According to the World Health Organization, more than one billion people worldwide have disabilities. The field of disability studies defines disability through a social lens; people are disabled to the extent that society creates accessibility barriers. AI technologies offer the possibility of removing many accessibility barriers; for example, computer vision might help people who are blind better sense the visual world, speech recognition and translation technologies might offer real time captioning for people who are hard of hearing, and new robotic systems might augment the capabilities of people with limited mobility. Considering the needs of users with disabilities can help technologists identify high-impact challenges whose solutions can advance the state of AI for all users; however, ethical challenges such as inclusivity, bias, privacy, error, expectation setting, simulated data, and social acceptability must be considered.<\/p>\n","protected":false},"excerpt":{"rendered":"
According to the World Health Organization, more than one billion people worldwide have disabilities. The field of disability studies defines disability through a social lens; people are disabled to the extent that society creates accessibility barriers. AI technologies offer the possibility of removing many accessibility barriers; for example, computer vision might help people who are […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13556,13554],"msr-publication-type":[193715],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-604818","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-artificial-intelligence","msr-research-area-human-computer-interaction","msr-locale-en_us"],"msr_publishername":"","msr_edition":"","msr_affiliation":"","msr_published_date":"2020-6-1","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"Communications of the ACM","msr_volume":"","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"","msr_how_published":"","msr_notes":"","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"url","viewUrl":"false","id":"false","title":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3356727","label_id":"243109","label":0},{"type":"file","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2019\/08\/ai4a-ethics-CACM-viewpoint-arxiv-updated.pdf","id":"605658","title":"ai4a-ethics-cacm-viewpoint-arxiv-updated","label_id":"243103","label":0}],"msr_related_uploader":"","msr_attachments":[{"id":605658,"url":"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2019\/08\/ai4a-ethics-CACM-viewpoint-arxiv-updated.pdf"},{"id":604821,"url":"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2019\/08\/a14a-ethics-CACM-viewpoint-arxiv.pdf"}],"msr-author-ordering":[{"type":"user_nicename","value":"Meredith Ringel Morris","user_id":32884,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Meredith Ringel Morris"}],"msr_impact_theme":[],"msr_research_lab":[199565],"msr_event":[],"msr_group":[283244,371909],"msr_project":[638724],"publication":[],"video":[],"download":[],"msr_publication_type":"article","related_content":{"projects":[{"ID":638724,"post_title":"AI Fairness and Disability","post_name":"ai-fairness-and-disability","post_type":"msr-project","post_date":"2020-02-22 16:11:34","post_modified":"2021-01-20 17:37:14","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/ai-fairness-and-disability\/","post_excerpt":"This project examines issues around AI FATE (Fairness, Accountability, Transparency, and Ethics) and Responsible AI, with a particular focus on how AI systems impact people with disabilities. 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