The DPO Centre publishes new white paper on LLM governance

Large Language Models (LLMs) are already helping teams with a wide range of tasks from drafting first versions and summarising long documents to supporting customer queries. Yet many organisations are deploying these tools without fully addressing the data protection, governance, and compliance risks they introduce.  

To help organisations address these challenges, The DPO Centre has published a new white paper:
Deploying LLMs with confidence: Data protection and AI compliance in the age of Large Language Models.  

Written by data protection and AI governanceThe framework of policies, processes, and roles that ensure Artificial Intelligence (AI) is developed and used responsibly, ethically, and in compliance with applicable laws, societal expectations, and corporate values.  specialists, the white paper supports organisations that are already using LLMs, or planning to introduce them, and need a clear framework to manage the risks.  

It looks at the key questions many teams are now facing: 

• What data is being entered into LLM tools? 
• Have suppliers, security controls, and employee access been properly checked? 
• How will outputs, accuracyIn data protection terms, the concept of ensuring data is not incorrect or misleading., bias, and ongoing use be monitored? 

The guide provides a useful framework, built around eight pillars, with a checklist to support organisations in reviewing their current use of LLMs. 

David Smith, DPO and AI Sector Lead explains: 

‘Most organisations are not starting from zero with LLMs. These tools are already being used by teams, and often in ways that are difficult to track. This white paper gives organisations a good starting point for understanding their risks and putting better AI governance in place.’ 

Download the full white paper here