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Course Outline
Introduction to Data Ethics
- Defining data ethics.
- The importance of ethics in public data utilization.
- An overview of ethical frameworks and core values.
Risks and Dilemmas in Data Practices
- Ethical considerations in data collection and surveillance.
- Addressing bias and discrimination in algorithms.
- Striking a balance between innovation, risk management, and trust.
Privacy and Consent
- Handling personal and sensitive information.
- Securing 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.
- Effectively communicating risk and uncertainty.
Data Ethics in Practice
- Examining case studies of both ethical successes and failures.
- Creating ethical review checklists.
- Engaging in role-playing and applied scenario analysis.
Policy, Governance, and Ethical Design
- Weaving ethics into data governance structures.
- Implementing principles-by-design and fostering responsible innovation.
- Facilitating public engagement and feedback loops.
Summary and Next Steps
Requirements
- A solid grasp of data collection and usage practices within public or organizational settings.
- Hands-on experience with data management, reporting, or digital systems.
- Foundational knowledge of compliance, governance, or policy frameworks.
Target Audience
- Policy makers and public officials.
- Data stewards and analysts.
- IT and digital transformation teams serving the public sector.
14 Hours
