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.

翻译：人工智能系统，尤其是生成式人工智能技术，正日益融入我们的社会。例如，残障社群成员（如自闭症人群）可能使用ChatGPT等工具辅助撰写邮件。生成式AI工具影响力的扩大与普及，促使我们审视其对残障社群的相关性。在设计与开发阶段，这一边缘化群体常被忽视，导致针对他们的预测失准与不公平歧视——这可能源于数据、算法及系统在创建与实施各环节中的偏差。本研讨会论文提出一个旨在让残障社群参与生成式AI系统构建的平台。通过该平台，我们旨在深入理解残障群体使用生成式AI时导致输出结果偏差的因素。此外，我们期望明确哪些算法因素主要导致输出结果的不准确或不相关。该平台呼吁来自不同地域与文化背景的残障与非残障人士，以异步、远程方式协作，通过民主化决策流程共同参与。