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Course Outline
Introduction to Data Ethics
- Defining data ethics.
- The importance of ethics in public data utilization.
- An overview of ethical frameworks and core values.
Risks and Dilemmas in Data Practices
- Ethical considerations in data collection and surveillance.
- Bias and discrimination within algorithms.
- Balancing innovation against risk and public trust.
Privacy and Consent
- Handling personal and sensitive information.
- Informed consent in digital service delivery.
- Distinguishing between ethical and legal compliance (e.g., GDPR).
Transparency, Accountability, and Trust
- Explaining data and AI-driven decisions.
- Institutional responsibility and maintaining public trust.
- Communicating risks and uncertainties effectively.
Data Ethics in Practice
- Case studies illustrating ethical successes and failures.
- Creating ethical review checklists.
- Role-playing and scenario-based analysis.
Policy, Governance, and Ethical Design
- Embedding ethics into data governance structures.
- Applying principles-by-design and fostering responsible innovation.
- Engaging the public and establishing feedback loops.
Summary and Next Steps
Requirements
- A general understanding of data collection and usage within public or organizational settings.
- Experience working with data, reporting, or digital systems.
- Basic familiarity with compliance, governance, or policy frameworks.
Target Audience
- Policy makers and public officials.
- Data stewards and analysts.
- IT and digital transformation teams in the public service sector.
14 Hours
