Human Emotion in Devices and Technology

  • Online

The field of Affective Computing that encompasses the nature of how human’s emotions respond to devices and technology is a seminal issue to study in regards to the ethical implications of AI/AS.  Where users may not understand that robots/AI are infused with affective sensors or technology, they could be manipulated or tricked in ways unintended by well-meaning manufacturers or designers.  If we are to live with robots in our near future, we must become more emotionally intelligent before trying to imbue ethical instructions for our silicon companions. In this course we will review the concept of affective computing. We will then examine its most relevant ethical issues and how to deal with them.

What you will learn:

  • Summarize the scope of Affective Computing
  • Describe the generic ethical issues in Affective Computing
  • Apply a standard ethical framework to examples of Affective Computing

This course is part of the following course program:

Artificial Intelligence and Ethics in Design: Responsible Innovation

Courses included in this program:

Who should attend: Data engineer, AI/ML engineer, Design engineer, Computer engineer, Security engineer, Software engineer


Ruth Aylett

Ruth Aylett Photo

Ruth Aylett is a Professor of Computer Science at Heriot-Watt University in Edinburgh, Scotland. She studied economics at the London School of Economics. Subsequently, she worked in computing and robotics at Sheffield Hallam University, the University of Edinburgh and the Centre for Virtual Environments at University of Salford.

Publication Year: 2018

ISBN: 978-1-5386-0043-6

Human Emotion in Devices and Technology
  • Course Provider: Standards Association
  • Course Number: EDP526
  • Duration (Hours): 1
  • Credits: 0.1 CEU/ 1 PDH