
Why Creating Artificial Intelligence for Humans Requires Productive Discomfort
Technology can only reach people if they want it.
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CIO Applications Europe | Tuesday, March 28, 2023

Designing human-centred AI requires greater interaction with people across the enterprise.
FREMONT, CA: Technology can only reach people if they want it. A new era of human-computer interfaces was predicted to begin in 2014 with the release of Google glass for consumers. With all the information they require available in front of them, people can go about their daily lives.
AI that people desire is as vital as making sure it works. Another lesson was the use of AI-based tutors instead of Zoom during the COVID-instigated school closures, which served to alienate students from academic subjects.
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Designing human-centred AI requires greater interaction with people across the enterprise. Having the right people in the room doesn't guarantee consensus and, in fact, results often come from disagreement and discomfort. It's often difficult to get everyone in agreement and on the same page about which systems are helpful and of value to the business.
Sometimes the best AI is none at all. Keep in mind that sometimes all they need is a script while designing, keeping in mind the human-centred approach. Take a human-centric strategy rather than one that prioritises AI. Design and test iteratively with employees to improve their engagement and work happiness.
Contrary to popular belief, it may be advisable to steer clear of attempts to make AI more human-like while creating it, such as using natural language processing for conversational interfaces. The system's productivity-enhancing capabilities may be diminished or lost entirely as a result of this procedure.
They should consider building super tools, telerobots, and active appliances as alternatives to that model and move beyond it. Interaction between people is not the ideal model. Change from natural language contact is one of the better design options.
A new concept of human-centred AI that highlights the need for systems that enhance human existence and challenges the problematic incentives that are currently used to drive the development of AI tools was put forth by the panellists.
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