Thursday, September 20, 2018
Submit your own News for
inclusion in our Site.
Click here...
Breaking News
PlayStation Now Adds Downloading of PS4, PS2 Games
U.S. Music Industry Dominated by Streaming
Amazon Announces New Echo Devices, New Alexa Features
AR Headset Prevalence is Still a Few Years Out
Alibaba and Intel Cloud Deliver Joint Computing Platform for AI Inference at the Edge
GoPro Launches New Hero 7 Black, Silver and White Cameras
Xiaomi Launches the Mi 8 Lite And Mi 8 Pro Smartphones in China
Airbnb to Comply with European Commission Demands, Facebook and Twitter Need to Do More
Active Discussions
Which of these DVD media are the best, most durable?
How to back up a PS2 DL game
Copy a protected DVD?
roxio issues with xp pro
Help make DVDInfoPro better with dvdinfomantis!!!
menu making
Optiarc AD-7260S review
cdrw trouble
 Home > News > General Computing > Microso...
Last 7 Days News : SU MO TU WE TH FR SA All News

Tuesday, June 26, 2018
Microsoft's Facial Recognition Technology Performs Well Across All Skin Tones, Genders

Microsoft has updated its facial recognition technology with improvements in the system's ability to recognize gender across skin tones.

That improvement addresses recent concerns that commercially available facial recognition technologies more accurately recognized gender of people with lighter skin tones than darker skin tones, and that they performed best on males with lighter skin and worst on females with darker skin.

With the new improvements, Microsoft said it was able to reduce the error rates for men and women with darker skin by up to 20 times. For all women, the company said the error rates were reduced by nine times. Overall, the company said that, with these improvements, they were able to significantly reduce accuracy differences across the demographics.

The higher error rates on females with darker skin highlights an industrywide challenge: Artificial intelligence technologies are only as good as the data used to train them. If a facial recognition system is to perform well across all people, the training dataset needs to represent a diversity of skin tones as well factors such as hairstyle, jewelry and eyewear.

The team responsible for the development of facial recognition technology at Microsoft, which is available to customers as the Face API via Azure Cognitive Services, worked with experts on bias and fairness across Microsoft to improve a system called the gender classifier, focusing specifically on getting better results for all skin tones.

The Face API team made three major changes. They expanded and revised training and benchmark datasets, launched new data collection efforts to further improve the training data by focusing specifically on skin tone, gender and age, and improved the classifier to produce higher precision results.

"We had conversations about different ways to detect bias and operationalize fairness. We talked about data collection efforts to diversify the training data. We talked about different strategies to internally test our systems before we deploy them," said Hanna Wallach, a senior researcher in Microsoft's New York research lab and an expert on fairness, accountability and transparency in AI systems.

Wallach and her colleagues provided "a more nuanced understanding of bias," said Cornelia Carapcea, a principal program manager on the Cognitive Services team, and helped her team create a more robust dataset "that held us accountable across skin tones."

Ece Kamar is a senior researcher in Microsoft's research lab in Redmond, Washington. She said that improving the performance of the gender classifier in the Face API was mainly a technical challenge. "Collecting more data that captures the diversity of our world and being careful about how to measure performance are important steps toward mitigating these issues," she said.

A more nuanced challenge, she said, is learning how, and when, to go in and mitigate AI systems that reflect and amplify societal biases not because of dataset incompleteness or algorithmic inadequacies, but because human societies are biased.

"If we are training machine learning systems to mimic decisions made in a biased society, using data generated by that society, then those systems will necessarily reproduce its biases," explained Wallach.

Wallach's team is developing best practices for the detection and mitigation of bias and unfairness along the entire development pipeline of these types of AI-powered products and services, from idea creation and data collection to model training, deployment and monitoring.

"This is an opportunity to really think about what values we are reflecting in our systems," said Wallach, "and whether they are the values we want to be reflecting in our systems."

For example, if you do a web search for the word "CEO," chances are you'll get information about the senior leadership position in companies and organizations around the world, including a handful of images - most likely of men.

That's not surprising, since less than 5 percent of Fortune 500 CEOs are women.

At Microsoft, that's prompted an ongoing exploration among engineers at the search engine Bing, in collaboration with experts such as Wallach, that is looking at how best to also surface results that reflect the active discussion in boardrooms, throughout academia and on social media about the dearth of female CEOs - and the efforts to change that.

"When we think about this kind of bias, we start to think about how do we educate our users on the bias, how do we explain to users what is going on in society and how do we potentially help users explore those things," said Michael Golebiewski, a principal program manager on the Bing team.

"It is an area where we don't have all the answers yet. It is an area where we are starting to think about how we have those conversations with the user as they are searching."

Microsoft Classic IntelliMouse Reborn        All News        CyberLink Introduces New Media Suite 16
Twitter to Tackle Abuse and Malicious Bots     General Computing News      CyberLink Introduces New Media Suite 16

Get RSS feed Easy Print E-Mail this Message

Related News
Microsoft Announces With New AI, HoloLens Features
Microsoft to Show New Hardware, Software on Oct. 2
Microsoft Changes Windows 10 and 7 Support Periods
Cloud Services Keep Boosting Microsoft's Revenue
Microsoft Could Release New Xbox Hardware Next Month
Walmart to Use Microsoft's Cloud Tech
Microsoft Calls for Public Regulation of AI Face Recognition Software
Microsoft Offers Free Version of Teams, Its Slack Rival
IBM to Release Huge Facial Analytics Dataset For Studying Bias
Microsoft Classic IntelliMouse Reborn
Microsoft to Buy Bonsai to Build 'Brains' for Autonomous Systems
Microsoft Releases Microsoft News App For Windows 10, iOS and Android

Most Popular News
Home | News | All News | Reviews | Articles | Guides | Download | Expert Area | Forum | Site Info
Site best viewed at 1024x768+ - CDRINFO.COM 1998-2018 - All rights reserved -
Privacy policy - Contact Us .