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Duration 14 hours
Course Outline
Foundations of Data Ethics
- Defining the scope of data ethics
- The importance of ethical standards in public data utilization
- Summary of foundational ethical principles and governance values
Challenges and Ethical Dilemmas in Data Operations
- Moral considerations regarding data acquisition and surveillance
- Algorithmic bias and potential for discrimination
- Navigating the balance between innovation, risk management, and public trust
Privacy Rights and Informed Consent
- Handling personal identifiers and sensitive information
- Securing informed consent in digital service delivery
- Distinguishing ethical obligations from legal compliance (e.g., GDPR)
Transparency, Accountability, and Public Confidence
- Clarifying decision-making processes driven by data and AI
- Maintaining public trust and fulfilling institutional duties
- Communicating risks and uncertainties effectively
Practical Application of Data Ethics
- Examination of successful and failed ethical implementations
- Creation of ethical review protocols and checklists
- Simulations and analysis of applied scenarios
Policy Integration, Governance, and Ethical Design
- Embedding ethical considerations into data governance structures
- Adopting principles-by-design and fostering responsible innovation
- Facilitating public engagement and establishing feedback mechanisms
Conclusion and Future Directions
Requirements
- Knowledge of data acquisition and utilization methods in public or organizational settings
- Professional experience with data management, reporting mechanisms, or digital systems
- General awareness of compliance standards, governance models, or regulatory frameworks
Intended Audience
- Policy formulators and government officials
- Data stewards and analytical professionals
- IT and digital transformation teams serving the public sector