makes the literature study more accessible and easy to replicate and verify. Furthermore, the registered protocol highlights for others that this review is already a work in progress and that other researchers do not need to start such a study themselves. Lastly, if it is published, the quality of the planned procedure is likely improved as the peer-review process for the protocol will bring the validity and relevance of suggested method into question. That being said, publishing protocols for literature reviews are not yet common practice outside of research in healthcare and medicine as far as we have been able to find (if you are doing a systematic review relating to human health, you probably want to register it on Prospero or its like). As such, the alternative option is to register the protocol in one of the many registries of research plans (such as OSF.io or figshare.com) which unfortunately lack peer review and the benefits and frustrations that comes with it. So if you are planning to do a literature review, consider beginning with registering a protocol first to help you towards a better end result.

Good luck with whatever work or so you currently have going on and take care of yourselves!
Andreas Bergqvist, PhD Student in HCI

I used to be a writer. But everything changed when ChatGPT attacked.

ChatBPT seems to be the answer to all of our questions today. Or so it seems, given all the ways people find to use the tool for advice. The last couple of months I’ve heard students talking about writing entire assignments, documentarians writing scripts, and people asking it for dating advice, which for me feels downright borderline dystopic.

Inevitably, this technology is used in academia as well, a topic which was discussed in the course Scientific Writing, examined by Dolly Kothawala, this past December. The course was a faculty wide PhD course, meaning that there were primarily students from STEM subjects, a setting that usually makes me and my colleague Andreas Bergqvist with our dubious qualitative methods approach to scientific research feel a bit out of place. Towards the end of the course, we had a seminar where Sarah Shakil asked a couple of questions about the usage and perception of different AI-based tools in our work and writing. Here, I will admit my prejudice towards my dear co-PhD-students. I thought that the optimism would be overflowing, and that people would break out in song praising the almighty Chat-Mini-Me. The following slide represents the actual direction of the discussion:

I came out of the class quite optimistic and inspired. One reason being that the discussion we had during the class was what I envisioned academia to be, a high tempo discussion that moved between present day realism and future dystopia, tossing and turning the different perspectives back and forth. The fact that two of our research groups’ projects are about how these new technologies affect work environment and work engagement was of course a contributing factor too (Current Research Projects – Human Technology and Organisations Research Group).

The main reason for me leaving the class optimistic was that despite people being somewhat towards the negative side, most people did admit using it regularly, yours truly included. “Hypocrites!” some might say, but to me it showed that my dear co-PhD-students are curious but skeptical, understanding the practical usefulness in the technology, but also the risks and downsides, and having people with this mindset in academia gives me hope for the future. All and all, I do share this curious skepticism. On the one hand, it is really convenient to have a grammar checker, a translator, an email diplomatizer. On the other, using texts that are completely Chat-Hihihi generated is plagiarism, and I’m getting somewhat paranoid reading anything nowadays, always suspecting an AI lurking in the shadows.

One of the final questions during the seminar was: “What role do you think AI should play in the future of scientific writing?”. While many attendees answered things like “spelling” and “rephrasing”, the most popular answer was “none”. I would encourage something in between, a certain restrained (some might say lagom) and reflective usage of these tools, with a consideration what is lost, because yes, it is convenient and perhaps more productive, and there are many other tools that makes the writing process easier, but especially for me as a PhD student, I still think the student part of it includes practicing to write properly, and the learning process is fundamental in order to form novel ideas and communicate them gracefully. At the end of the day, I just wish for once that Chat-Arrow-In-The-Knee would answer “I’m sorry, Jonathan. I’m afraid I can’t do that. You clearly need to practice in order to improve your abysmal sentence structure”.