BUAN-3280 : Law and Ethics for Analytics

Business Analytics | Albers School of Business | UG

  • LSAP Goal 3 Ecological Economics
  • 8 Decent Work and Economic Growth
  • 9 Industry, Innovation and Infrastructure
  • 10 Reduced Inequalities
  • 11 Sustainable Cities and Communities
  • 12 Responsible Consumption and Production
  • 16 Peace, Justice, and Strong Institutions

About this Course

Introduces students to the legal and ethical dimensions of data analytics, data mining, predictive analytics and related techniques, collectively big data. Rapidly evolving technologies and the increasingly complex collection, aggregation, analysis and use of data creates opportunities for financial gain and social good, but also for dangers in areas such as privacy, discrimination, and violations of basic human dignity. This course will be framed as a contextual examination of what law exists to regulate the risks of big data at various stages of the data life-cycle, and to consider ethical responses that may be employed to address the related concerns where no law exists. This is a dynamic course which presents a rich basis for student contemplation and discussion of the central questions for big data, including the acquisition and use of data, professional and social responsibility in the application of modern information technologies; the efficacy of management by algorithm and the loss of human control in using artificial intelligence.