Josh Clark on design principles for addressing flaws in machine learning.
(via waxy.org)\
"The answer machines have an overconfidence problem. It’s not only a
data-science problem that the algorithm returns bad conclusions. It’s a
problem of presentation: the interface suggests that there’s one true
answer, offering it up with a confidence that is unjustified.
So this is a design problem, too. The presentation fails to set appropriate
expectations or context, and instead presents a bad answer with
matter-of-fact assurance. As we learn to present machine-originated
content, we face a very hard question: how might we add some productive
humility to these interfaces to temper their overconfidence?
I have ideas."
https://bigmedium.com/speaking/design-in-the-era-of-the-algorithm.html
Yours,
Chris Koerner
Community Liaison - Discovery
Wikimedia Foundation