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Course Outline
Introduction to Data Ethics
- Definition of data ethics
- The importance of ethics in public data usage
- Overview of ethical frameworks and core values
Risks and Dilemmas in Data Practices
- Ethical issues surrounding data collection and surveillance
- Bias and discrimination in algorithms
- Balancing innovation, risk, and trust
Privacy and Consent
- Handling personal data and sensitive information
- Informed consent within digital services
- Distinguishing between ethical and legal compliance (e.g., GDPR)
Transparency, Accountability, and Trust
- Explaining decisions driven by data and AI
- Public trust and institutional responsibility
- Communicating risk and uncertainty
Data Ethics in Practice
- Case studies highlighting ethical successes and failures
- Creating ethical review checklists
- Role-playing and applied scenario analysis
Policy, Governance, and Ethical Design
- Embedding ethics into data governance
- Principles-by-design and responsible innovation
- Public engagement and feedback mechanisms
Summary and Next Steps
Requirements
- A fundamental understanding of how data is collected and utilized in public or organizational settings
- 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 the public service sector
14 Hours
