A Democratic Platform for Engaging with Disabled Community in Generative AI Development

TL;DR

This paper proposes a democratic platform to involve the disabled community in the development of generative AI, aiming to identify biases and improve fairness through inclusive collaboration.

Contribution

It introduces a novel platform that enables disabled and non-disabled individuals worldwide to collaboratively address bias in generative AI systems.

Findings

Insights into factors contributing to bias in AI outputs for disabled users

Identification of key algorithmic contributors to output inaccuracies

A framework for inclusive, democratic AI development

Abstract

Artificial Intelligence (AI) systems, especially generative AI technologies are becoming more relevant in our society. Tools like ChatGPT are being used by members of the disabled community e.g., Autistic people may use it to help compose emails. The growing impact and popularity of generative AI tools have prompted us to examine their relevance within the disabled community. The design and development phases often neglect this marginalized group, leading to inaccurate predictions and unfair discrimination directed towards them. This could result from bias in data sets, algorithms, and systems at various phases of creation and implementation. This workshop paper proposes a platform to involve the disabled community while building generative AI systems. With this platform, our aim is to gain insight into the factors that contribute to bias in the outputs generated by generative AI when used by the disabled community. Furthermore, we expect to comprehend which algorithmic factors are the main contributors to the output's incorrectness or irrelevancy. The proposed platform calls on both disabled and non-disabled people from various geographical and cultural backgrounds to collaborate asynchronously and remotely in a democratic approach to decision-making.