TNW uses cookies to personalize content and ads to
make our site easier for you to use.
We do also share that information with third parties for
advertising & analytics.

Microsoft has announced a series of new efforts to make AI systems more inclusive of people with disabilities.

The initiatives aim to combat the so-called “data desert” that’s left machine learning algorithms without enough relevant training data to be effective for people with conditions such as ALS.

One project, called Object Recognition for Blind Image Training (ORBIT), seeks to change this by building a new public dataset of videos submitted by people who are blind or have low vision. The data will be used to develop algorithms for smartphone cameras that recognize important personal objects, such as someone’s cell phone or face mask.

Microsoft is also collaborating with Team Gleason, an organization that supports people living with Amyotrophic Lateral Sclerosis (WHEN), to create an open dataset of facial imagery of people with the neurodegenerative disease. This will be used to make computer vision and machine learning algorithm better at recognizing people with ALS symptoms.

A third project led by VizWiz is developing a public dataset to train, validate, and test image captioning algorithms. They’ll be used to provide data about things that people with low vision photograph, such as how much of an over-the-counter medicine they should take.

The team is also developing algorithms that instantly recognize when an image submitted is unclear and suggest how to retake it.

“Often it’s not obvious what is meaningful to people, and that’s why it’s so important not just to design for — but design these technologies with — people who are in the blind and low vision community,” said Danna Gurari, who developed the VizWiz dataset.

These initiatives address a few of the many ways in which mainstream algorithms don’t work well for people with disabilities because they aren’t trained on inclusive data.

These oversights could potentially cause a self-driving car to not identify someone in a wheelchair as an object to avoid, or lead a predictive hiring system to lower the rank of job candidates with disabilities as they differ from the product’s idea of what a “successful” employee sounds and looks like.

Building more inclusive and publically-available datasets will help reduce these risks and improve technologies designed to support people with disabilities.

Published October 13, 2020 — 14:56 UTC

October 13, 2020 — 14:56 UTC

Copyright © 2006—2020.
All rights reserved.
Made with


Artificial intelligence, Microsoft Corporation, System

World news – US – Microsoft unveils efforts to make AI more accessible to people with disabilities

Building on its expertise in the areas of digital, technologies and processes , CSS Engineering you in your most ambitious transformation projects and helps you bring out new ideas, new offers, new modes of collaboration, new ways of producing and selling.

CSS Engineering is involved in projects each customer as if it were his own. We believe a consulting company should be more than an advisor. We put ourselves in the place of our customers, to align we incentives to their goals, and collaborate to unlock the full potential their business. This establishes deep relationships and enjoyable.

Our services:

  1. Create professional websites
  2. Hosting high performance and unlimited
  3. Sale and video surveillance cameras installation
  4. Sale and Installation of security system and alarm
  5. E-Marketing

All our achievements here


Please enter your comment!
Please enter your name here