Data science ethics in government

Area of Science:

• Government data science
• Ethical frameworks
• Public policy

Background:

• Data science presents significant opportunities for government to enhance policymaking and service delivery through advanced data processing.
• However, realizing this potential requires addressing ethical considerations and public trust.
• The Government Data Science Partnership aimed to foster confidence in data innovation.

Purpose of the Study:

• To develop a practical ethical framework for government data science.
• To understand public perceptions and concerns regarding data science in government.
• To inform the responsible adoption of data science capabilities.

Main Methods:

• An open, evidence-based, and user-centered approach was employed.
• A public dialogue on data science ethics included deliberative workshops and an experimental conjoint survey.
• An online engagement tool was utilized to gather broader public input.

Main Results:

• The research validated the principles of the ethical framework.
• Public awareness of 'data science' is low, but examples increase support for government data innovation.
• Public acceptance of data science is context-dependent, with a focus on policy goals, outcomes, privacy, and unintended consequences.

Conclusions:

• The ethical framework is a foundational step, but ongoing research is needed in areas like data minimization, algorithmic accountability, and security.
• A renewed citizen-state data agreement is essential to maintain public trust in the use of data for social good.
• Continued dialogue and research are crucial for navigating the evolving landscape of data science in government.