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Course Outline
Introduction to Data Ethics
- Defining data ethics
- The importance of ethics in public data utilization
- Overview of key ethical frameworks and values
Risks and Dilemmas in Data Practices
- Ethical challenges in data collection and surveillance
- Bias and discrimination within algorithms
- Balancing innovation, risk management, 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
- Maintaining public trust and institutional responsibility
- Communicating risks and uncertainty effectively
Practical Data Ethics
- Case studies illustrating 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
- Fostering public engagement and feedback mechanisms
Conclusion and Future Directions
Requirements
- A grasp of data collection and usage patterns within public or organizational settings
- Hands-on experience with data, reporting, or digital systems
- Basic knowledge of compliance, governance, or policy frameworks
Target Audience
- Policy makers and public officials
- Data stewards and analysts
- IT and digital transformation teams within the public sector
14 Hours
