The 16 recommendations, grouped by themes are as follows:
Principles & Values
Adopt five universal principles
Incorporate data ethics into a formal policy or data strategy that informs decisions and holds teams to account
Resident Engagement
Share details of data use publicly and in appropriate language
Proactively inform residents when they are subject to complex data processes (e.g. automated decisions, AI-powered robots, surveillance technologies)
Engage residents around their values and expectations for new, advanced, untested or publicly divisive data uses before establishing guidance and policies
Develop the data (ethics) literacy of residents
Governance & Processes
Create a data ethics process flow for data projects
Test and implement the appropriate tools for doing data ethics
Share ethics assessments and evaluations of data projects to ensure consistent ethical decision making
Establish a data ethics board
Create simple appeal and recourse mechanisms for residents to challenge data-related decisions
Ensure suppliers meet data ethics principles and transparency standards
Skills & Culture
Invest in data ethics skills training for data professionals, service managers and leaders
Develop an ongoing organisational dialogue and culture around ethics
Include responsibility for data ethics in job descriptions
