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Artificial Intelligence and Ethics
I would like help with a Group discussion question.
It seems that just as quickly as
Artificial Intelligence systems show promise in transforming how we
work, live, drive, and even get treated by law enforcement, scholars and
others question the ethics that surround these autonomous
decision-making systems. The ethics of AI focuses on whether or not
decisions are being made that discriminate against people on the basis
of race, religion, sex, or other criteria. AI’s profound bias problems have
become public in recent years, thanks to researchers like Joy Buolamwini
and Timnit Gebru, authors of a 2018 study
that showed that face-recognition algorithms nearly always identified
white males but recognized black women only two-thirds of the time.
Consequences of that flaw can be serious if the algorithms cause law
enforcement to discriminate when identifying suspects, or doctors use
the algorithms to decide who to treat.
The challenge for developers is to
remove bias from AI, which is complicated because the system depends
upon the data that goes into the system. Training data must be vast,
diverse, and reflective of the population so that the AI system has a
strong sample.
Use this forum to discuss two examples
of situations where bias can skew the data causing an AI system to
discriminate against certain groups of people. How can fairness be
built into the AI systems? Are the advantages that AI bring to a system
worth the bias, if uncorrected?

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