AI for extended research across knowledge led organisations

‘Oh I used ChatGPT to help write that.’ The next generation are embracing AI at a pace. The Universities claim they have tools to detect AI-generated essays and lecturers can often spot tell-tale lazy signs of AI use. Students widely use it for grammar checks, baseline research, lists and can even set the referencing style. It becomes another tool for their research. The issues arise when the outputs blur academic integrity and promote plagiarism.

These students are leaving colleges and universities to come into the workplace, almost being semi-trained in new technology. Why would a new researcher not use ChatGPT, Gemini and others to help them perform better at their job? The AI application guardrails need to be clearly set out at a company or organisational level.

Publishing and research led organisations with a back issues of important research, technical documents, and whitepapers often get asked how can we extend this knowledge into a customer’s own organisation? Incorporate your relevant knowledge with our information to improve our mission.

One challenge is that organisations often find it hard to localise their content to individual customer situations. Take the case today of large Global Standard Development Organisations (SDO) that are used to selling the same simple access to static PDFs of their intellectual property. Their customers and members are increasingly frustrated at how little integration is permitted to have the SDO knowledge near their own relevant data inside their operations. Businesses are already starting to use AI to check compliance, so why can clauses of a Standard not also be validated in context with AI? The licencing models to permit this are complicated but there is a growing appreciation of remaining relevant at both ends, the SDO content creator and paying customer. Both are content rich and extended research using GenAI and GenBI could offer a bridge to the problem.

This is a point of GenAI in research. Everyone’s context is different. Research can come from many different pathways to reach the same outcome. GenAI is an enabler to extracting context at scale and building knowledge graphs of relevancy, potentially aggregating member body content and specific organisational knowledge into a single context driven outcome. GenBI compiles the outcomes into specific relevant context driven reports. These secure extended uses of knowledge arguably build better researchers and organisations utilising the outcomes.

This can only make the organisational knowledge more integrated and relevant inside a business or organisation – a mission objective surely. Others have already started the journey.

Burleigh Dodds Science Publishing is a leading publisher delivering high quality customer-focused agricultural science research and moving towards the Librios GenBI models to deliver more contextual relevance to their B2B customers.