Reviews

Search results

• 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

• Artificial Intelligence and the Dignity of Risk

  Emily Shea Tanis, Clayton Lewis · 2020 · SIGACCESS Accessibility and Computing

  This paper examines the dual risks and opportunities that AI-based systems pose for people with cognitive disabilities, framed around the concept of the "dignity of risk" — the right to make self-directed choices about tradeoffs between risks and benefits, including the freedom…

  AI fairness · cognitive disability · dignity of risk · privacy · algorithmic bias

• Using a participatory activities toolkit to elicit privacy expectations of adaptive assistive technologies

  Foad Hamidi, Kellie Poneres, Aaron Massey, Amy Hurst · 2020 · Proceedings of the 17th International Web for All Conference (W4A)

  This paper addresses a critical but often overlooked tension in assistive technology design: the privacy tradeoff inherent in adaptive assistive technologies (AATs) that must collect and analyze user performance data to function effectively. The authors developed a participatory…

  privacy · assistive technology · adaptive systems · participatory design · essential tremor

• Exploring Collection of Sign Language Datasets: Privacy, Participation, and Model Performance

  Danielle Bragg, Oscar Koller, Naomi Caselli, William Thies · 2020 · Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2020)

  This paper tackles a fundamental tension in building machine learning systems for marginalized communities: the need for large training datasets versus the privacy risks of collecting data from small, identifiable populations. The authors focus on sign language video collection,…

  sign language · privacy · machine learning · data collection · Deaf culture

• 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

• Pedestrian Detection with Wearable Cameras for the Blind: A Two-way Perspective

  Kyungjun Lee, Daisuke Sato, Saki Asakawa, Hernisa Kacorri, Chieko Asakawa · 2020 · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

  Wearable cameras — embedded in commercial products like OrCam, Aira, and eSight — promise blind users equitable access to visual information about the people around them: who is approaching, where they are looking, whether eye contact is possible. But the always-on nature of…

  wearable camera · pedestrian detection · social acceptance · face recognition · privacy

7 results.