👩🏾💻 CEO at @Stemettes, Author, Speaker & Presenter 📚 She's in CTRL 🎤 Chair @udmusicldn + @FutureWorkInst 📺 61eps of C4 Countdown 🎙#WomenTechCharge pod
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I bookmarked this because it reinforces something we often overlook.
Culture is not decoration in education or work. It is infrastructure. People adapt to what is rewarded, celebrated and protected, whether we intend that or not.
school-education.ec.europa.e…
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What stood out here was not confidence, but restraint.
Good leadership in uncertain systems looks less like certainty and more like probability management. You design for resilience and accept variability rather than pretending control equals stability.
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The data here feels quietly revealing rather than dramatic.
Most people do not change jobs impulsively. They respond to incentives, pressure and timing. A lot of what we call “choice” is careful calculation under constraint.
workplacejournal.co.uk/2026/…
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Leadership decisions are usually made under constraint, with imperfect information and real consequences. The work is rarely choosing the best option, it is owning the trade-offs.
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I found myself reading this twice, partly because curriculum debates are rarely framed honestly.
What we teach shapes outcomes. What we omit shapes them too. Systems tend to do exactly what they are designed to do.
theguardian.com/education/20…
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This made me pause. Pattern recognition, abstraction and interpretation sit at the heart of both maths and the arts. When education systems separate them, they quietly narrow how many people get to feel capable.
theguardian.com/education/20…
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Culture is not a distraction from STEM and STEAM. It is distribution. If people never see themselves in tech, they rarely choose it.
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STEM does not scale through policy alone. Culture decides who feels welcome long before a job description does. Visibility shapes comfort zones.
theguardian.com/technology/2…
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If you think the tech sector “solved equality” when a few women made it to senior roles you are wrong. Inclusion is not a headline number. It is culture, practice and lived experience every day.
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Public sector AI ambition often stalls on unglamorous basics. Data quality, governance and legacy systems decide whether progress is real or cosmetic.
publications.parliament.uk/p…
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When the same people keep carrying the load, plates become unstable. Talent leaving is not a mystery. It is a predictable outcome of system design.
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Entry-level diversity figures can look encouraging. Retention and leadership figures tell the real story. Inclusion fails quietly when people leave.
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When technology enters intimate spaces, maturity matters. Design intent is not the same as real-world use. Responsible tech has to account for both.
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People in the UK are already using AI for emotional support. That is not a future scenario. It is happening now, quietly and at scale.
theguardian.com/technology/2…
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People in the UK are already using AI for emotional support. That is not a future scenario. It is happening now, quietly and at scale.
theguardian.com/technology/2…
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Progress not perfection applies to AI too. Measure early. Correct early. Pretending systems are neutral rarely ends well.
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AI risk is not just about models and compute. It is about who is in the room when trade-offs are made and whose realities are assumed to be “edge cases”.
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The UK’s AI ambition is clear. What matters now is how responsibly we move at speed. Technical excellence without social literacy creates brittle systems, not leadership.
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