First things first. The ideas in this paper and this htread came from a serious of thrilling and inventive conversations and writing-sessions with @theblub@cfrauenberger@MauriceMagnee@participha and others not on twitter - especially Juan Ye from @univofstandrews
And what were those conversations about, I hear you cry?
Well, they were mostly about how we could make computing a tool for a better society. We had a strong focus on #neurodiversity & #autism (obvs) but actually these ideas link to all sorts of diversity dimensions
Meanwhile the YouTube "up next" algorithm has been accused of actively distorting public perceptions of the truth, with real world political consequences:
How YouTube algorithm works theguardian.com/technology/201…
As a result of these sorts of phenomena, people like @fmanjoo have called for tech companies to wake up to their responsibilities: nytimes.com/2017/12/13/tec…
One common way that tech companies attempt to address the problem of recapitulated bias in their products, is by trying to achieve diversity among their workforce.
Now, clearly diversity in teams is a Good Thing. You'll get no push back from us on that front, but...
...diversity in teams will not solve the problem of "Uniformity Computing"
That's because no team can "represent" diversity. Individual people are different from each other on multiple, fluctuating, complex dimensions that shift over time.
We believe "what is needed is the design of fundamentally new kinds of computing devices" that address the intractable problem of getting along with someone who is different from yourself.
We need mediating devices to help create and represent shared meaning.
Our vision is that #DivComp devices will "invite and facilitate shared meaning-making between individuals and groups, embracing differences rather than eliminating them, without recourse to normative frameworks"
Some hallmarks of Diversity Computing machines...
They will not belong to one person, but live in shared spaces
They will be an active part of a meaning-making process, contributing to & shaping the way two people understand each other
They will align with embodied cognition, providing physical cues & contributions
What does it mean to "auto-detect gender"? what if the detection doesn't align with someone's personal identification? what if someone is mean't to be doing most of the talking? what if people don't want to be recorded?
All this is why #DivComp requires a complex framework
We need to incorporate ethics, philosophy, art, design, engineering, computer science, psychology, sociology and more to realise this vision.
But if we can do it, we think #DivComp could genuinely make the world a better place as part of a bigger social justice agenda
Please read the paper to find out more about #DivComp and follow my co-authors for their thoughts:
A thread on how to access journal articles, for people who don't have access via an employer...
Obv open access is best, but in the meantime, here are some get-arounds, since I've seen a few folks on here struggling to locate articles / coming up against paywalls
First and most likely to be successful, email the author.
The journal article page will normally include author details.
If not, a google of their full name plus one or two keywords from the article will turn up an institutional webpage with their email address
They might be concerned that you want a copy for use in teaching etc (i.e. you will violate the journal copyright by copying and sharing the pdf).
You can address this by specifying that you want the article for your personal interest only.