Designing for an Authentic AI

Sridhar Dhulipala
Jul 20, 2018 · 10 min read
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Mechanical Duck, built by Jaques de Vaucanson (1738, France) Source: https://commons.wikimedia.org/wiki/File:MechaDuck.png

Higher order automation as opposed to mechanical automation

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A tale of two faces!
Creating Ava — Soul Machines
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There are multiple degrees to the user center


Authenticity and Free will

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The Half Full Cup — remove noisy information before analysis and design
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Dunn/Belnap multi-valued logic
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Not Boolean > How the swing voter went extinct by Alvin Chang. Source: https://www.vox.com/policy-and-politics/2016/11/4/13496688/swing-voters-dying-cartoon
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The Half Empty Cup — let the machine learn to tell between Good Vs Bad/Noisy data. Let AI generate Anticipatory user interfaces. Think of them as A/B tests on steroids.
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Decomposing Micro Interactions to be served by underlying micro services.
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Data driven, AI driven technology can lead to more wholesome, personalized user experiences provided it makes sense of all the data
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I choose to do or not do something — is there a tilt? is the salt enough?

Error handling in AI driven systems, if such a thing is possible with automation

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How can UX incorporate behavioural cues that trigger critical thinking — to detect errors and act to prevent them or flag them — Immensely useful in driverless car ecosystems, fake news publishing

These ~ Authenticity of AI generated UX and Error handling in unsupervised ML systems, and how UX Designers address will bridge what I call last mile delivery of UX, to help transform it will be the pivots in UX for AI — less visual and more cerbral!

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