Are we building ethical AI chatbots in our scientific disciplines and industry sectors? There are many aspects to ethical AI for domain chatbot apps powered by Large Language Models (LLM). From a human centric perspective these include (1) privacy and data protection, (2) equality and non-discrimination and (3) transparency and explainability. From a content and... Continue Reading →

Rocks, Birds, Water and Space? Not a trivia question but a rather innovative new online course for Machine Learning in the Natural Sciences from Portland State University Department of Geology. After being taught the basics of machine learning you can choose your topic of interest and dataset (rocks, birds, water or space) then follow a... Continue Reading →

I co-authored a paper presented at the Geological Society of London late last year on the topic of transitioning geoscience (literature) into the age of AI. The aim is to inject more creativity into the way we explore big data geoscience documentation and release free, easy to use web apps using techniques enabled by AI. The... Continue Reading →

Enjoyed giving the guest lecture today with Pascal Ezenkwu and students on the Energy Data Management with Business Analytics course at Robert Gordon University in Aberdeen. We covered Natural Language Processing, Large Language Models in Geoscience and the Subsurface, and the changing role of the data manager.  Lots of wonderful questions about skills (both soft... Continue Reading →

The Global Forum on the ethics of AI took place recently in Kranj. Reading through the literature I was interested in the UNESCO recommendation on core values, particularly one on transparency: "The ethical deployment of AI systems depends on their transparency & explainability (T&E)." This relates to my "3 Laws" article last year. https://paulhcleverley.com/2023/10/26/the-three-laws-of-data-management/ I... Continue Reading →

Some excellent open access papers published this week in the Geoscience Data Journal special issue. The preface states, "Studying a changing world requires observations going back in time to extend and contextualize our latest scientific knowledge. Old legacy data exist in non-digital formats. Thus, techniques and methodologies for the preservation, dissemination, interpretation, homogenization, calibration, and... Continue Reading →

An Open Platform for Geochemical Data Preservation, Dissemination and Synthesis. I came accoss this open data platform recently. A group of Australian university research laboratories (AuScope Geochemistry Network) built a collaborative platform to collate, preserve and disseminate geochronology and isotopic data. https://ausgeochem.auscope. Boone, S.C., Dalton, H., Prent, A., Kohlmann, F., Theile, M., Gréau, Y., Florin,... Continue Reading →

Interesting paper published by Jones et al (2024) on applying Optical Character Recognition (OCR) and NLP to hand written archives. Some descriptions date to the 18th century with over 2 Billion records in the Global Biodiversity Information Facility (GBIF), including habitat information related to geographical location, land cover, hydrological, soil and bedrock. "Habitat data can... Continue Reading →

The European Geosciences Union (EGU) has recently released guidelines for the use of AI-based tools in the publication process. This is to help ensure the ethical use of AI tools in the rapidly evolving landscape of scholarly communication. https://www.egu.eu/news/1031/statement-on-the-use-of-ai-based-tools-for-the-presentation-and-publication-of-research-results-in-earth-planetary-and-space-science/ The American Geophysical Union (AGU) published their guidelines for ethical use of AI last year: https://news.agu.org/press-release/agu-publishes-guidelines-for-the-ethical-use-of-ai-in-the-earth-and-space-sciences/ Rivas... Continue Reading →

I met the Prime Minister today at No 10. Interesting to discuss various topics with those present. I discussed the importance of geoscience, the subsurface, artificial intelligence and data management.