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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 values

Risks and Dilemmas in Data Practices

  • Ethical issues related to data collection and surveillance
  • Bias and discrimination within algorithms
  • Balancing innovation, risk, and public trust

Privacy and Consent

  • Handling personal data and sensitive information
  • Informed consent in digital services
  • Distinguishing between ethical and legal compliance (e.g., GDPR)

Transparency, Accountability, and Trust

  • Explaining decisions driven by data and AI
  • Maintaining public trust and institutional responsibility
  • Communicating risk and uncertainty effectively

Data Ethics in Practice

  • Case studies illustrating ethical success and failure
  • Developing ethical review checklists
  • Role-playing and applied scenario analysis

Policy, Governance, and Ethical Design

  • Integrating ethics into data governance strategies
  • Principles-by-design and responsible innovation
  • Public engagement and feedback mechanisms

Summary and Next Steps

Requirements

  • An understanding of how data is collected and utilized within public or organizational contexts
  • Experience working with data, reporting, or digital systems
  • Basic familiarity with compliance, governance, or policy frameworks

Audience

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

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