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Duration 14 hours
Course Outline
Foundations of Data Ethics
- Defining data ethics
- The importance of ethics in public data utilization
- A survey of ethical frameworks and core values
Navigating Risks and Dilemmas in Data Practice
- Ethical challenges in data collection and surveillance
- Addressing bias and discrimination in algorithms
- Striking a balance between innovation, risk management, and trust
Privacy and Consent Mechanisms
- Handling personal data and sensitive information
- Ensuring informed consent in digital services
- Distinguishing between ethical and legal compliance (e.g., GDPR)
Building Transparency, Accountability, and Trust
- Explaining decisions driven by data and AI
- Maintaining public trust and institutional responsibility
- Effectively communicating risk and uncertainty
Applying Data Ethics in Practice
- Examining case studies of ethical successes and failures
- Creating ethical review checklists
- Conducting role-playing and applied scenario analysis
Policy, Governance, and Ethical Design
- Weaving ethics into data governance structures
- Embracing principles-by-design and responsible innovation
- Fostering public engagement and feedback loops
Conclusion and Path Forward
Requirements
- A solid grasp of how data is collected and utilized in public or organizational settings
- Hands-on experience working with data, reporting mechanisms, 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 within public service
