Coronavirus crisis shows a need to track donation dollars. Here’s how China’s tech industry, through blockchain and AI, can help
- History repeats itself with a scandal over the handling of public donations, this time amid a deadly virus outbreak in China, damaging public confidence
- Crisis relief operations are time-sensitive and complex, but the technology to improve them is available and should be deployed
So, how can we do better in delivering supplies to people in need and instilling confidence in the organisations charged with managing humanitarian crises? Doing better may depend on the modernisation of charities through technology.
After all, charities should be prepared to deal with crises. By their nature, crises are large-scale, happen quickly and unexpectedly, and become increasingly serious the longer it takes for an effective response to emerge.
A striking concern is transparency: charities receiving donations have a fiduciary and moral duty to apply them effectively and for the purposes intended, and their work must stand up to scrutiny. This affects the willingness of the public to donate.
Problems involving post-disaster relief are not unique to China. Donations for the survivors of Hurricane Maria, which struck Puerto Rico in 2017, were found rotting in a car park a year later. And from penicillin being stolen and faked in the aftermath of World War II through to today, fake medicine remains a problem in many parts of the world.
Why be scared of blockchain when we can manage and grow it?
Blockchain is a superior tool for tracking and verifying the origin, journey and use-destination of pretty much anything. It can be applied to donation dollars or N95 masks. The records it creates, such as when a box of masks is placed on a plane, when it arrives at the receiving warehouse and when it is delivered to a hospital, can be securely stored.
Importantly, while writing to the blockchain can be strictly controlled – thus creating clear points of accountability – it can also be given public visibility, providing transparency to all stakeholders, including donors and receivers, as well as public oversight bodies. Anyone could track the progress and use of their donation.
When responding to a crisis, charities also face logistical problems involving complex, data-dependent questions requiring expert judgments. Considerable amounts of data must be integrated that, so far as infection data is concerned, it is not only subject to rapid change but becomes quickly out of date. Deciding where and when limited resources can be most effectively spent is a difficult, complicated task.
This is where AI can be employed to facilitate optimal outcomes. In the context of blockchain-based donations, outcomes would not only be based on models developed by epidemiologists but also by the current and forecast supply and utilisation of limited resources. Importantly, there would be visibility of process, which is critical to restoring public trust in the system.
AI applications surge as China battles coronavirus outbreak
The hand of private industry is needed here. Public-private and mixed ownership reforms in China testify to the reality that centrally controlled organisations, be it a state-owned enterprise or a government-backed charity, have not developed management systems or innovated solutions to problems as quickly as private enterprise has.
We must be more ambitious. Fundamental changes are needed to the structure and method of how such crises are handled. Common standards for dealing with problems such as the process for acquiring, managing and sharing quality data require the collaboration of global technologists.
The time to develop borderless solutions based on fit-for-purpose technologies is now. Let us not wait and find ourselves in the future again talking sentimentally about “lessons that were learned”.
Syren Johnstone is executive director of the LLM (compliance and regulation) programme at the University of Hong Kong. This article is an abridged and edited version of one published on SSRN, titled “A viral warning for change. The Wuhan coronavirus versus the Red Cross: better solutions via blockchain and artificial intelligence”