More and more everyday objects now come with artificial intelligence (AI). Smart devices for the home, cars, health, town planning, and much more can already communicate with humans, and will soon also be able to communicate with each other thanks to 5G.
Far removed from the scandals about personal data being collected at all costs, the Consumer Technology Association (CTA), which organizes the CES, predicted a record breaking year for consumer technologies in the U. S. in 2020.
Sales of televisions, smartphones, and connected homes are expected to grow by 2, 3, and 4% respectively, and sales of wireless headsets could jump by 31%, with nearly 67 million pairs sold and earning $8.2 billion in revenues).
Health, beauty, and well-being will be among the stars of this salon, with objects and applications that are increasingly connected and intimate. From diagnostics to treatments, the digital health device sector is expected to grow by 16% this year to $10 billion in revenue.
“AI and automatic learning permeate the entire health sector,” said Jill Gilbert of “Living in digital times,” who organizes conferences at the CES. At a press preview on Sunday, January 5, however, she acknowledged that “the biggest barrier to the adoption of the latest technologies is not innovation, but trust.”
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No user “flashback”
Although all these objects (connected speakers and watches, for example) are indeed regularly accused of spying on their owners without their knowledge, associations have regularly sounded the alarm about the exploitation of data by social networks, brands, governments, and hackers.
The U.S. and European regulators have imposed steep fines. Some politicians are calling for the dismantling of dominant platforms such as Google and Facebook. In addition the U. S. is engaged in a trade war against its economic and technological rival, China, which is rubbing off on world trade. “It’s very fashionable to complain about technology,” wrote American author Rob Walker in the New York Times in September.
Rob Walker stated that “Our devices distract us, social networks poison public debate, new trendy objects violate our right to privacy (…) but in reality, we love our gadgets more than ever. There is no backlash against technology,”.
Emotions and prejudices of the machines
To better anticipate our desires, the machine learning will become an increasingly part of new smart devices. Machine learning has already taught devices how to recognize our voices and faces, they will soon detect our emotions. Knowledge of emotional data “has reached a sufficient level” for companies to use it for marketing, market research or political polling, said Accenture.
Robotic companions will thus be able to show more empathy for the elderly, and a vehicle will probably be able to react to signs of driver fatigue. But “reading emotions is a special business,” noted an Accenture report. “Users will worry about potential privacy issues, security breaches, manipulation, and bias.”
It is up to companies to find the right balance. “Between what consumers say and what they do there is often a huge difference,” observed Tuong Nguyen, an analyst at Gartner. “We need to reassure them about privacy and security issues while designing interesting and useful things.”
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First published in Bourse, a third-party contributor translated and adapted the article from the original. In case of discrepancy, the original will prevail.
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