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November
23 – 25
Berlin

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Pre-Conference Workshop HIG101

Ethics, Analytics and the Duty of Care

  Status: 

OEB speaker Stephen Downes

Stephen Downes

National Research Council Canada

This session reports on a comprehensive study of ethical issues in learning analytics and related technologies. We begin by looking at the applications of artificial intelligence and analytics in learning technology, describing in a structured way what decisions we actually make when we apply artificial intelligence, analytics, and neural networks to teaching and learning. We also survey the ethical issues that have arisen in the field, for example, bias in algorithms, justice and fairness, diversity and equity, bad actors and data manipulation, and a range of other concerns. Then we apply the ethical dimension to all of this, asking how we determine what is ethical and what is not. We look at ethical codes, ethical theories and principles, and finally, ethics as a duty of care.

Learning Outcomes

  • Enumerate a broad range of benefits and risks arising from the use of analytic technologies in learning and development.
  • Describe how these issues arise at various points in the learning analytics workflow.
  • Evaluate how these issues, and potential solutions to them, are proposed by various ethical theories, principles and codes.
  • Describe an ethical approach to learning analytics based in practitioner expertise and sentiment of care.