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 Duration 14 hours

Course Outline

Foundations of Data Ethics

  • Defining the scope of data ethics
  • The importance of ethical standards in public data utilization
  • Summary of foundational ethical principles and governance values

Challenges and Ethical Dilemmas in Data Operations

  • Moral considerations regarding data acquisition and surveillance
  • Algorithmic bias and potential for discrimination
  • Navigating the balance between innovation, risk management, and public trust

Privacy Rights and Informed Consent

  • Handling personal identifiers and sensitive information
  • Securing informed consent in digital service delivery
  • Distinguishing ethical obligations from legal compliance (e.g., GDPR)

Transparency, Accountability, and Public Confidence

  • Clarifying decision-making processes driven by data and AI
  • Maintaining public trust and fulfilling institutional duties
  • Communicating risks and uncertainties effectively

Practical Application of Data Ethics

  • Examination of successful and failed ethical implementations
  • Creation of ethical review protocols and checklists
  • Simulations and analysis of applied scenarios

Policy Integration, Governance, and Ethical Design

  • Embedding ethical considerations into data governance structures
  • Adopting principles-by-design and fostering responsible innovation
  • Facilitating public engagement and establishing feedback mechanisms

Conclusion and Future Directions

Requirements

  • Knowledge of data acquisition and utilization methods in public or organizational settings
  • Professional experience with data management, reporting mechanisms, or digital systems
  • General awareness of compliance standards, governance models, or regulatory frameworks

Intended Audience

  • Policy formulators and government officials
  • Data stewards and analytical professionals
  • IT and digital transformation teams serving the public sector

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