AI Standards: Best Practices for Ethical Systems

  • Online

Factors that relate to transparency in systems, the difference in outcomes that those factors can create, as well as practical techniques that can be applied to encourage a greater quality of transparency in consistent and rigorous ethical systems are explored in this course. Topics include factors that tend to drive or inhibit the quality of transparency in systems, small differences that may lead to major differences over time, and practical steps towards implementing more consistent and rigorous ethical systems.


Eleanor 'Nell' Watson Photo

Eleanor 'Nell' Watson

Eleanor ‘Nell’ Watson started as an engineer teaching computer science and doing research on machine intelligence; she is a world-renowned-futurist thinker known for bridging the world of technology and humanity. She is a member of numerous societies and organizations and has been awarded several fellowships with several esteemed organizations, and Senior Membership within IEEE. Today she serves as a Senior Scientific Advisor to the Future Society at Harvard. As a faculty member at Singularity University, she teaches classes on artificial intelligence, the philosophy of technology and how extensions of human capacity drive emerging social trends. The findings of her research has been applied in healthcare in the form of a body measurement solution which, in turn, launched her entrepreneurial career via the company she founded named QuantaCorp.

Publication Year: 2020

ISBN: 978-1-7281-7752-6

AI Standards: Best Practices for Ethical Systems
  • Course Provider: Educational Activities
  • Course Number: EDP596
  • Duration (Hours): 1
  • Credits: 0.3 CEU/ 3 PDH