[MUSIC PLAYING]
This is the last episode of 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'm giving you a summary of the guidelines
and some recommendations and takeaways from this series.
This series was based around a study
that aimed to identify design guidelines for AI systems.
These guidelines are inspired by the perspective
of people who have of a wide range of backgrounds,
ethnicities, and ages.
These diverse individuals shared with me, their attitudes,
thresholds, and expectations towards AI systems.
In the study, I use qualitative and quantitative tools
to derive key insights to create 10 guidelines.
Among many findings, the study showed
how people's knowledge of AI systems
impacts their understanding of and willingness
to embrace such systems.
I also learned about what I call, the domino
effect of smart things, which occurs when one quickly expands
the number of owned AI devices after successful first
encounters with one AI system.
While people have concerns, they're
also prepared to flex their comfort zones
if there is a high return on investment.
People also want to control AI systems,
and have a preference for efficiency usages.
Finally, while people are open to smart things,
they are less enthusiastic towards
intelligent independent ones.
These guidelines are not set in stone,
but rather, consider them as a practical people-centric
recommendation, designed to spark a healthy debate on how
we create AI systems and the agency
that we should have in that process.
Given that, here are a few questions worth reflecting on.
What level of autonomy and agency should AI systems have?
What level of transparency should be provided?
How should it be delivered?
How should these systems relate to, converse,
and engage with users?
What design attributes may enable effective, accurate,
yet unobtrusive, respectful, intuitive,
and transparent intelligence systems?
What social and behavioral contrasts
should underpin people's interactions with AI?
What ethical considerations should we prioritize?
We all have the moral and ethical responsibility
to engage with how intelligence system futures are being
and will be shaped.
A future enriched and enabled by intelligent yet
trustworthy, ethical systems, require careful implementation
of guidelines, that govern the actions of those in charge
of deciding what to design, how and why,
as well as what data to feed into a given system.
I now, challenge you to actively contribute
to the complex yet exciting task of shaping the present
and future of AI systems.
As Intel co-founder Robert Noyce once said,
now, go off and do something wonderful.
It has been a pleasure to share my research with you.
We'd like to continue this discussion
and ask you, to engage with us in the comments section.
We also, encourage you to share your tips, tricks, and best
practices for AI development.
Don't forget to like this video, and subscribe to the Intel
software YouTube channel.
Thank you for watching.
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