Finding Trust and Transparency in AI During Doubtful Times
To trust AI, businesses need reliable tools and applications that are frequently regulated and evaluated.
Topic: Reasonable AI
Real-time Analytics News Roundup for Week Ending September 5
Rolls-Royce develops an AI ethics framework and trust process, a UK consortium aims to bring quantum computing to the enterprise, and more.
Real-time Analytics News Roundup for Week Ending August 29
Deloitte announces its Trustworthy AI framework, the NSF establishes new AI institutes, the Department of Energy funds five quantum information science …
Real-time Analytics News Roundup for Week Ending August 15
Amazon makes Bracket, its managed quantum computer service generally available, DataRobot launches a library of 100-plus AI use cases, and
The State of Government AI Initiatives
AI stands to revolutionize local, state, and federal operations by facilitating human labor and helping to fill in where humans come up
How Differential Privacy Can Make Your AI Models More Responsible
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 Evolution, Misconceptions, and Reality of AutoML
AutoML makes AI more accessible by automating complex manual data science processes. But there are caveats to its use. Here are the top 5 myths and realities …
Is Your AI Model Still Accurate After the Coronavirus Pandemic?
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
FICO’s Scott Zoldi Talks Data Scientist Cowboys and Responsible AI
Zoldi makes the case that Responsible AI can address concerns about model accuracy, ensure appropriate uses, remove doubt about assumptions, and overall …
Peeking Inside the Black Box: Techniques for Making AI Models More Easily Interpretable
Considering the increasing consequences of faulty AI, explainable AI is going to be a critical issue facing data science for many
