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Course Outline

Introduction to Data Ethics

  • Defining data ethics
  • The importance of ethics in public data usage
  • Overview of ethical frameworks and core values

Risks and Dilemmas in Data Practices

  • Ethical challenges in data collection and surveillance
  • Algorithmic bias and discrimination
  • Balancing innovation, risk management, and public trust

Privacy and Consent

  • Handling personal and sensitive data
  • Informed consent within digital services
  • Distinguishing ethical conduct from legal compliance (e.g., GDPR)

Transparency, Accountability, and Trust

  • Explaining data-driven and AI-based decisions
  • Public trust and institutional responsibility
  • Communicating risk and uncertainty effectively

Applying Data Ethics

  • Case studies illustrating ethical successes and failures
  • Creating checklists for ethical review
  • Role-playing and scenario-based analysis

Policy, Governance, and Ethical Design

  • Embedding ethics into data governance structures
  • Principles-by-design and responsible innovation
  • Facilitating public engagement and feedback mechanisms

Conclusion and Future Steps

Requirements

  • A basic understanding of data collection and usage in public or organizational settings
  • Practical experience with data, reporting, or digital systems
  • Familiarity with compliance, governance, or policy structures

Target Audience

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

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