Nancy Pontika

Taking AI out of the Lab: Real-world data collection at The Saxon Clinic

Taking AI out of the Lab: Real-world data collection at The Saxon Clinic
Resilience Enterprise team

Building on the momentum of the Innovate UK–funded initiative at KMi to reimagine hospital efficiency, the project has reached an exciting new milestone. Under the guidance of Prof Enrico Motta, our autonomous robot stepped beyond the confines of the laboratory and into the living, breathing environment of The Saxon Clinic, embarking on an intensive real-world data collection mission.

Creating cognitive robots for healthcare is not simply a technical challenge, it demands immersion in the complexity and rhythm of real clinical spaces. As the robot navigated bustling corridors and treatment rooms, it captured a rich and diverse dataset of medical equipment, everyday clinical objects, and spatial layouts. This growing repository of visual intelligence now fuels the next phase of innovation, powering deep learning models designed to interpret and respond to complex healthcare environments. The newly gathered images are being integrated into large-scale object detection pipelines capable of recognising over 100 distinct objects, from critical medical supplies to potential safety hazards. These advances feed into hybrid AI architectures that combine visual perception with common-sense reasoning, bringing us closer to robots that can move safely and intelligently through dynamic hospital settings.

Such progress is made possible through strong collaboration. This field mission brought together Krishna Pavani Munta, Research Assistant in Cognitive Robotics at KMi; Kelvin Benny, AI Engineer at Swift Robotics; and Ilyass Trann, AI Intern at The Open University. We are also deeply grateful to the staff at The Saxon Clinic, whose support and expertise were instrumental in helping us understand and map the operational environment.

This international effort, part of the Eureka framework’s “Resilient Enterprise” initiative, includes collaborators from Finland, Switzerland, South Korea, and the UK. The OU’s role focuses on healthcare robotics, leveraging long-standing partnerships, including one with Finland’s VTT Technical Research Centre.

Finally, this project also contributes to the MK:Smart initiative, a research programme launched in 2014, which fosters innovation and the smart city agenda in Milton Keynes.

KMi research informs parliamentary debate on AI, labour, and gender inequality

KMi research informs parliamentary debate on AI, labour, and gender inequality

KMi’s Prof Miriam Fernandez was recently invited to contribute to a roundtable discussion at the UK Parliament organised by Fawcett Society in collaboration with the Misogyny & AI Network. The discussion brought together MPs, peers, barristers, trade unions, researchers, civil servants, and women’s sector leaders to discuss artificial intelligence and its impact on women’s lives.

Representing the Centre for Protecting Women Online (CPWO) and KMi, Prof Fernandez presented the results of a Responsible Ai UK funded project in which the team explored how AI is shaping the labour market, with a particular focus on its implications for the gender pay gap and the future of women’s work. Key takeaways, and policy recommendations are outlined in a working paper. In particular, the report highlights the disproportionate risk for women in the most vulnerable positions and recommends targeted upskilling programs for women in occupations with high AI exposure, particularly in healthcare, administrative and professional service roles. 

This engagement builds on KMi’s strengths in Responsible AI, socio‑technical systems, and data‑driven social research, demonstrating how rigorous academic work can inform real‑world policy debates. By connecting research evidence to decision‑makers, the work supports The Open University’s mission to deliver research with clear public value, contributing to fairer labour markets, better AI governance, and a more equitable digital future.

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KMi is addressing technology‑facilitated gender‑based violence

KMi is addressing technology‑facilitated gender‑based violence

Research from KMi is contributing to international debates on technology‑facilitated gender‑based violence (TFGBV), as Prof Miriam Fernandez presents work from The Open University’s Centre for Protecting Women Online (CPWO) across major academic, policy, and public forums.

Earlier this year, Prof Fernandez was an invited speaker at the (Re)Claiming Our Space Conference in Nicosia, organised by the Mediterranean Institute of Gender Studies (MIGS). Her talk examined how digital technologies are increasingly weaponised against women and girls, with a particular focus on gendered disinformation and the role of AI‑driven platforms in amplifying harm.

These themes were also explored in a more technical context at the Women in Forensic Computing Workshop, held alongside DFRWS EU 2026 in Sweden. Bringing together researchers and practitioners in digital forensics, law, and AI, the workshop addressed emerging challenges such as deepfakes, AI‑enabled abuse, and the evidential complexity of documenting online harm.

CPWO’s research has also been featured in O’s “So What?” series, helping translate complex findings for wider audiences and highlighting the need for safety‑by‑design, stronger legal frameworks, and improved public understanding of digital harms.

This body of work reflects KMi’s core strengths in Responsible AI, socio‑technical systems, data‑driven social research, and ethical technology design. Strategically, it supports the University’s mission to deliver research with clear public value, benefiting students, informing policy, and contributing to a safer and more equitable digital world.

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From lab to standard: KMi research behind the new W3C Data Façades community group

From lab to standard: KMi research behind the new W3C Data Façades community group