Something is quietly but profoundly shifting across research institutions. As artificial intelligence moves from theory into real-world application, professionals supporting research are increasingly stepping forward to guide how it is explored and adopted.

What is remarkable is that many are doing this work informally, on their own initiative, and on top of already full roles. They are driven by curiosity, care, and a sense of responsibility, not by title or mandate. They are sparking conversations, testing tools, raising awareness, and opening space for change. They are the new leaders of change in research.

Why Local AI Communities Matter

Across research organisations, the questions many of us are grappling with sound familiar:

• How can we use AI to reduce admin burden without compromising quality or ethics?
• What guidelines should shape the use of AI tools in research workflows?
• How can we help our colleagues feel informed and not overwhelmed by emerging technologies?

Every institution is different, but one need is universal: shared, safe spaces to explore these questions together.

That is where local AI communities whether formal or informal come in. These could be special interest groups (SIGs), internal working groups, or cross-functional conversations. What matters most isn’t the format but the intention:

• To share tools, experiments, and lessons learned
• To talk openly about concerns like academic integrity and data governance
• To build momentum for change that is grounded in local realities.

These groups don’t need to be big or official. They can begin with a coffee chat or a lunchtime session. What they do need is encouragement, community, and a little structure to thrive.

Recognising the Rise of AI Adoption Leaders

In the AI in Research Operations (AIRO) community, many professionals have shared that they have started these conversations but feel alone. Others want to take action but aren’t sure how to begin. Some say they feel like they are constantly reinventing the wheel without peers to turn to or resources to build on.

To support this growing energy, we are designing the AI in Research Leads Programme — a light-touch, community-led initiative to support anyone interested in starting or growing an AI-focused group at their institution.

You don’t need to be a tech expert. You don’t need to be in a leadership role. And you don’t need anyone’s permission to begin. If you care about responsible AI adoption in research and want to bring people together — this programme is for you.

Join the AI in Reserach Operations Community Session

We are shaping what this programme will look like and we want your input.

If you are curious about leading an AI-focused group at your institution, or already have something underway, join us for this live discussion on Thursday 17 July at 4pm (BST): Becoming an AI in Research Lead: Building Communities That Drive Change | LinkedIn

We will talk about:

• The real challenges professionals face when leading this work on their own
• What kind of support or recognition would make a difference
• How we can build a peer-led, sustainable community of practice.

Whether you have already started something or just want to learn more, your voice matters.

What the Programme Could Offer

Based on early conversations, we are exploring support that might include:

• A quick-start toolkit to help you launch a group
• Recognition as an “AI in Research Lead” within the AIRO Network
• Monthly drop-in calls for peer learning and support
• Visibility for your work on our website and newsletter
• Access to shared templates, resources, and discussion guides.

We want this to be simple, supportive, and flexible — a boost, not a burden.

Why Now?

AI adoption in research is accelerating. But without input from professionals who understand the day-to-day of research support, we risk building systems that don’t fit — or even do harm.

The most impactful strategies will come from people like you: those who know how research works, who care about values and impact, and who already support researchers every day.

By creating and connecting these local groups, we can:

• Make AI adoption more ethical, practical, and human-centred
• Reduce isolation and build shared confidence
• Align innovation with institutional values and real needs.

If this resonates with you, please consider joining the session.

Because the future of AI in research won’t be shaped by tech companies alone. It will be led by communities of thoughtful professionals, stepping forward — together.

Do you want to stay in the loop? Subscribe to the AI Bites newsletter and join the AI in Reserach Operations community.

Join the live session: Becoming an AI in Research Lead: Building Communities That Drive Change | LinkedIn