Topic Hub: AI
The inaugural AI in KE Special Interest Group brought together knowledge exchange, commercialisation and innovation professionals to share experiences of using AI across their organisations. Discussions highlighted strong interest in AI, alongside varying levels of adoption, confidence and organisational maturity. Participants exchanged practical use cases, explored emerging tools and reflected on the opportunities and challenges AI presents for the sector.
Current Applications and Use Cases
Attendees shared examples of how AI is being used to support a wide range of activities, including market assessment, technology commercialisation, business development, funding support, meeting summaries and administrative tasks. Generative AI tools were recognised as valuable for increasing efficiency, reducing manual workload and supporting idea generation.
Balancing Efficiency with Accuracy
A recurring theme was the need to balance productivity gains with confidence in AI-generated outputs. While participants reported significant time savings, many emphasised the importance of reviewing, validating and refining outputs to ensure accuracy, relevance and context. There was broad agreement that AI currently works best as a support tool rather than a replacement for professional judgement and expertise.
Governance, Consistency and Risk Management
The group discussed the importance of developing clear organisational approaches to AI adoption. Topics included prompt libraries, team guidelines, consistency of outputs, data security and the management of intellectual property risks. Participants noted that establishing trusted processes will be essential as AI becomes more integrated into knowledge exchange and commercialisation activities.
Emerging Tools and Technologies
Several specialist AI platforms designed for technology transfer, market intelligence and commercial analysis were discussed alongside more widely used tools such as Copilot, Claude and ChatGPT. Conversations focused on the strengths and limitations of different solutions, particularly the trade-off between automated workflows, flexibility and transparency.
Building Skills and Confidence
Participants highlighted the need for ongoing learning, recognising that many professionals are still developing their understanding of AI concepts, terminology and prompting techniques. The discussion reinforced the value of peer-to-peer knowledge sharing, practical demonstrations and access to examples of effective AI use within the sector.
Looking Ahead
There was strong enthusiasm for continuing the conversation through future SIG meetings. Members expressed a desire to share best practice, showcase successful approaches, explore new tools and collectively address challenges associated with AI adoption in knowledge exchange. The group recognised the potential of this community to support informed, responsible and effective use of AI across the sector.
This summary has been prepared in accordance with the Chatham House Rule. It reflects discussion themes and insights without identifying individuals or attributing comments to specific organisations.
Strong REF impact case studies have always relied on careful judgement and a substantial body of evidence. As demonstrated in this webinar, AI, Copilot agents and Gemini agents can now take on more of that work, freeing teams to focus on the areas that require human expertise.
In this 30-minute webinar, Sahand Zanjani Pour, Senior Consultant and AI & Digital Strategy Lead at Oxentia, explored how Knowledge Exchange, REF and impact teams can use these agents to triage and rank draft case studies, strengthen narratives, map impact pathways, identify missing evidence, and uncover additional impact worth reporting.
Drawing on practical examples, the session examined what AI can do today, where human judgement continues to be essential, and how teams can adopt these tools safely and effectively.
Please find below the recording and presentation:
Artificial Intelligence (AI) had already begun reshaping how technology transfer offices operated — enabling faster analyses, automated drafting, and new tools for scouting and triage. But as these capabilities grew, so did the bigger questions: what did this mean for our roles, our teams, and the future identity of the profession?
We held a focused online forum where TTOs shared real examples of how they had been using AI, what they were learning, and where they saw the emerging opportunities and concerns.
This session was the first step in a wider Knowledge Exchange UK (KEUK) programme looking at how we, as a community, responded to the biggest technological shift our profession had faced. Everyone was welcome — whether they had been hands-on with AI already or were just beginning to explore what it meant.
Facilitators:
- Mike Smith – Senior Research Commercialisation Manager, University of Bristol
- Tamsin Mann – Associate Director Sector Engagement, Knowledge Exchange UK
Please find below the recording, presentation and useful links.
How artificial intelligence leads to positive growth: utilising AI to develop new partnerships and revenue streams for your office and university
FirstIgnite shared real-world examples of how their partners are using artificial intelligence in their daily work to build engagement for their initiatives.
Speakers:
- Tamsin Mann – Associate Director Sector Engagement, Knowledge Exchange UK
- David Melie – Head of Partnerships, FirstIgnite

FirstIgnite:
FirstIgnite is an artificial intelligence software which connects universities with companies and contacts interested in their initiatives.
Please find below the recording and useful links:
Useful links:
This practical session with IP expert Paul Roscoe (Appleyard Lees) explored how to protect AI inventions effectively.
Attendees explored what it takes to secure protection for AI-driven technologies through real-world scenarios — including autonomy stacks in self-driving vehicles and a computer vision system.
The session provided clear insights into what can (and can’t) be patented, helping attendees support researchers navigating the evolving landscape of AI intellectual property protection.
Speakers:
- Tamsin Mann – Associate Director Sector Engagement, Knowledge Exchange UK
- Paul Roscoe – Partner, Appleyard Lees IP LLP

Appleyard Lees
Appleyard Lees is a leading intellectual property law firm, with almost 80 patent and trademark attorneys and IP solicitors. It supports clients from a broad range of industries, including chemistry, life sciences, electronics and software, engineering, and physics. Its UK and overseas client roster include start-ups and scale ups, SMEs, University spin-outs, as well as multi-national companies.
Please find below the recording and presentation:
In an increasingly competitive academic landscape, the ability to effectively showcase impact is vital for universities seeking to engage with their local communities, funding agencies, and increase partnerships with non-academic sectors.
In this webinar, we offered a first look at how Elsevier tools can support evidencing impact, focusing on SciVal Impact and the soon-to-be-released Pure Impact AI — a new capability designed to help institutions and funders articulate the societal impact of research with clarity and confidence.
Through case studies illustrating the power of data-informed storytelling, we demonstrated how these narratives can strengthen relationships with external stakeholders and elevate an institution’s reputation in the academic community.
View the recording to explore how Elsevier Impact tools work, who they are for, and how they can help transform the way we communicate research impact.

Speakers:
- Arnie King – Social Venture Building Community of Practice Coordinator, Knowledge Exchange UK
- Sean D. Newell – SD Strategic Business Development, Elsevier
- Sahar Abuelbashar – Account Manager RI Solution Sales, Elsevier
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Elsevier
Withers & Rogers is one of Europe’s largest dedicated intellectual property law firms, with offices across the UK, Paris and Munich. Our clients include renowned, innovative organisations from multinational corporations through to universities and start-ups from across the globe.
We offer a comprehensive service extending to both securing IP rights (such as patents, trade mark, and design registrations) and advising on their exploitation and enforcement. We also provide proactive support functions that help our clients keep track of their IP, stay on top of its maintenance and in control of costs. Our dedicated Higher Education sector team focuses on providing bespoke services and added value for our University clients.
Recognition of the strategic importance of intellectual property is growing rapidly. To help our clients make the most of their creativity, we build strategies that embrace critical areas including innovation culture, due diligence and invention management.
Please find below the recording and presentation:
How is your university office strategically growing? Are you leveraging AI to build new revenue streams and partnerships around your university’s research?
In this webinar, FirstIgnite shared how universities around the world have been using their AI software to develop powerful partnerships in seconds with organisations interested in their initiatives.
Speakers:
- Tamsin Mann – Associate Director Sector Engagement, Knowledge Exchange UK
- David Melie – Head of Partnerships, FirstIgnite

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FirstIgnite:
FirstIgnite is an artificial intelligence software which connects universities with companies and contacts interested in their initiatives.
Please find below the recording:
The myths surrounding Artificial Intelligence (“AI”) patentability had long been uncertain, particularly in the context of universities and medical research innovations.
Diego Black addressed some of these myths about patenting AI and provided useful insights for tech transfer officers and laboratory-based innovators.
He explored which types of software inventions, including AI in a life sciences setting, could be patented and discussed the characteristics that made an AI invention more likely to be patentable.
Diego answered specific questions, such as:
- Were some AI inventions intrinsically more patentable than others?
- How “AI friendly” was the European Patent Office?
- How could someone determine if their Medical AI invention was patentable?

Speakers:
- Tamsin Mann – Head of Policy and Governance, Knowledge Exchange UK
- Dr Diego Black – Partner & Patent Attorney, Withers & Rogers
- Dr Helen Henderson – Partner & Patent Attorney, Withers & Rogers
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Withers & Rogers:
Withers & Rogers is one of Europe’s largest dedicated intellectual property law firms, with offices across the UK, Paris and Munich. Our clients include renowned, innovative organisations from multinational corporations through to universities and start-ups from across the globe.
We offer a comprehensive service extending to both securing IP rights (such as patents, trade mark, and design registrations) and advising on their exploitation and enforcement. We also provide proactive support functions that help our clients keep track of their IP, stay on top of its maintenance and in control of costs. Our dedicated Higher Education sector team focuses on providing bespoke services and added value for our University clients.
Recognition of the strategic importance of intellectual property is growing rapidly. To help our clients make the most of their creativity, we build strategies that embrace critical areas including innovation culture, due diligence and invention management.
Please find below the recording, presentations and useful links
Embark on a journey through the evolving landscape of AI regulation, with a focus on the EU AI Act. As a member of the KE Community, you have been at the forefront of innovation, making it crucial to stay informed about the legal frameworks shaping AI’s future. We decoded the complexities of the EU’s groundbreaking AI legislation, considered its impact on TTOs, and explored emerging AI trends. In this session, we shared a helicopter view of AI regulation across the globe, along with real-world scenarios and practical insights.
Speakers:
- Tamsin Mann – Head of Policy and Governance | PraxisAuril
- Ashley Williams – Corporate Partner and Co-Lead of the Technology Transactions Group | Mishcon de Reya
- Nicola McConville – Corporate Partner | Mishcon de Reya
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Mishcon de Reya
Mishcon de Reya, a leader in legal services for tech transactions, is dedicated to empowering tech-focused companies and global enterprises. Our expertise lies in helping clients harness their technology potential while ensuring data protection compliance. Leading the discussion will be two of our esteemed partners:
- Ashley Williams, Corporate Partner and Co-Lead of the Technology Transactions Group, is a key thought leader in the tech space. Ashley’s extensive experience spans across various industries, with a special focus on AI, assisting clients to navigate and capitalise on technology assets and data protection issues.
- Nicola McConville, Corporate Partner, specialises in supporting companies and investors from early funding rounds to successful exits. Nicola’s expertise is particularly valuable to university spin-outs and start-ups in the tech and innovation sectors, advising on legal and governance matters, including IP protection and commercialisation.
Please find below the recording, presentations and useful links
Multidisciplinary inventions have become more commonplace in recent years, particularly as artificial intelligence (AI) is being used as a tool in a wide range of biotech applications, such as medical image analysis and drug discovery. However, whereas biotech inventions may generally be considered to relate to inherently patentable subject matter, biotech inventions that are implemented using a computer or AI may have an additional hurdle to pass. In this article, we explore this additional hurdle by looking at why a patent application that relates to bioinformatics has been objected to by both the UK and US Patent Offices.
Subject Matter of the Patent Applications
GB1514871.1 and US14/824,678 both relate to identifying primers. Primers are typically short fragments of single-stranded DNA which are complementary to a region of interest in a target DNA strand. Primers are typically used in polymerase chain reaction (PCR) experiments to very quickly make multiple copies of a DNA strand (or a segment of it). Having thousands or millions of copies of a DNA strand makes it easier to perform experiments such as medical or forensic tests. These patent applications relate to a method of identifying primer pairs within large-scale genomic or DNA sequence datasets. Primer pairs provide the starting point for the PCR experiment to begin the copying process.
The method described in the patent applications enables all potential primer pairs to be identified for particular sequence data. The method is a single computer program which includes all the design steps which are normally performed separately. Thus, the method can be performed efficiently over a large amount of sequence data, such that it can identify all potential primer pairs for that dataset. This was considered by the Applicant to be an advantage of the invention.
Patentable Subject Matter in the UK
From the summary above, it seems that the claimed method has a real-world effect, namely that of finding better potential primers for use in DNA amplification reactions (such as PCR), which are used in a variety of different fields such as medical testing, diagnosis of infectious diseases, criminal forensics, research and even identifying the remains of Egyptian mummies and English king Richard III.
However, the UK Patent Office considered the claimed method related to subject matter that is excluded from patentability under Section 1(2) of the UK Patents Act 1977 (UKPA), which states that “a program for a computer” is not considered to be patentable subject matter as such.
In the UK, a program for computer is only considered patentable subject matter if it can be shown that the contribution provided by the computer program is technical in nature. This was established in Aerotel (Aerotel Ltd v Telco Holdings Ltd and Macrossan’s Application [2006] EWCA Civ 1371).
In his analysis, the Hearing Officer at UK Patent Office considered the contribution of the computer program defined by claim 1 to be “the provision of the parallelized algorithm that allows the implementation of the primer search and filtering on a computer cluster”. The Applicant tried to argue that the contribution was of a technical nature for the same reasons that the invention in Halliburton (Halliburton Energy Services Inc’s Patent Application [2012] RPC 12) was considered to provide a technical contribution. In Halliburton, a method of designing a drill bit using a computer was not considered to relate to excluded subject matter because the method claim included the step of “manufacturing a drill bit to any optimized design”. However, the Hearing Officer was not convinced that the present case was comparable to Halliburton, because the result of the claimed method in the present case is a database of all potential pairs for a given set of sequence data. In other words, the result may be a reduced, but still large, dataset of sequences of primer pairs, which is not a narrow result or set of results as per Halliburton. Furthermore, the Hearing Officer did not consider this result to be something specific and external to the computer. That is, the identification of the primer pairs was too generic and not identified or further filtered for a specific technical purpose. As a result, the UK application was refused.
The Corresponding US Patent Application
The corresponding US patent application is still pending, but earlier this year the USPTO Examiner raised an inherent patentability objection against the pending claims. Specifically, the US Examiner considers the claims to be directed to a judicial exception, i.e. an abstract idea, without significantly more. In the US, following Alice (Alice Corp. v. CLS Bank International, 573 U.S. 208, 134 S. Ct. 2347 (2014)) and more recent Federal Circuit decisions, determining whether a patent application relates to patentable subject matter (i.e. “statutory subject matter”) generally involves determining if the combination of the elements or steps in a claim amount to significantly more than the judicial exception by meaningfully limiting the judicial exception.
The USPTO Examiner considers the claims to relate to an abstract idea because the method relies on “organizing, and comparing sequence data…through mathematical correlations and performing mathematical operations”. Furthermore, the Examiner considers it possible to perform each of the steps of the claimed method as a mental process or on paper. Further still, the Examiner considers generic computer structures and functions to be used to perform the method, such that the claimed method does not amount to significantly more than an abstract idea.
Conclusion
Patent applications for biotech inventions which use computer programs or AI to perform some analysis or processing will likely be considered to relate to computer-implemented inventions. Therefore, these patent applications may be treated slightly differently by the Patent Offices compared to more typical biotech inventions. Specifically, the patent applications will need to meet the same requirements for patentability as other software or computer-implemented inventions. At the patent drafting stage, we can work with you to both draw out the technical advantages and present them in a such way that the invention meets the patentability requirements of multiple jurisdictions, as we understand the current viewpoints of the Patent Offices in, for example, Europe, China, the US and the UK. We also routinely work in customised teams, bringing together patent attorneys with the relevant backgrounds to work on a multidisciplinary invention. Contact us for a confidential conversation if you have any questions about the above or think this may impact your patent portfolio.
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