Get in Touch

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 concerns in data collection and surveillance
  • Bias and discrimination within algorithms
  • Balancing innovation, risk management, and trust

Privacy and Consent

  • Handling personal data and sensitive information
  • Informed consent in digital service delivery
  • 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 successes and failures
  • Creating checklists for ethical review
  • Role-playing and applied scenario analysis

Policy, Governance, and Ethical Design

  • Embedding ethics into data governance structures
  • Adopting principles-by-design and responsible innovation
  • Fostering public engagement and feedback loops

Summary and Next Steps

Requirements

  • A solid grasp of data collection and utilization within public or organizational settings
  • Practical experience working with data, reporting, or digital systems
  • Foundational 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

Number of participants


Price per participant

Upcoming Courses

Related Categories