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Course Outline
Fundamentals of Data Ethics
- Defining the scope of data ethics.
- The critical importance of ethics in public data usage.
- Review of key ethical frameworks and core values.
Risks and Dilemmas in Data Practices
- Ethical challenges in data collection and surveillance.
- Mitigating bias and discrimination in algorithmic processes.
- Navigating the balance between innovation, risk management, and public trust.
Privacy and Consent
- Handling personal data and sensitive information.
- Ensuring informed consent in digital service delivery.
- Distinguishing between ethical obligations and legal compliance (e.g., GDPR).
Transparency, Accountability, and Trust
- Explaining data-driven and AI-based decisions.
- Upholding public trust and institutional accountability.
- Effectively communicating risk and uncertainty.
Applying Data Ethics in Practice
- Examining case studies of both ethical successes and failures.
- Creating comprehensive ethical review checklists.
- Conducting role-play and applied scenario analysis.
Policy, Governance, and Ethical Design
- Embedding ethics into data governance structures.
- Adopting principles-by-design and responsible innovation strategies.
- Fostering public engagement and feedback mechanisms.
Conclusion and Path Forward
Requirements
- A foundational understanding of data collection and usage within public or organizational settings.
- Practical experience working with data, reporting systems, or digital platforms.
- 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 public service entities.
14 Hours
