Overview of Recommendations
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
- Hire a dedicated data ethicist
