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Living & Learning with AI
R&D Group Dispatch

Living & Learning
with AI

Reflections from our First Meeting

19 March 2026 13 Participants UK & Australia

We held our first group conversation this week, exploring how AI is showing up in our everyday lives. Thirteen participants from the UK and Australia shared their experiences, surprises, and questions. Here are some thoughts on what emerged.

01

The Predictable Territory

Some themes were entirely expected — and that's not a criticism. They reflect where most thoughtful people naturally begin when they start paying attention to AI.


Concerns about pace (things are moving faster than we can process), trust (who is building these systems and why?), and bad actors (what happens when powerful tools fall into the wrong hands) are the almost universal entry points into this conversation. So is the worry about AI feeling robotic and impersonal, and the ambient anxiety fed by relentless media coverage that tends toward the alarming.


Similarly, the observation that AI has actually been around for a long time — in recommendation algorithms, sat-nav, spam filters — lands as a genuine surprise for most people at this stage, but it's a surprise that researchers in this space have been pointing to for years.


These concerns are legitimate and worth exploring. But they are also well-trodden ground.

◆   ◆   ◆
02

Where It Gets More Interesting

Several threads felt fresher, and point toward richer territory for our group's inquiry.

The Communication Loop

Communicating effectively with AI demands greater clarity in how we think and ask questions. This discipline might improve human-to-human communication — a reframing with real pedagogical potential.

Speed as Dilemma

AI generates content far faster than humans can assimilate it. The group identified this not as a productivity gain but as a cognitive challenge that may privilege rapid output over slower deliberation.

The Loss of Serendipity

AI-assisted research might reduce the chance discoveries and unexpected connections that arise through slower, more exploratory inquiry — the productive accidents at the heart of how creativity works.

The Relational Question

Could AI be experienced as a friend, or a personal team? Several participants were already experiencing something like this — philosophically rich territory touching on anthropomorphism and emotional attachment.

The group is sitting at an interesting threshold — between the familiar anxieties of early engagement and some genuinely novel questions about cognition, creativity, and human-AI relationships.

03

What This Suggests for Our Next Steps

The most productive direction is probably to move through the predictable concerns rather than dwelling in them, and to develop structured experiments around the more unusual observations — particularly around communication, pace, serendipity, and the relational framing of AI.

Coming Next

Our Next Stage of Inquiry

During the next phase we are encouraging participants to experiment by selecting one or more AI tools to use across different life domains:

Work Home Creative Enterprise Community Health & Wellbeing Personal Relationships And more…

We are particularly interested in generative AI tools that extend cognitive capacity and provide emotional support. Participants will gather what they have learned into short case studies, which we will discuss together at our next meeting on Thursday 16 April.

Watch this space.

Living & Learning with AI  ·  R&D Group  ·  March 2026
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