Governance for AI & Data for Health
Digital Health could be stunted by public concerns on data security, ownership, privacy & informed consent; AI use could be stymied by insufficient trust in blackbox algorithms, biased training data, and discriminatory and exploitative use of predictive analytics. At the same time, there is an opportunity to use digital technologies to improve governance of health systems, enhance transparency and accountability, and raise the salience of patient and community voices.
At a global level, the challenge is fragmented approaches to digital governance and growing science/data nationalism. There is also a messaging problem on digital health (over and under selling), which leaves leaders confused about choices and investments. In many parts of the world, there is a fundamental lack of digital governance capacity. Overall, there is a surfeit of policy principles and abstraction and limited evidence in practice for proposed governance solutions.
- The recommendations of the UNSG’s High-level Panel on Digital Cooperation and the Road Map for Digital Cooperation;
- The discussions on digital health at the WHO and other competent forums;
- The work of UNESCO on Artificial Intelligence Ethics through the Ad Hoc Working Group on Artificial Intelligence Ethics;
- The work of the Financial Times/Lancet Joint Commission on Governing Health Futures.
Our vision of Artificial Intelligence and data for health governance is tiered, multi-stakeholder and distributed. This vision is anchored in a balanced approach to tackle misuse and missed use of data as well as missing data (‘3 Ms’), which are the misuse of data, missing data and missed use of data.
In the first year, I-DAIR is working with Accenture Development Partners and PriceWaterhouseCoopers (PwC) to develop options for its governance structures as well as its target operating model. The idea is to capture not only the state of the art but also look over the horizon to what governance and operating modalities are apt for multilateral scientific collaboration in a post Covid-19 world.
I-DAIR’s future governance work will benefit from the learnings emerging from our PathFinders. It will be informed by follow up to international discussions, including :
The Graduate Institute’s Global Health Centre, where the I-DAIR incubation is based, will also play a role in collating and researching iterative insights on health governance coming out of the PathFinder projects.