Exponential View with Azeem Azhar

How will the future unfold? What is the impact of technology on business & society? As technology reorders the world in which live, who will be the winners and who will be the losers? Join Azeem Azhar, curator of the Exponential View newsletter, in deep conversation with the world's leading thinkers and practitioners exploring these and other important questions. The views expressed on this podcast are those of its hosts, guests, and callers, and not those of Harvard Business Review.

https://hbr.org/podcasts/exponential-view

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episode 2: Designing Responsible AI


“Intelligence is central to everything humans do, and artificial intelligence should be no exception.” With these words, Joanna Bryson urges for stronger professional standards for software engineers and experts designing intelligent-like systems.

Joanna is a tenured associate professor at the University of Bath in the United Kingdom, where she founded the Bath Intelligence Systems group. She is one of the world’s leading AI researchers, uniting the perspectives of computer science, psychology, and biology in her work.

In this podcast, Azeem Azhar and Joanna explore:

  • The role of goals in conceptualizing and programming intelligence systems — and who sets these goals?
  • The risks and inadequacies of anthropomorphizing AI.
  • The critical importance of assuring ongoing human involvement in AI systems.
  • The explainability of AI systems and litigation over the definition of ‘explanation’ in light of EU’s General Data Protection Regulation (GDPR).

Further Reading:

  • Group Agency: The Possibility, Design and Agency of Corporate Agents (April 7, 2011)
  • UKRI Centre for Doctoral Training in Accountable, Responsible and Transparent AI (ART-AI)
  • Joanna Bryson et al, “Semantics derived automatically from language corpora contain human-like biases” (April 14, 2017)
  • Nick Bostrom, “Ethical Issues in Advanced Artificial Intelligence”
  • Joanna Bryson, “No one should trust AI – AND – Presenting robots as people stops us thinking clearly about AI” (Dec. 23, 2018)

Joanna Bryson @j2bryson
Azeem Azhar @azeem
www.exponentialview.co


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 2019-04-10  32m