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Course Outline
Introduction to Data Ethics
- Defining data ethics
- The significance of ethics in public data usage
- An overview of ethical frameworks and core values
Risks and Dilemmas in Data Practices
- Ethical challenges in data collection and surveillance
- Issues of bias and discrimination in algorithms
- Striking a balance between innovation, risk management, and trust
Privacy and Consent
- Handling personal data and sensitive information
- Informed consent within digital services
- Distinguishing between ethical obligations and legal compliance (e.g., GDPR)
Transparency, Accountability, and Trust
- Explaining decisions driven by data and AI
- Upholding public trust and institutional responsibility
- Communicating risk and uncertainty effectively
Data Ethics in Practice
- Case studies illustrating ethical successes and failures
- Creating checklists for ethical review
- Role-playing exercises and applied scenario analysis
Policy, Governance, and Ethical Design
- Weaving ethics into data governance strategies
- Principles-by-design and fostering responsible innovation
- Engaging the public and establishing feedback loops
Summary and Next Steps
Requirements
- Familiarity with how data is gathered and utilized within public or organizational settings
- Practical experience engaging with data, reporting mechanisms, or digital systems
- A foundational understanding of compliance, governance, or policy frameworks
Target Audience
- Policy makers and public officials
- Data stewards and analysts
- IT and digital transformation teams within public services
14 Hours
