KMi News

KMi at Dagstuhl: Shaping the Future of Knowledge Graph-Based AI

KMi at Dagstuhl: Shaping the Future of Knowledge Graph-Based AI

Last week, Prof. John Domingue and Dr Aisling Third attended a highly influential Dagstuhl Seminar focused on trust, accountability, and self-determination in AI, particularly in systems built on Knowledge Graphs (KGs) (John served as a co-Chair).

Why Knowledge Graphs Matter

With AI increasingly reshaping the world and driving our most powerful digital platforms—from Google and Netflix to Spotify and Facebook—KGs serve as a foundational technology, structuring vast amounts of web data into machine-readable knowledge. However, as the power of AI continues to increase, concerns over transparency, data privacy, and AI accountability continue to grow, prompting discussions on how to align AI broadly with societal benefits and human rights.

Key Seminar Topics

The event brought together global experts from all over Europe, and the US, Japan, Chile, and Brazil, including Jim Hendler, co-author of the seminal 2001 Semantic Web paper with Sir Tim Berners-Lee, and the ensuing discussions explored:

  • Computer Using Personal Agents
  • Integrating LLMs with Knowledge Graphs
  • Developing Knowledge Graph Ecosystems
  • Machine-Readable Policy Descriptions (ODRL-based), and 
  • Evaluating AI-based systems

Big Questions on AI Ethics

Additionally attendees tackled the following critical questions:

  • How can AI be made accountable for its decisions?
  • What ensures AI systems remain transparent?
  • How can users retain autonomy in AI-driven environments?

Outcomes & Impact

The intense week led to the completion of one paper on personal agents and draft versions of several others. The attendees agreed to collaborate over the next weeks to create a manifesto outlining how  trust, accountability, and autonomy in AI systems can be enhanced at the role that Knowledge Graphs will play in that. 

Looking Ahead

With overwhelmingly positive feedback, many attendees mentioned that it was one of the best seminars they’ve ever attended. As AI regulation tightens worldwide, KMi continues to play a crucial role in shaping responsible and ethical AI practices.

Related links: 

Celebrating Ángel Pavón Pérez’s Success: A Milestone in Fair and Responsible AI Research 

Celebrating Ángel Pavón Pérez’s Success: A Milestone in Fair and Responsible AI Research 

KMi is thrilled to announce that Ángel Pavón Pérez has successfully passed his viva on 28 January 2025. His groundbreaking research, titled “Enhancing Fairness in Machine Learning: Identifying and Mitigating Bias with a Focus on Gender Bias in Finance”, marks a significant contribution to the field of responsible AI.  

Ángel’s work addresses critical challenges in Machine Learning (ML) by developing innovative methods to identify and mitigate bias, particularly gender bias in financial systems. His research introduces novel approaches to uncover hidden biases, even when sensitive data is unavailable, and balances multiple fairness constraints in ML models. These advancements pave the way for more equitable AI applications particularly in high-risk domains for bias, such as finance.  

Supervised by Miriam Fernandez, Gregoire Burel, Harith Alani, and Hasan Al-Madfai, Ángel’s work was examined by an esteemed committee, including Paul Piwek (internal) and Danica Greetham (external). His achievements reflect KMi’s commitment to cutting-edge research with real-world impact.  

Looking ahead, Ángel will continue his journey as a Research Associate at the Centre for Protecting Women Online, where he will further explore responsible AI. Congratulations, Ángel, on this remarkable achievement! We look forward to seeing your continued contributions to the field.  

Stay tuned for more updates on KMi’s pioneering research in AI and beyond!

KMi-led robotics project receives major funding to enhance hospital efficiency and safety

KMi-led robotics project receives major funding to enhance hospital efficiency and safety

A pioneering robotics project, led by Prof Enrico Motta’s team at KMi, has secured Innovate UK funding to improve hospital efficiency and safety. This initiative aims to revolutionise hospital efficiency and safety through the deployment of AI-driven robots. These smart robots will handle routine tasks, such as delivering medicines, while simultaneously identifying and addressing safety hazards like intruders, wandering patients, and floor hazards.

This project builds on Agnese Chiatti’s award-winning PhD research at the OU. Agnese developed a robot capable of recognising environmental hazards, such as fire risks, a breakthrough that earned her the prestigious L’Oréal-UNESCO Award for Women in Science. Her work laid the foundation for applying robotics in real-world settings, particularly in healthcare.

In partnership with Swift Robotics, a local startup specialising in robots for hospitals and shopping centres, the project will enhance robots to take on complex responsibilities. The robots will be trialled at MK University Hospital. By automating routine deliveries and identifying risks in real-time, these robots will free up staff to focus on critical patient care, improving hospital safety and potentially saving lives. The societal impact of this project is potentially highly significant. It offers cost-saving benefits while enhancing efficiency and safety in hospitals. If successful, this innovative approach could see widespread adoption across healthcare systems in the UK and beyond.

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.

Related links:

Climate misinformation surveillance project secures €1 million grant

Climate misinformation surveillance project secures €1 million grant