Episode Cover: Accessibility and Computer Vision

Accessibility and Computer Vision

800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

In this episode, we’re joined by Sina Bahram, Cynthia Bennett, Chancey Fleet, Venkatesh Potluri, and Meredith Ringel Morris.

Digital imagery is pervasive today. More than a billion images per day are produced and uploaded to social media sites, with many more embedded within websites, apps, digital documents, and eBooks. Engaging with digital imagery has become fundamental to participating in contemporary society, including education, the professions, e-commerce, civics, entertainment, and social interactions.

However, most digital images remain inaccessible to 39 million people worldwide who are blind. AI and computer vision technologies hold the potential to increase image accessibility for people who are blind, through technologies like automated image descriptions.

The speakers share their perspectives as people who are both technology experts and are blind, providing insight into future directions for the field of computer vision for describing images and videos for people who are blind.

To access the transcript for this conversation, visit here

To check out the video of this panel, visit here!

Connect with Sina!

Connect with Cynthia!

Connect with Chancey!

Connect with Venkatesh!

Connect with Meredith!


Join Forces!

“More On That Later” by Lee Rosevere licensed under CC By 4.0

1 comment
  • felix

    Computer vision for accessibility is a dead end that is inherently alienated from most blind people, insists on pushing the “vision for the blind” meme that won’t die, doesn’t listen to their actual every day needs, does not address the rampant exploitation across most markets that they face (such as the exorbitant prices for single use accessible devices) that receives large amounts of funding to eventually dissolve and be integrated into surveillance projects. Please stop promoting it as an accessibility solution.

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