- An understanding of how data is collected and used in public or organizational contexts
- Experience working with data, reporting, or digital systems
- Basic familiarity with compliance, governance, or policy frameworks
Audience
- Policy makers and public officials
- Data stewards and analysts
- IT and digital transformation teams in public service
Data Ethics is the field concerned with responsible data collection, usage, and decision-making in ways that uphold human rights, privacy, transparency, and fairness.
This instructor-led, live training (online or onsite) is aimed at public sector professionals with limited or no prior training in data ethics who manage or govern data and wish to understand ethical risks, evaluate real-world dilemmas, and apply principles of responsible data use in alignment with institutional values and public trust.
By the end of this training, participants will be able to:
- Define key concepts and frameworks in data ethics.
- Identify ethical risks and trade-offs in data collection, analysis, and deployment.
- Apply principles of transparency, consent, and fairness to real-world scenarios.
- Integrate ethical review into governance or operational workflows.
Format of the Course
- Interactive lecture and discussion.
- Hands-on analysis of real-world data ethics cases.
- Guided exercises focused on ethical evaluation and policy alignment.
Course Customization Options
- To request a customized training for this course based on your department's workflows or internal tools, please contact us to arrange.
Introduction to Data Ethics
- What is data ethics?
- Why ethics matters in public data use
- Overview of ethical frameworks and values
Risks and Dilemmas in Data Practices
- Ethical issues in data collection and surveillance
- Bias and discrimination in algorithms
- Balancing innovation, risk, and trust
Privacy and Consent
- Personal data and sensitive information
- Informed consent in digital services
- Ethical vs. legal compliance (e.g., GDPR)
Transparency, Accountability, and Trust
- Explaining decisions made with data and AI
- Public trust and institutional responsibility
- Communicating risk and uncertainty
Data Ethics in Practice
- Case studies of ethical success and failure
- Developing ethical review checklists
- Role-playing and applied scenario analysis
Policy, Governance, and Ethical Design
- Integrating ethics into data governance
- Principles-by-design and responsible innovation
- Public engagement and feedback loops
Summary and Next Steps