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Course Outline
Introduction to Data Ethics
- Defining the scope of data ethics
- The importance of ethics in public data utilization
- An overview of relevant ethical frameworks and core values
Challenges and Dilemmas in Data Practices
- Ethical considerations in data collection and surveillance
- Mitigating bias and discrimination in algorithmic processes
- Navigating the balance between innovation, risk management, and trust
Privacy and Consent
- Handling personal data and sensitive information
- Securing informed consent within digital services
- Distinguishing between ethical standards and legal compliance (such as GDPR)
Transparency, Accountability, and Trust
- Explaining decisions driven by data and AI
- Maintaining public trust and institutional accountability
- Communicating risk and uncertainty effectively
Applying 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 strategies
- Applying principles-by-design and fostering responsible innovation
- Facilitating public engagement and feedback mechanisms
Conclusion and Future Steps
Requirements
- A foundational grasp of how data is gathered and utilized within public or organizational settings
- Practical experience working with data, reporting mechanisms, or digital platforms
- Basic knowledge of compliance standards, governance structures, or policy frameworks
Target Audience
- Policy creators and public officials
- Data custodians and analytical specialists
- IT and digital transformation teams within public service sectors
14 Hours
