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Duration 14 hours
Course Outline
Introduction to Data Ethics
- Defining data ethics.
- The importance of ethics in public data use.
- An 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 in 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 risk and uncertainty effectively.
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 strategies.
- Principles-by-design and responsible innovation.
- Fostering public engagement and feedback loops.
Summary and Next Steps
Requirements
- A foundational understanding of how data is collected and utilized within public or organizational settings.
- Experience working with data, reporting, 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 in public service.
