Innovation Exchange challenge: How can we capture complex human judgement to make better decisions supported by AI?
SIS/MI6 seek innovative solutions to enhance how human judgment in national security decision-making can be captured and supported by AI.
Opportunity Details
When
Registration Opens
08/01/2025
Registration Closes
07/02/2025
Award
The challenge holder has a range of commercial arrangements (including flexibility around IP) for sole traders, micro, small and medium size businesses. Should you be shortlisted, these will be discussed with you in advance. It is likely that contracting will, in the first instance, be through channel partners for initial evaluations, and will be a straightforward set of terms.
Background
The UK Secret Intelligence Service (SIS), also known as MI6, seeks innovative solutions to enhance how human judgment in national security decision-making can be captured and supported by AI. This challenge invites industry and academia to develop frameworks or technologies that can effectively capture decision-making processes while ensuring transparency, explainability, and adherence to legal and ethical standards.
About the challenge
The heads of the UK intelligence agencies have previously spoken about the importance of tapping into UK expertise through partnership with cutting-edge business, to solve hard problems and build the capabilities our nation needs. It is through collaborations like these that we can keep the country safe. We are looking to partner with industry and academia to help us build solutions which better support our people to make the complex decisions they need to every day.
Specifically, we are keen to explore frameworks or technology solutions for capturing complex human judgement in decision making which consider:
- How do we best account for the context in which a decision is taken given that this changes regularly as new information is revealed or the wider threat landscape changes?
- How do we handle capturing decisions that are made where there is often limited and incomplete data?
- How can we ensure that human decision making, when supported by AI, remains explainable; transparent and anchored in principles of necessity and proportionality; our ethical standards; and the strict legal and oversight frameworks which govern our work?
Eligibility
The challenge holder is keen to hear from a range of sole traders, small and medium-size businesses (start-ups, SMEs) and academia.
For full details and technical requirements, visit the Innovation Exchange site at the link below.