Intelligent Governance Design

Intelligent Governance Design

Data-driven technologies, especially those offering artificially intelligent capabilities, have great potential to transform our finances, economies, health and public services. As these technologies increase in sophistication a key barrier to their safe adoption will be the readiness of organisations and service providers to oversee and adapt to them. Many organisations, especially those who are new to adopting AI based systems, lack preparedness in establishing forms of organisational governance that are appropriate for mitigating the risks assoaicted with these technologies. Traditional models of governance, typically predetermined and static, become problematic when the systems being governed are continually morphing, adapting and evolving across their lifetime. There are also significant challenges in translating abstract or high-level governance frameworks and roadmaps into practice, at scale, across organisations or with third-parties.

In this project, we set out to explore what “Intelligent Governance” might look like for organisations we are working with on a number of AI projects, and whether design methods may be useful to organisations looking to explore risks assoaicted with AI and help them in redesigning internal oversight and governance processes. The intention behind the project is to establish a new “lab” within Design Informatics. This lab will generate new forms of intelligent governance that are as dynamic as the technologies they govern, and will enable organisations to adapt their structures and cultures to ensure AI-based systems lead to transformational yet accountable new services.

People Involved:

John Vines, Josh Hosking, Leona Sutton, Ewa Luger, Chris Speed, Lachlan Urquhart, Michael Rovatsos