Posted on

With New Healthcare Tech Relying on Data Sharing, Trust is Required 

Doctor showing senior patient how to synchronize health app in smartphone and smartwatch
By AI Trends Staff  
On the verge of a new era of healthcare in which AI can combine with data sharing to deliver many new services, healthcare organizations need to earn the trust of patients that their data will be used properly. 
That was a message delivered by speakers on healthcare and AI topics at the Consumer Electronics Show held virtually last week.  
Christina Silcox, Policy Fellow at the Duke-Margolis Center for Health Policy
Issues related to data bias and explainability surfaced quickly.  A major issue with …

Read More

Posted on

Startup: Truera Raising Money to Get AI Explainability Solution to Market 

Startup Truera attempts to shine a light into the black box of AI to give visibility into how the model arrives at its recommended decisions. (Credit: Getty Images)  
By AI Trends Staff  
In the black box problem in machine learning, data goes in, suggested decisions come out, and how the model arrived at its suggestions may or may not be explainable. This problem intrigued Prof. Anupam Datta of Carnegie Mellon University, who in 2014 with his PhD student Shayak Sen began researching explainable AI. At the same time, Will Uppington was among the founders at Bloomreach, which was trying to make …

Read More

Posted on

2021 Predictions: Rise of ‘Glocalization,’ Model Monitoring, Focus on Supply Chain 

Expert predictions for AI in 2021 include getting serious about ethics, rise of ‘glocalization,’ end of shadow IT around AI, talent acquisition and monitoring models. (Credit: Getty Images) 
By AI Trends Staff 
[Ed. Note: We have heard from a range of AI practitioners for their predictions on AI Trends in 2021. Here are predictions from a selection of those writing.]   
Lance Eliot, author, podcaster, CEO of Techbrium
From Dr. Lance Eliot, author of AI Trends Insider on Autonomy column in AI Trends, and global expert on AI:    
The Machine Learning (ML) juggernaut continues to grow. In 2021, interest in all things entailing ML …

Read More