Tag: explainable AI
IBM Advances Watson Family Including AI FactSheets at AI Summit
By John P. Desmond, AI Trends Editor
At its virtual AI Summit held in December, IBM announced updates across the Watson family of products in...
Startup: Truera Raising Money to Get AI Explainability Solution to Market
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...
2021 Predictions: Rise of ‘Glocalization,’ Model Monitoring, Focus on Supply Chain
By AI Trends Staff
From Dr. Lance Eliot, author of AI Trends Insider on Autonomy column in AI Trends, and global expert on AI:
The Machine Learning (ML)...
Data Scientists Engaged in the Battle Against Data Bias
By AI Trends Staff
Data scientists have joined the battle to eliminate or at least identify the bias in datasets used to train AI programs.
The...
Work Underway to Assess and Rate AI Model Transparency
By AI Trends Staff
We hold these truths to be self-evident: a machine learning model is only as good as the data it learns from....
Why Your Company Needs White-Box Models in Enterprise Data Science
By Ryohei Fujimaki, Ph.D., Founder and CEO of dotData
AI is having a profound impact on customer experience, revenue, operations, risk management and other business...
Need to Build Trustworthy AI Systems Gains Importance as AI Progresses
By John P. Desmond, Editor, AI Trends
The push is on to build trusted AI systems with an eye toward instilling confidence that results will...
People-Centered Design For Deep Learning
In an MIT Sloan Management Review article published last week, David A. Bray and Ray Wang outline the challenges ahead for incorporating people-centered design...
2020 AI Predictions: Black Box Cloud Seen Lifting, RPA in Enterprise,...
By AI Trends Staff
We invited readers to submit their top predictions for the impact of AI on business in 2020. Here is a selection...
Explainable AI is the Mission of Mark Stefik of PARC
As artificial intelligence (AI) systems play bigger parts in our lives, people are asking whether they can be trusted. According to Mark Stefik, this...