Tay scandal taught us to take accountability, says Microsoft CEO
Satya Nadella says Redmond has learned from its disastrous racist chatbot
Microsoft CEO Satya Nadella stressed today that it is the job of AI companies to ensure that artificial intelligence in kept under control.
Speaking at the London launch of his new book, Hit Refresh, IT Pro heard Nadella address the question posed by many AI sceptics regarding what happens if tech companies create an AI that gets out of hand.
"It's up to us. In other words, how do we approach this with a set of design principles that allow us to control what AI we create? Just like good user experience, I would claim there is good AI," he said. "As designers of AI, it's our responsibility."
Microsoft has invested heavily in the space and Nadella considers it to be one of the three main pillars of the company's future, along with quantum computing and mixed reality. It has made progress with AI most notably through its digital assistant Cortana, but in other areas as well, including machine vision and advanced analytics.
Some of its AI experiments, however, have been less successful. One particularly embarrassing failure was Tay, a Twitter-based chatbot powered by machine learning. Designed to emulate a teenage girl, Tay's conversation was supposed to become more natural through learning from social interactions with real users.
This quickly went off the rails, as trolls exploited the system in order to teach Tay to parrot racial slurs, conspiracy theories and other objectionable comments.
Nadella acknowledged that the experiment proved problematic, but said that the company has learnt from the incident.
"One of the things that has really influenced our design principles is that episode; we have to take accountability. First and foremost, we need to be able to in fact foresee these attacks," he said.
"But the idea that we need to keep the broader goal of having this AI behave properly is our accountability. So how can we test it, how can we make sure that it does not lose control is a lot of places where we're working now."
Top 5 challenges of migrating applications to the cloud
Explore how VMware Cloud on AWS helps to address common cloud migration challengesDownload now
3 reasons why now is the time to rethink your network
Changing requirements call for new solutionsDownload now
All-flash buyer’s guide
Tips for evaluating Solid-State ArraysDownload now
Enabling enterprise machine and deep learning with intelligent storage
The power of AI can only be realised through efficient and performant delivery of dataDownload now