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Course Outline
Introduction to Data Ethics
- The definition and scope of data ethics.
- The importance of ethics in public data utilization.
- An overview of core ethical frameworks and values.
Risks and Dilemmas in Data Practices
- Ethical considerations regarding data collection and surveillance.
- Addressing bias and discrimination in algorithms.
- Striking a balance between innovation, risk management, and trust.
Privacy and Consent
- Handling personal and sensitive information.
- The role of informed consent in digital services.
- Distinguishing between ethical best practices and legal compliance (e.g., GDPR).
Transparency, Accountability, and Trust
- Explaining decisions driven by data and AI.
- Upholding public trust and institutional responsibility.
- Effectively communicating risk and uncertainty.
Data Ethics in Practice
- Examining case studies of both ethical successes and failures.
- Creating checklists for ethical review.
- Conducting role-play and applied scenario analysis.
Policy, Governance, and Ethical Design
- Embedding ethics into data governance structures.
- Applying principles-by-design and responsible innovation.
- Facilitating public engagement and establishing feedback loops.
Summary and Next Steps
Requirements
- 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
14 Hours
