Marie Oldfield

Marie Oldfield is a prominent researcher at the University of Portsmouth with a PhD in Computer Science, specializing in the intersection of AI ethics, philosophy of technology, and policy development. She has founded the Institute of Science and Technology Professional AI Standards, Frameworks and Training Programmes, which has gained national and international recognition as world-leading in AI best practices. As an AI ethics consultant to the UK government and founder of Oldfield Consultancy (www.oldfieldconsultancy.co.uk), she helps clients mitigate financial and reputation risks in AI development through best practices.

Her research interests span AI ethics, anthropomorphism in technology, dehumanization through digital interfaces, gender issues in technology, and risk assessment in AI systems. Oldfield's work consistently addresses the philosophical underpinnings of technology implementation while maintaining practical relevance for industry and policy makers. Her publications demonstrate a strong focus on interdisciplinary approaches to AI development and governance.

Analysis of her 15 most recent publications reveals a consistent trajectory exploring the ethical implications of AI implementation across various domains. Her work shows particular concern with anthropomorphism's impact on human perception of technology, the gender disparities in tech fields, and the critical need for interdisciplinary collaboration in AI development. She frequently addresses gaps in current regulatory frameworks and educational curricula regarding ethical AI development.

• AI ethics framework development
• Professional standards for AI practitioners
• Risk assessment methodologies
• Gender equity in technology fields
• Government policy development

Oldfield's consulting work with the UK government and her institute's training programs (available at www.istonline.org.uk) demonstrate her commitment to translating academic research into practical applications. Her approach emphasizes the need for context-aware AI development that considers human factors and societal impacts, frequently drawing connections between philosophical principles and technical implementation challenges.