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Course Outline

Introduction to Data Ethics

  • What is data ethics?
  • Why ethics matters in public data use.
  • Overview of ethical frameworks and values.

Risks and Dilemmas in Data Practices

  • Ethical issues in data collection and surveillance.
  • Bias and discrimination in algorithms.
  • Balancing innovation, risk, and trust.

Privacy and Consent

  • Personal data and sensitive information.
  • Informed consent in digital services.
  • Ethical vs. legal compliance (e.g., GDPR).

Transparency, Accountability, and Trust

  • Explaining decisions made with data and AI.
  • Public trust and institutional responsibility.
  • Communicating risk and uncertainty.

Data Ethics in Practice

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

Policy, Governance, and Ethical Design

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

Summary and Next Steps

Requirements

  • An understanding of how data is collected and used in 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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