For IBM Watson CTO Rob High, the biggest technological challenge in machine learning right now is figuring out how to train models with less data. "It's a challenge, it's a goal and there's certainly
Google has announced some tweaks to search snippets to try to avoid creating problematic information hierarchies.
Two unconnected events that splashed controversy over the tech industry this week share the same underlying theme: Empathy. Or rather a lack of it.
What if we treated them as the boon of billions of years of evolution? They allow us to detect patterns from few instances, to imagine things we've never seen, and to function robustly in a changing
The venture capital industry’s corrosive gender bias, on full display in the past few months, has already cost one of its most valuable new companies billions of dollars; brought about the disso
Sometimes even just defining the problem you’re trying to solve is the hardest part. We need human intelligence to decide how and when to use machine intelligence, and the more sophisticated the use
We tend to think of machines, in particular smart machines, as somehow cold, calculating and unbiased. For some of us, this is a bug: Machines should not be empathetic outside of their rigid point of
There is a blind spot in the development process that affects the general public. When applied to products where safety is a factor, it becomes a question of life and death.
In the aftermath of the U.S. Presidential election, Facebook founder Mark Zuckerberg took the stage at Techonomy16 to address concerns that the company didn’t do enough to stop the proliferatio
As AI and machine learning mature and manifest their potential to take on complicated tasks, we’ve become somewhat expectant that robots can succeed where humans have failed -- namely, in putting as
Facebook recently fired the entire Trending Topics team of human editors amid accusations they were promoting specific agendas and biasing what news was deemed “important.” Now the company is rely
In the digital era of big data, polling is ironically more fraught. The reasons offer a microcosm of both the promise and perils of Big Data.
The AI field lacks diversity -- even more spectacularly than most of our software industry. When an AI practitioner builds a data set on which to train his or her algorithm, it is likely that the data
Facebook responded today to official queries regarding its Trending Topics feature, specifically allegations made over the last few weeks that the team responsible for it was deliberately suppressing
Stories of entrepreneurs launching innovative ideas, raising millions in venture capital and turning startups such as Uber, Airbnb and Snapchat into multi-billion dollar companies has catapulted ventu
Oh yeah. Totally. We swear.