An overview of the Auditing Framework for Artificial Intelligence and its core components
26 Mar 2019 01:18 PM
Reuben Binns, our Research Fellow in AI, and Valeria Gallo, ICO Technology Policy Advisor, outline the proposed structure, core components and areas of focus of the ICO’s new auditing framework for artificial intelligence (AI).
Last week Simon McDougall invited
comment from organisations on the development of our auditing framework for AI. The framework will support the work of our investigation and assurance teams when assessing the compliance of data controllers using AI and help guide organisations on the management of data protection risks arising from AI applications.
As promised, we will be posting regularly about the development of the framework and our thinking, and we want your feedback at all stages.
In this post we will briefly outline the framework’s two key components (Figure one), which are:
- governance and accountability; and
- AI-specific risk areas.
The governance and accountability component will discuss the measures an organisation must have in place to be compliant with data protection requirements.
The second component will focus on the potential data protection risks that may arise in a number of AI specific areas and what the adequate risk management practices would be to manage them.
Click here for the full blog post