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How to Get Employees to Stop Worrying and Love AI HBR 20180125
How to Get Employees to Stop Worrying and Love AI Brad Power JANUARY 25, 2018

Unfortunately, companies will be unable to take full advantage of the huge potential of AI if employees don’t trust AI tools enough to turn their work over to them and let the machine run. This problem of low AI adoption rates is increasing as businesses of all kinds are seeing successful applications of AI and realizing it can be applied to many data-intensive processes and tasks even as AI technology — once only available at large companies like Google, Amazon, Microsoft, and IBM — is now becoming less expensive and easier for smaller companies to access and operate, thanks to AI-as-a-Service.

Resistance to disruptive, technology-driven change is not unusual. Specifically, many people resist AI because of the hype surrounding it, its lack of transparency, their fear of losing control over their work, and the way it disrupts familiar work pattern
#ai  #implementation  #augmentation  #critique  #advice 
51 minutes ago by phil_hendrix
Artificial intelligence can entrench disparities—here’s what we must do – The Cancer Letter Publications
“GIGO” problem, for example, is troubling for everyone, but particularly concerning for some groups. It has long-been known that clinical trials data do not reflect the diversity of the U.S. population, and thus using these data in AI systems can exacerbate existing biases.
#ai  #design  #disparities 
2 days ago by joyclee
Alert Fatigue | AHRQ Patient Safety Network
Increase alert specificity by reducing or eliminating clinically inconsequential alerts.
Tailor alerts to patient characteristics and critical integrated clusters of physiologic indicators. For example, incorporate renal function test results into the alert system so that alerts for nephrotoxic medications are triggered only for patients at high risk.
Tier alerts according to severity. Warnings could be presented in different ways, in order to key clinicians to alerts that are more clinically consequential.
Make only high-level (severe) alerts interruptive.
Apply human factors principles when designing alerts (e.g., format, content, legibility, and color of alerts).
#bpa  #ai  #design 
3 days ago by joyclee
Executives expect AI to transform healthcare within 3 years | MedTech Dive 20190606
Executives expect AI to transform healthcare within 3 years AUTHOR Nick Paul Taylor PUBLISHED June 6, 2019 SHARE IT POST SHARE TWEET Dive Brief: More than two-thirds of healthcare executives think artificial intelligence and other emerging digital technologies will extensively impact their organizations over the next three years. The new Accenture survey suggests executives will expand quickly beyond the experiments that make up most of the engagement with new digital tools today. Almost 90% of healthcare C-suiters are trying AI and other emerging technologies, and high percentages also believe health IT can help them identify unmet consumer needs and understand customers, according to the survey.
#hc  #ai  #impact  #survey  2019 
4 days ago by phil_hendrix
How to Use Tesla's Autopilot (and How Not to)
When properly employed, Autopilot, which can automatically steer and brake a Tesla Model S or Model X, can be an important driver assistance feature. But for it to enhance safety, drivers need to understand its limits and learn how to use it.
#ai  #design 
5 days ago by joyclee

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