AI Safety Institute

A significant function in assessing AI technologies

The recently unveiled Artificial Intelligence Safety Institute is poised to assume a pivotal role in the appraisal of AI technologies, including Large Language Models and the various applications constructed upon them. This institution is expected to exert considerable sway over governmental policy pertaining to AI, contribute insights to the allocation of government funds for AI research, and serve as a vital conduit linking governmental and industrial sectors in this field. The AI Safety Taskforce, under the leadership of Ian Hogarth, will spearhead the operations of the institute.

The research of the AI Safety Institute will inform UK and international policymaking and provide technical tools for governance and regulation. Possible examples of technical tools include secure methods to fine-tune systems with sensitive data, platforms to solicit collective input and participation in model training and risk assessment, or techniques to analyse training data for bias.

The Institute is not a regulator and will not determine government regulation. It will collaborate with existing organisations within government, academia, civil society, and the private sector to avoid duplication, ensuring that activity is both informing and complementing the UK’s regulatory approach to AI as set out in the AI Regulation White Paper. It will provide foundational insights to our governance regime and be a leading player in ensuring that the UK takes an evidence-based, proportionate response to regulating the risks of AI. 

Read the full policy paper AI Safety Institute: overview – GOV.UK (

Written by Alan Brown

Prof. Alan Brown has been delivering impact as an entrepreneur and in business for over 30 years, working in start-ups and large enterprises to enable software delivery to power business transformation. He is also a university professor, researcher, coach, and trusted adviser to C-level executives in the public and private sector. He has written several books on enterprise software delivery and digital transformation, and holds a Professorship in Digital Economy at the University of Exeter, UK and is a Fellow of the Alan Turing Institute, the UK National institute for data science and AI.

In his capacity as the Deputy Director of the Defence Data Research Centre (DDRC) and serving as the Principal Investigator (PI) for the Data Management division within the DDRC's research program, Alan is actively engaged in a multifaceted research agenda. His responsibilities include investigating contemporary best practices in data management for artificial intelligence and decision-making, conducting a comprehensive review of existing data management practices within select areas of the Ministry of Defence (MoD), and undertaking a needs analysis aimed at informing the requirements of data architects and managers in the context of AI and decision-making processes.

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