Directly Responsible Individuals (DRI)
Identifying a “Directly Responsible Individual” (DRI) is a key step in managing the risks of autonomous AI.
The term DRI refers to the person who is ultimately accountable for the success or failure of a specific project or initiative. This concept highlights a fundamental truth about technology: machines cannot take responsibility for their actions. While AI agents can now perform complex tasks and make recommendations, they lack the capacity for accountability. They do not have legal standing, they cannot face consequences, and they do not understand the broader social context of their outputs. Therefore, any project involving AI must have a human who understands the entire process and can be held responsible for the final result.
For the public sector and European professionals, this highlights the importance of closing the “accountability gap.” As we move toward using AI agents for public services, clear governance frameworks are vital. If an automated system makes a mistake in a public service, the responsibility must rest with a human supervisor rather than the software. This is a key requirement for safe and governed adoption. By identifying a DRI for every AI initiative, organizations can ensure that technology supports human goals without creating a space where responsibility disappears. This approach is necessary for maintaining public trust and meeting regulatory requirements in a transparent way.
How does your team plan to assign accountability as you integrate more AI agents into your workflow?
#AI #Governance #PublicSector #DigitalTransformation #Accountability
https://simonwillison.net/2026/Jul/12/directly-responsible-individuals/#atom-everything