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Course Outline

Introduction to Data Ethics

  • Defining data ethics
  • The importance of ethics in public data usage
  • Survey of key ethical frameworks and values

Risks and Dilemmas in Data Practices

  • Ethical considerations in data collection and surveillance
  • Addressing bias and discrimination in algorithms
  • Navigating the balance between innovation, risk, and trust

Privacy and Consent

  • Handling personal and sensitive information
  • Securing 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
  • Upholding public trust and institutional responsibility
  • Effectively communicating risk and uncertainty

Data Ethics in Practice

  • Examining case studies of ethical successes and failures
  • Creating ethical review checklists
  • Engaging in role-playing and applied scenario analysis

Policy, Governance, and Ethical Design

  • Embedding ethics into data governance structures
  • Applying principles-by-design and promoting responsible innovation
  • Fostering public engagement and feedback mechanisms

Summary and Next Steps

Requirements

  • A foundational understanding of data collection and utilization in public or organizational settings
  • Practical experience handling data, generating reports, or managing digital systems
  • Basic knowledge of compliance, governance, or policy frameworks

Target Audience

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

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