Councils need to be able to collect, share, analyse and innovate with data in a way that their residents expect of them. To help guide them in the development of their data ethics capabilities, LOTI has developed 16 recommendations.
LOTI is offering support to any borough interested in piloting any of these recommendations as part of our London Data Ethics Service. Please find more information on the dedicated Resource Page, or contact LOTI Data Ethicist, Sam Nutt, at email@example.com.
LOTI suggests adopting five universal principles to guide all decisions about data: Transparency, Accountability, Privacy, Fairness and Safety.
LOTI recommends that any policies and strategies are designed to be as practical as possible and that they focus on action.
LOTI recommends that local authorities follow the communication principles set out in the UK Algorithmic Transparency Standard.
LOTI recommends that councils proactively communicate with residents about how decisions are being made with data.
LOTI recommends involving residents in data use deliberations and consultations.
LOTI recommends creating a data ethics process flow for data projects.
At the conception and design stage of a project, LOTI recommends using the Open Data Institute’s Data Ethics Canvas or the UK Government Digital Service’s Data Ethics Framework.
LOTI recommends that councils publish any assessments or evaluations of data projects so that other boroughs can see how they have evaluated and mitigated certain risks.
LOTI recommends that, in the design stage of any new data project, data teams consider whether residents will need the right to appeal and recourse.
When procuring technologies or services, boroughs should not only look for the most efficient supplier but also assess which companies or technologies are the most ethical.
Organisations should foster data ethics skills in their staff and create an environment where people feel comfortable raising issues around ethics.
LOTI recommends including data ethics as a responsibility or task in the job description for all new data jobs.