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Course Outline

Foundations of Data Ethics

  • Defining data ethics and its scope
  • The importance of ethics in public sector data utilization
  • A review of core ethical frameworks and guiding values

Navigating Risks and Ethical Dilemmas

  • Addressing ethical concerns in data gathering and surveillance
  • Mitigating bias and discrimination within algorithmic systems
  • Striking a balance between innovation, risk management, and public trust

Privacy Standards and Consent Mechanisms

  • Handling personal data and sensitive information responsibly
  • Ensuring informed consent in digital service delivery
  • Distinguishing between ethical conduct and legal compliance (e.g., GDPR)

Fostering Transparency, Accountability, and Trust

  • Communicating decisions driven by data and AI clearly
  • Upholding public trust through institutional responsibility
  • Effectively conveying risk and uncertainty to stakeholders

Applying Data Ethics in Operational Contexts

  • Analyzing case studies that highlight ethical successes and failures
  • Creating robust ethical review checklists
  • Conducting role-playing activities and applied scenario analyses

Policy Integration, Governance, and Ethical Design

  • Embedding ethical considerations into data governance strategies
  • Adopting principles-by-design and fostering responsible innovation
  • Incorporating public engagement and establishing feedback loops

Conclusion and Future Directions

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
  • Familiarity with foundational compliance, governance, or policy structures

Target Audience

  • Policy makers and public officials
  • Data stewards and analysts
  • IT and digital transformation teams within the public service sector
 14 Hours

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