Real Intelligence: The r4 Blog
The Unexplainability Myth
by Paul Signorelli, Chief Solution Architect
One of the criticisms of machine learning algorithms – particularly deep learning algorithms – is that they are a black box. In other words, the reason they reached a particular solution cannot be explained. This leads to a host of problems – from compliance, to risk/reward determination, to issues of discrimination – and helps feed a general distrust of AI… Read >
All Models are Wrong
Data scientists live by the aphorism “All models are wrong… but some are useful.” This truism, often attributed to twentieth century statistician George Box… Read >
Time for Tech to Drive Change
It is long overdue for us as citizens, and as technologists, to make health, safety, and well-being in the Black community real priorities… Read >
All Pandemics are Local
“Global Pandemic” is the headline you see everywhere you look. Simple reality, the COVID-19 pandemic and the resulting economic shock is local… Read >
How to Transform a “Big, Old” Company
into an Agile Digital Business
As consumers, we take digital technologies for granted… We don’t wonder why these things are possible; we simply expect them,” said Designed for Digital… Read >
Avoiding “Winner-Take-All” in the World of AI
In a recent NY Times article, leading tech journalist Steve Lohr captured the anxiety of academic researchers about the concentrated wealth and power… Read >
Beyond Machine Learning: Capturing Cause-and-Effect Relationships
Artificial intelligence is rapidly becoming one of the most important technologies of our era.… Read >