Ethical Considerations in Data Science
Examining issues of data privacy, algorithmic bias, fairness, and accountability in the context of data collection and analysis.
Key Questions
- Analyze the ethical implications of using facial recognition technology in public spaces.
- Justify the need for transparency in algorithmic decision-making.
- Design a framework for ethical data collection in a research project.
ACARA Content Descriptions
Suggested Methodologies
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