Abstract:
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Data ethics addresses ethical problems and responsibilities related to data (including its generation, processing, storage, security, and sharing), associated algorithms and tools, and broader related concepts like professional codes of conduct and the social impacts of data use. Ethical practice is especially critical as applications of data analytics increasingly address highly charged political and socially complex problems that combine not just technical hurdles but also social, ethical, and organizational challenges. Ensuring that students are well-prepared to recognize, grapple with, and clearly communicate ethical issues related to data depends on both formal and informal education about data ethics and requires the cultivation of critical ethical decision-making.
Panelists will address the evolution of data ethics education, provide an overview of urgent challenges and promising practices associated with the incorporation of ethics in the data science curriculum, highlight key issues in data ethics ed
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