Development of workplace safety monitoring tools is evolving – first advertised to improve workplace safety during the pandemic, these tools now move towards general health and safety in the workplace. The design of the Hygieia app reflects this – it has a classic look and feel of a corporate app, with built in checklists to begin with, while advanced features which involve artificial intelligence are still under development.
To feed the articial intelligence models, the app collects data from those checklists in an attempt to predict typical incidents, and provide further checks to minimise those incidents. This in turn provides an approximation of “safety”, however limited.
The responsibility for the data rests with the managers within organisations which use the app. It’s the managers’ job to create the necessary checklists, pass them on to employees, and to monitor the responses. The developers focus on legal compliance with privacy and data protection laws.
The app’s data is viewed as just that – data, possibly with little regard to the people who fill in those checklists, and the wider unintentional harms that it may cause.
All in all, there are factors that could both increase and decrease end-user trustworthiness of such apps. On one hand, the look and feel of the app, the developers’ compliance with laws and standards, and the attention to discourses around AI and big data may improve end-user trustworthiness. On the other hand, prioritising features relevant to the organisations buying the app rather than the end-users, the lack of detail on how AI uses the data, and the responsibility focus on the organisations using the app may lower end-user trustworthiness.