Get a free 2-day Expo Pass (£399) when you sign up for our free Directory of All Things AI (currently in Alpha).
With over 300 HR AI products tracked, detailed, and tagged by use case, our Directory will help you discover the ideal AI HR resource to meet your business challenge.
New York City Mayor Bill De Blasio announced yesterday a task force to examine how city agencies use algorithms to make decisions. The mayor’s office called it the “first of its kind in the U.S.” and said the task force aims to produce a report in December 2019.
Specifically, the new task
force will examine machine learning algorithms used by the New York City Police Department, the Department of Transportation, the Mayor’s Office of Criminal Justice, the Administration for Children’s Services, the Department of Education, and the Department of Social Services. The task force will develop a process to determine whether the automated systems are “fair,” “equitable,” and “accountable.” The report will also identify ways the algorithms’ decision-making can be made more transparent.
At Microsoft, director of artificial intelligence research, Eric Horvitz helped establish an internal ethics board in 2016 to help the company navigate potentially tricky spots with its own AI technology. The group is cosponsored by Microsoft’s president and most senior lawyer, Brad Smith. It has prompted the company to refuse business from corporate customers, and to attach
conditions to some deals limiting the use of its technology.
Microsoft is among the smaller number of companies building formal ethics processes. Even some companies racing to reap profits from AI have become worried about moving too quickly. “For the past few years I’ve been obsessed with making sure that everyone can use it a thousand times faster,” says Joaquin Candela, Facebook’s director of applied machine learning. But as more teams inside Facebook use the tools, “I started to become very conscious about our potential blind spots.”
LinkedIn is launching an internal program called AI Academy that aims to teach employees across the company how to incorporate artificial intelligence tools into their daily work.
LinkedIn’s programme divides AI training into multiple levels designed for different job roles, with instruction led by AI experts from the company’s core AI team. For engineers, the programme takes trainees from understanding how to incorporate and maintain an AI system to shipping one for their team. Meanwhile, product managers focus on building specific domain knowledge required to manage AI products. The AI Academy also includes training on how to approach AI ethically.
Apple is leading the technology industry in its self-driving car testing in California.
In an e-mailed statement to Apple-tracking site MacReports recently, the California Department of Motor Vehicles confirmed the tech giant now has 55 self-driving car permits and 83 drivers licensed to test the technology on the state’s roads. That puts Apple in second place, behind only General Motors’ Cruise division, which has 104 vehicles and 407 drivers, according to the report.
In a bid to expand the capabilities of its cloud platform, Google Inc. has acquired Cask Data Inc., a startup that builds tools for the Hadoop open-source analytics framework. Cask founders Jonathan Gray and Nitin Motgi announced the news in a Monday blog post.
In their new roles, they are set to continue development work on the startup’s open-source Cask Data Application Platform.CDAP is an abstraction layer for Hadoop that enables software teams to interact with notoriously complex framework via comparatively simple application programming interfaces. According to Cask, these APIs allow developers to build large-scale analytics services on top even if they possess limited knowledge of the underlying platform.
Developers making voice apps for Amazon’s Alexa can now use different voices to power their experiences. The voices are being provided for free through the AWS text-to-speech service Polly. Created in 2016 with the same conversational AI that powers Alexa, Polly can speak in nearly 50 voices in 24 languages, but at its start, only eight Polly voices synthesised to sound more human are being made available in developer preview for English-speaking Alexa skills in the United States.
Prior to the introduction of voices from Polly, developers were able to change a voice in a skill experience with the use of pre-recorded MP3 files. Skills developers will be able to add Polly voices using Speech Synthesis Markup Language (SSML).
The city of Tianjian, a major port city in Northeastern China, is establishing a RMB100 billion (US$15.72 billion) fund-of-funds to invest in artificial intelligence technologies, the city announced at the World Intelligence Congress on May 16th.
The move comes amid an intense AI race between China and the US. The Chinese government says it wants to make AI a new economic driving force by 2020, and become an AI leader with key AI industry valued at more than RMB 1 trillion (US$157 billion) by 2030,
according the three-step development plan released by the State Council last year. The fund will also help Tianjin compete against major Chinese technology centers like Beijing, Shanghai and Shenzhen.