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• Fairness of AI for People with Disabilities: Problem Analysis and Interdisciplinary Collaboration

  Jason J. G. White · 2020 · SIGACCESS Accessibility and Computing

  This paper provides a philosophical analysis of the fairness challenges that machine learning-based AI poses for people with disabilities, arguing that these challenges demand unprecedented interdisciplinary collaboration across applied ethics, human rights law, disability…

  AI fairness · algorithmic bias · disability · social justice · ethics

• Fairness Issues in AI Systems that Augment Sensory Abilities

  Leah Findlater, Steven Goodman, Yuhang Zhao, Shiri Azenkot, Margot Hanley · 2020 · SIGACCESS Accessibility and Computing

  This paper examines the unique fairness challenges that arise when AI systems are used to augment sensory abilities for people with disabilities — a context distinct from other AI applications because these systems provide information that is already available to non-disabled…

  AI fairness · sensory augmentation · visual impairment · deaf and hard of hearing · privacy

• Visual Content Considered Private by People Who are Blind

  Abigale Stangl, Kristina Shiroma, Bo Xie, Kenneth R. Fleischmann, Danna Gurari · 2020 · Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2020)

  This paper presents the first empirical study investigating what types of visual content people who are blind consider private, in the context of their use of Visual Interpreters or Description Services (VIDS) — services like Seeing AI, Aira, Be My Eyes, and TapTapSee that…

  visual accessibility · blindness and low vision · privacy · computer vision · artificial intelligence

• Privacy Considerations of the Visually Impaired with Camera Based Assistive Technologies: Misrepresentation, Impropriety, and Fairness

  Taslima Akter, Tousif Ahmed, Apu Kapadia, Swami Manohar Swaminathan · 2020 · Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2020)

  This paper investigates the privacy concerns of both visually impaired people (PVIs) and sighted bystanders regarding camera-based assistive technologies like smart glasses (Orcam, Aira, eSight) that can identify people and provide demographic and behavioral information about…

  visual accessibility · blindness and low vision · privacy · AI bias · AI fairness

4 results.