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Course Outline
Introduction to Data Ethics
- Defining data ethics.
- The importance of ethics in public data usage.
- An overview of key ethical frameworks and values.
Risks and Dilemmas in Data Practices
- Ethical challenges related to data collection and surveillance.
- Bias and discrimination in algorithmic systems.
- Balancing innovation against risk and trust.
Privacy and Consent
- Handling personal data and sensitive information.
- Managing informed consent within digital services.
- Distinguishing between ethical and legal compliance (e.g., GDPR).
Transparency, Accountability, and Trust
- Explaining decisions driven by data and AI.
- The role of public trust and institutional responsibility.
- Effectively communicating risk and uncertainty.
Data Ethics in Practice
- Case studies illustrating ethical successes and failures.
- Creating ethical review checklists.
- Role-playing exercises and applied scenario analysis.
Policy, Governance, and Ethical Design
- Embedding ethics into data governance structures.
- Principles-by-design and responsible innovation strategies.
- Facilitating public engagement and feedback loops.
Summary and Next Steps
Requirements
- A foundational understanding of data collection and utilization in public or organizational settings.
- Practical experience working with data, reporting mechanisms, or 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 sector.
14 Hours
