This is AI:UX a mini-series focused on 10 guidelines that
were created to assist all those that are involved in the design
and development of AI based systems.
I'm Daria Loi, and today I will talk about guideline number
eight.
Create multiple and diverse education tools.
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The "one size fits all" approach is never satisfactory,
particularly in the case of AI systems.
A cookie-cutter design would heavily
compromise how people understand, perceive,
relate to, and embrace the systems.
During my research and interviews,
people asked for a clear idea of what a system is, what it does,
where data goes, and who has access to it, and why.
So my recommendation is to empower people
so they can make informed choices on how to incorporate
AI systems in their lives.
This requires the appreciation that people
have diverse baseline understanding on these matters,
and requires the development of diverse ways to educate them.
This education should identify what AI is, what it does,
and what to expect from it, how to choose
what is best for them, their surroundings, and communities.
These education tools must avoid cryptic, technology centric,
and confusing lingo to be accessible
for the general population.
Education tools should include diversified content,
capable of addressing diverse needs and contexts.
Content should be articulated in diverse ways
because we all learn differently,
and our learning abilities shift depending
on what context we are in.
For example, give your users the opportunity
to learn about the system hands-on
through pre-launch trials, demonstration,
and interactive demos.
Finally, content should reach people
through diversified channels, be it digital
or non-digital, interactive or static.
People need to understand AI, not
be confused or let down by it.
This is why I suggest you create multiple and diverse education
tools.
In the case of complex system powered by AI where
trust is a massive sticking point,
this guideline is fundamental.
Thanks for watching.
Don't forget to like this video and subscribe.
I will see you next week on Tuesday for more AI:UX.
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