People who are anxious or unsure about human relationships are more likely to view AI with skepticism or mistrust.
In the news this week: A bevy of partnerships to bring artificial intelligence (AI) and machine learning (ML) to medical applications, and
Math and numbers can't naturally overcome an implicit bias without some active involvement by those who can see the blind
To overcome AI bias challenges, businesses should utilize technology to address the problem head-on and at a
To trust AI, businesses need reliable tools and applications that are frequently regulated and evaluated.
Deloitte announces its Trustworthy AI framework, the NSF establishes new AI institutes, the Department of Energy funds five quantum information science …
Evolving global data privacy and consumer protection laws make it important for companies to protect sensitive data from acquisition through its use in AI …
The Institute will bring together the brightest minds in the field to help address a wide spectrum of relevant AI use cases.
A way to prevent a disconnect between the model and the business is through explainable AI, which can address the reasoning behind why AI decisions are
Considering the increasing consequences of faulty AI, explainable AI is going to be a critical issue facing data science for many