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Daniel Schiff received the master's degree in
social policy from the University of Pennsylvania,
Philadelphia, PA, USA, in 2013. He is currently
pursuing the Ph.D. degree with the School of Public
Policy, Georgia Institute of Technology, Atlanta, GA,
USA, where he studies the social, ethical, and policy
implications of artificial intelligence. He studied
philosophy at Princeton University, Princeton, NJ,
USA, focusing on robotics and intelligent systems.
Mr. Schiff served as the Secretary for the IEEE
7010 Recommended Practice for Assessing the
Impact of Autonomous and Intelligent Systems on
Human Well-Being. He has published in venues
such as AI & Society, Journal of Engineering
Education, and AMA Journal of Medical Ethics, and
Nanotechnology.
Bogdana
(Bobi)
Rakova is currently a
Data Scientist, part of the Responsible AI Team at
Accenture, as well as a Contributor to the IEEE 7010
Recommended Practice for Assessing the Impact of
Autonomous and Intelligent Systems on Human WellBeing.
She has researched in the fields of fairness,
accountability, and transparency of machine learning
(ML) and artificial intelligence (AI) for social good. She
was part of the Assembly: Ethics and Governance
of AI Program in 2018, a collaboration between the
Berkman Klein Center for Internet and Society at
Harvard Law School, Cambridge, MA, USA, and the
MIT Media Lab, Cambridge. She is passionate about
social change through responsible systems that
empower everyone to participate.
Aladdin Ayesh received the M.Sc. degree from
Essex University, Colchester, U.K., in 1995 and the
Ph.D. degree from Liverpool John Moores University
(LJMU), Liverpool, U.K., in 2000.
He is currently a Professor of artificial intelligence
with De Montfort University, Leicester, U.K. He has
over 140 publications. His current research focuses
on computational cognition and machine learning.
93
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IEEE Technology and Society Magazine - June 2021

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