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The European Commission has told researchers to document their AI use. The AIR framework can be used to do it.

The EU's updated guidelines on AI in research include a clear instruction for researchers: document your AI use transparently, in the methods section, with enough detail to show how it shaped the research process.

It’s the right call. It’s also easier said than done.

What counts as substantial AI use? How do you describe generative AI involvement in data analysis differently from writing? How do you communicate the level of human oversight that was maintained?

Without a shared vocabulary, transparency statements tend to collapse into a single vague sentence.

The AIR Framework maps the research process across seven stages and five levels of AI involvement, with risk profiles and verification guidance at each point. It gives researchers a structured way to produce the kind of disclosure the EU guidelines are asking for.

I've written a post about how AIR relates to recommendation 2 of the new ERA living guidelines on the responsible use of generative AI in research (link in comments). The AIR Framework itself is free to download from Figshare and published under CC BY 4.0.

The infographic image was created using Gemini Nano Banana 2, then adapted in Photoshop. It's public domain so anyone can reuse it. The QR code leads to the ERA guidelines.

The EU’s new AI guidelines tell researchers to document their AI use transparently.

Most don’t have a structured way to do it. The AIR Framework does ✅

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As AI adoption grows, how should research record it?

Our article published today in Research information.

As AI adoption grows, how should research record it? - Research Information Researchers operating across multiple institutions and publication venues face a confusing landscape, writes Joanna Young

Only 48 hours left to book a place on this course using the early bird rate!

"Generative AI & the researcher: tools, strategies & practical insights"

Date: 20th May, 1pm - 3.30pm

Delivery format: Online via Zoom

Course fee: £60 per person (early bird rate, if booked before 9th May)

👉 Registration link in the comments

The course is very practical - it begins with an introduction to generative AI and emphasises the ethical considerations, limitations and responsibilities associated with using these tools, before moving on to a series of live demonstrations of a variety of tools and how to use them at different stages of the research process.

👉 This popular course is regularly booked by top UK universities
⏳ Over 1,000 researchers from a range of disciplines have taken the course
🏄 95% of participants rate the course as 5 star (5/5 or excellent)
📱 98% would recommend the course to other researchers

What do previous participants think?

"Overall an amazing course, would highly recommend to anyone and everyone.”

"It was such a brilliant session that I’d like to recommend it to colleagues, whom I think would benefit."

https://www.eventbrite.co.uk/e/generative-ai-the-researcher-tools-strategies-practical-insights-tickets-1306058569339?aff=oddtdtcreator

Generative AI & the researcher: tools, strategies & practical insights How can you integrate generative AI tools into your research workflow?

|| TRAINING COURSE ANNOUNCEMENT ||

"Generative AI & the researcher: tools, strategies & practical insights"

Date: 20th May, 1pm - 3.30pm

Delivery format: Online via Zoom

Course fee: £60 per person (early bird rate, if booked before end of April)

👉 Registration link in the comments

The course is very practical - it begins with an introduction to generative AI and emphasises the ethical considerations, limitations and responsibilities associated with using these tools, before moving on to a series of live demonstrations of a variety of tools and how to use them at different stages of the research process.

👉 This popular course is regularly booked by top UK universities
⏳ Over 1,000 researchers from a range of disciplines have taken the course
🏄 95% of participants rate the course as 5 star (5/5 or excellent)
📱 98% would recommend the course to other researchers

What do previous participants think?

"Overall an amazing course, would highly recommend to anyone and everyone.”

"It was such a brilliant session that I’d like to recommend it to colleagues, whom I think would benefit.”

Registration:

Generative AI & the researcher: tools, strategies & practical insights How can you integrate generative AI tools into your research workflow?

10% off our Generative AI & the researcher on-demand course for November!

The course includes:

- The ethical considerations, limitations & responsibilities when using AI
- Demonstrations of a variety of tools and how they can be used for research
- Tools to find and compare key references, draft document outlines
- How to explore novel ideas, suggest methodologies & plan projects
- Using AI to analyse and visualise data

You can complete our on-demand courses in your own time and you will receive a certificate on completion.

To take advantage of this offer (only £21.60!), please use the code FIREWORKS at checkout or click the link below. This offer expires on 30th November so we recommend registering soon!

Generative AI & the researcher: strategies, insights & practical uses This bitesize introductory course, designed for researchers, aims to demystify the rapidly evolving area of generative artificial intelligence (Gen AI) tools, and provides a practical insight into how these tools can be integrated into the research process. There has been an explosion of Gen AI tool...

During our training sessions, several participants have asked about using AI generated images for enhancing a LinkedIn profile headshot. Since it's a question we are asked frequently, here are some thoughts:

1. They're cheaper than a real professional photographer 💷

Yes, AI generated images can be cheaper than a professional headshot from a photographer (our 20 headshots cost approximately £20).

2. Polishing your photo is becoming more popular 📣

Apparently, more than 12% of LinkedIn users are experimenting with AI profile photos. Can you spot the AI ones vs the real ones?

3. Is it really you though? 🔆

AI can struggle with capturing expressions or natural aspects, so some headshots may look a bit robotic or inaccurate (ours did). We only tried it once, but we were given the option to feedback and possibly refine the AI images so the results could be better after a few iterations.

4. AI tools for headshots if you want to try it out: 💡

BetterPic: https://www.betterpic.io
HeadshotPro: https://www.headshotpro.com
StudioShot: https://www.studioshot.ai

Brilliant couple of days at the UKCGE conference on postgraduate education and research in the Queen Elizabeth Olympic Park chatting with folks from a range of institutions, discussing challenges & hearing about fascinating projects. Now heading home with lots to think about!

I’m including some photos from the event - they include some sports shots that relate to the fabulous venue! (I just had to try the BMX track!)

Huge thanks to UKCGE Angus Burns and the team for organising!

Our latest DALL-E creation for Valentine's Day. We’re calling it "Heart, head & hardware."