AI and Disability: Inclusion or Exclusion?

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Abstract

Artificial Intelligence (AI) is making a lot of noise with the emergence of multiple AI-based tools. But when you are have a disability, does it really change your life or does it isolate you even more? Is the emergence of AI revolutionizing our daily accessibility?

Summary

• Emanuela Bois was born deaf with two year implants. Tanlin Dobrye is a machine learning engineer. They discuss the legal framework, hemlocks and inclusion of AI. Just because it's legal doesn't mean it's ethical.
• Is this estimated that about 15% of the world population has a disability? A disability is not just a problem for people with wheelchairs. 80% of disabilities are not immediately visible. In the short or medium term, we can have mutine disabilities around you.
• Data science is based on data. The first step in whole data science project is taking what is the need? It's a brainstorming according to your problem. The second step is exploratory data analysis. The goal is eventually to find the best model with the best results.
• This year we are seeing more and more automated emission and transcription in video and video platform. There are tremendous opportunities to improve the lives of disabled people like seniors. There is plenty of innovation in progress in beta that can be useful.
• More diversity in tech to combat bias in the design of model and products. Diversity is not just disabilities, but also by gender, ethnicity and religions. Your users are varied, so it's important that the diversity exists.

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