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Course Outline
Introduction to Data Ethics
- Defining 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 challenges in data collection and surveillance.
- Addressing bias and discrimination within algorithms.
- Striking a balance between innovation, risk mitigation, and trust.
Privacy and Consent
- Handling personal data and sensitive information.
- Ensuring informed consent in digital services.
- Distinguishing between ethical considerations and legal compliance (e.g., GDPR).
Transparency, Accountability, and Trust
- Explaining decisions driven by data and AI.
- Fostering public trust through institutional responsibility.
- Effective communication of risk and uncertainty.
Data Ethics in Practice
- Case studies illustrating both ethical successes and failures.
- Creating ethical review checklists.
- Role-playing and applied scenario analysis.
Policy, Governance, and Ethical Design
- Embedding ethics into data governance structures.
- Adopting principles-by-design and fostering responsible innovation.
- Engaging the public and establishing feedback loops.
Summary and Next Steps
Requirements
- A foundational understanding of how data is gathered and utilized in public or organizational settings.
- Practical experience working with data, reporting mechanisms, 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 operating within the public service sector.
14 Hours
