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Course Outline
Introduction to Data Ethics
- Defining data ethics
- The importance 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
- Bias and discrimination within algorithms
- Balancing innovation, risk, and trust
Privacy and Consent
- Handling personal and sensitive information
- Informed consent in digital services
- Distinguishing between ethical and legal compliance (e.g., GDPR)
Transparency, Accountability, and Trust
- Explaining decisions driven by data and AI
- Institutional responsibility and public trust
- Communicating risk and uncertainty
Data Ethics in Practice
- Case studies illustrating ethical successes and failures
- Creating ethical review checklists
- Role-playing and applied scenario analysis
Policy, Governance, and Ethical Design
- Integrating ethics into data governance structures
- Principles-by-design and responsible innovation
- Public engagement and feedback mechanisms
Summary and Next Steps
Requirements
- A foundational understanding of data collection and utilization in public or organizational settings
- Experience working 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 in public service
14 Hours
