AI Fairness for People with Disabilities: Point of View
AI Fairness for People with Disabilities: Point of View
复制标题
人工智能对残疾人的公平性：观点
DOI：
--
复制
发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Shari Trewin
中科院分区：
文献类型：
--
作者：
Shari Trewin
我们考虑了残疾人在社会中的公平待遇可能会受到人工智能，特别是机器学习方法使用的影响。我们认为，对残疾人的公平与对其他受保护属性（如年龄、性别或种族）的公平不同。一个主要的区别是残疾的表现方式和人们适应的方式的极端多样性。第二，残疾信息高度敏感，并不总是共享的，这正是因为可能存在歧视。鉴于这些差异，我们探讨公平的定义以及它们在残疾领域的作用。最后，我们提出了在人工智能应用中为残疾人实现公平的方法。
We consider how fair treatment in society for people with disabilities might be impacted by the rise in the use of artificial intelligence, and especially machine learning methods. We argue that fairness for people with disabilities is different to fairness for other protected attributes such as age, gender or race. One major difference is the extreme diversity of ways disabilities manifest, and people adapt. Secondly, disability information is highly sensitive and not always shared, precisely because of the potential for discrimination. Given these differences, we explore definitions of fairness and how well they work in the disability space. Finally, we suggest ways of approaching fairness for people with disabilities in AI applications.