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Course Outline
Introduction to Data Ethics
- Understanding the core concepts of data ethics.
- The importance of ethics in public data usage.
- Overview of key ethical frameworks and values.
Risks and Dilemmas in Data Practices
- Ethical challenges 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.
- Obtaining informed consent in digital services.
- Navigating the distinction between ethical and legal compliance (e.g., GDPR).
Transparency, Accountability, and Trust
- Explaining data-driven and AI-generated decisions.
- Building public trust and fulfilling institutional responsibilities.
- Effectively communicating risk and uncertainty.
Data Ethics in Practice
- Analyzing case studies of both ethical successes and failures.
- Developing ethical review checklists.
- Engaging in role-playing and applied scenario analysis.
Policy, Governance, and Ethical Design
- Integrating ethical considerations into data governance structures.
- Adopting principles-by-design and responsible innovation approaches.
- Facilitating public engagement and establishing feedback loops.
Summary and Next Steps
Requirements
- A foundational understanding of how data is collected and utilized in public or organizational settings.
- Practical experience working with data, reporting systems, or digital platforms.
- Basic familiarity with compliance, governance, or policy frameworks.
Target Audience
- Policymakers and public officials.
- Data stewards and analysts.
- IT and digital transformation teams within the public service sector.
14 Hours
