Algorithms are just as biased as we are. But how do we identify these biases and how do we change our ways to make our technology better and more impactful for everyone?
Presentation given at the Intel Dev Fest 2019
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Algorithms are biased because we are. Are we willing to change?
2. Hi :)
Gregory Menvielle (@greg_menvielle)
際際滷s:
https://www.okaya.me/okaya/2019/06/
devfest2019/
Co-founder of okaya.me and smartnotify.us
Intel Software Innovator
3. BIAS
A 4-letter word
Inclination or prejudice for or
against one person or group,
especially in a way considered to be
unfair.
4. A systematic distortion of a statistical result
due to a factor not allowed for
in its derivation.
6. www.okaya.me
57% of people in tech su鍖er
$300B problem worldwide
W.H.O classi鍖ed disease
8. Amazon scraps secret AI recruiting tool
that showed bias against women.
(reuters 2018)
10. AI has the potential to change how colleges and
universities recruit domestic and international
students by creating algorithms that can predict
the applicants most likely to be accepted and
enrol, from which states and countries, and the
enrolled students most likely to progress and
graduate and become engaged alumni.