The Equitable AI Knowledge Hub is a free public resource designed to support advocates, developers, researchers, and practitioners working at the intersection of artificial intelligence (AI) and disability inclusion: Explore evidence-based resources, perspectives and insights addressing key messages, challenges, and opportunities drawn from expertise in the field from across the globe.
This Hub equips users with the knowledge and strategies needed to influence policies, shape inclusive technologies, implement inclusive technologies and promote equitable AI practices. It provides support to enable the potential of AI whilst addressing risks for persons with disabilities.
Equitable AI Alliance
The Knowledge Hub is associated with the Equitable AI Alliance's work:
Please Note: Some external resources linked in this Knowledge Hub may not be fully accessible, as they were created by third parties. If you have questions or need assistance regarding the Equitable AI Knowledge Hub, please contact us at office@zeroproject.org.
Knowledge Hub
Description
Source
AI for Disability Inclusion. Enabling change with advanced technology
AI for Disability Inclusion. Enabling change with advanced technology
Type: Report Date Published: 0 Author (Publisher): Accenture
Abstract
This report highlights the transformative role of AI in fostering workplace inclusion for persons with disabilities. With over one billion people facing employment barriers, it underscores AI's potential in recruitment, accessibility, and engagement. Guided by the R(AI)S principles—Responsible, Accessible, Inclusive, Secure—the report outlines strategies for ethical AI adoption, addressing risks like algorithmic bias and emphasizing inclusive design. Success stories illustrate how AI empowers accessibility and diversity. The report advocates for a multi-stakeholder approach involving employers, policymakers, academics, and developers to build inclusive ecosystems, offering a roadmap to unlock the potential of diverse talent through technology.
Artificial Intelligence and Facilitation of Employment Opportunities for People with Disabilities
Artificial Intelligence and Facilitation of Employment Opportunities for People with Disabilities
Type: Report Date Published: 0 Author (Publisher): EARN - Employer Assistance and Resource Network on Disability Inclusion
Abstract
This policy brief provides a roadmap for organizations to design, procure and use AI to benefit and not discriminate against people with disabilities. It includes a policy framework; discussion of challenges and opportunities regarding recruiting, hiring and provision of reasonable accommodations; guiding principles; best, promising and emerging practices; and helpful resources.
EARN - Employer Assistance and Resource Network on Disability Inclusion
This policy brief provides a roadmap for organizations to design, procure and use AI to benefit and not discriminate against people with disabilities. It includes a policy framework; discussion of challenges and opportunities regarding recruiting, hiring and provision of reasonable accommodations; guiding principles; best, promising and emerging practices; and helpful resources.
Type: Report Date Published: 2019 Author (Publisher): Meredith Whittaker, Meryl Alper, Cynthia L. Bennett, Sara Hendren, Elizabeth Kaziunas, Mara Mills, Meredith Ringel Morris, Joy Lisi Rankin, Emily Rogers, Marcel Salas, and Sarah Myers West. (AI Now Institute)
Abstract
AI systems are increasingly influencing decisions about access to resources and opportunities, yet they often replicate biases and errors, particularly regarding race and gender. However, AI bias related to disability has been largely overlooked, despite disabled people’s historical marginalization and exclusion from power. This marginalization is embedded in AI’s data and logics, perpetuating harm against those already disadvantaged. The report explores disability, bias, and AI. Drawing on disability studies and activism, it highlights risks, challenges norms enforced by AI, and suggests lessons from disability rights for AI accountability. Centering disability refines approaches to mitigate AI harms.
The report explores disability, bias, and AI. Drawing on disability studies and activism, it highlights risks, challenges norms enforced by AI, and suggests lessons from disability rights for AI accountability. Centering disability refines approaches to mitigate AI harms.
Checklist for Employers: Facilitating the Hiring of People with Disabilities Through the Use of eRecruiting Screening Systems, Including AI
Checklist for Employers: Facilitating the Hiring of People with Disabilities Through the Use of eRecruiting Screening Systems, Including AI
Type: Report Date Published: 0 Author (Publisher): EARN - Employer Assistance and Resource
Abstract
eRecruiting systems, including those that utilize artificial intelligence (AI), are becoming more commonly used to screen candidates, streamline the application process, provide training and disseminate information to employees and increase productivity. When used fairly, these systems can facilitate workforce diversity and inclusion and support efforts to recruit, hire, retain and advance people with disabilities. This checklist, co-authored by EARN and the Partnership on Employment & Accessible Technology (PEAT), highlights questions and issues that leadership, human resources personnel, equal employment opportunity managers and procurement officers should consider regarding the accessibility and equitable use of eRecruiting screening tools.
EARN - Employer Assistance and Resource Network on Disability Inclusion
eRecruiting systems, including AI tools, are transforming hiring and workforce management. When used equitably, they enhance diversity and inclusion, benefiting people with disabilities. This checklist by EARN and PEAT helps leaders ensure accessibility and fairness in eRecruiting practices.
Algorithm-driven Hiring Tools: Innovative Recruitment or Expedited Disability Discrimination?
Algorithm-driven Hiring Tools: Innovative Recruitment or Expedited Disability Discrimination?
Type: Report Date Published: 2020 Author (Publisher): Center for Democracy and Technology
Abstract
Algorithm-driven hiring tools are increasingly used to process job applications efficiently but pose significant discrimination risks, particularly for people with disabilities. These tools evaluate candidates using video analysis, online tests, and resume screenings, often rejecting applicants based on biased criteria, such as work gaps due to disability. The Americans with Disabilities Act (ADA) requires hiring tools to be accessible and not exclude disabled candidates unless criteria are job-related and essential. Many tools fail these standards, assessing traits irrelevant to job performance. This report emphasizes the need for employers, vendors, and regulators to address these risks, ensure fairness, and reconsider the tools' appropriateness.
Algorithm-driven hiring tools streamline job applications but often discriminate against people with disabilities, failing Americans with Disabilities Act standards. This report emphasizes the need for employers, vendors, and regulators to address these risks and ensure fairness.
Accessibility Standards Canada (ASC) is developing the Accessible and Equitable Artificial Intelligence (AI) Systems Standard (CAN-ASC-6.2), as a regulatory standard of the Accessible Canada Act. The draft standard will be the first standard to address barriers, risks, and opportunities specific to persons with disabilities. The draft standard is also designed to account for the unpredictable pace of change of AI systems. A kick-off keynote will be delivered by Dr. Jutta Treviranus, the chair of the ASC standard committee and director of the Inclusive Design Research Centre, who drafted the seed standard. Introduction of Keynote Speaker by Pina D’Intino, CPACC, Senior Accessibility Adviser, Strategist and Business Implementation, Aequum Global Access Inc.
Accessibility Standards Canada is developing the Accessible and Equitable AI Systems Standard (CAN-ASC-6.2) under the Accessible Canada Act. This first-of-its-kind standard addresses barriers, risks, and opportunities for persons with disabilities, adapting to AI's rapid changes.
Artificial Intelligence (AI) can significantly improve the lives of people with disabilities. Smart devices and technologies like route planning software, robotic arms, and prosthetic limbs are helping those with sight loss and physical disabilities. As technology becomes more integrated into daily life, it is increasingly favored by those needing assistance. Although some AI technologies are still new, they hold great potential. This paper explores how AI has enhanced living standards for people with disabilities, its future possibilities, and potential legal issues in India. The authors emphasize making daily activities easier for people with disabilities through AI.
Disability Discrimination using Artificlal Intelligence and Social Scoring - Can we Disable Digital Bias?
Disability Discrimination using Artificlal Intelligence and Social Scoring - Can we Disable Digital Bias?
Type: Academic Date Published: 2021 Author (Publisher): Nizan Geslevich Packin (Journal of International and Comparative Law)
Abstract
Algorithmic assessments of personal characteristics gleaned from social networks are regularly used to rate people in fields ranging from insurance premiums, to hiring decisions and employment chances, to social security benefits. These algorithms comb through huge datasets (such as informati on uploaded by users on social networks) to "learn" correlations and trends between certain characteristics and to generate "people-rankings", which systematically rate individuals based on social, reputational, physical, mental and even behavioural features. Because such algorithms equally apply to people with, and without, disabilities,
Law and Artificial Intelligence - Regulating AI and Applying AI in Legal Practice
Law and Artificial Intelligence - Regulating AI and Applying AI in Legal Practice
Type: Academic Date Published: 2022 Author (Publisher): Bart Custers, Eduard Fosch-Villaronga (Springer)
Abstract
The book deals with the intersection of law and Artificial Intelligence (AI). Law and AI interact in two different ways, which are both covered in this book: law can regulate AI and AI can be applied in legal practice.
Type: Academic Date Published: 2024 Author (Publisher): Christo El Morr, Bushra Kundi, Fariah Mobeen, Sarah Taleghani, Yahya El-Lahib, and Rachel Gorman (Health Informatics Journal)
Abstract
The review’s findings revealed AI’s potential to enhance healthcare; however, it showed a high prevalence of a narrow medical model of disability and an ableist perspective in AI research. This raises concerns about the perpetuation of biases and discrimination against individuals with disabilities in the development and deployment of AI technologies. Conclusion: We recommend shifting towards a social model of disability, promoting interdisciplinary collaboration, addressing AI bias and discrimination, prioritizing privacy and security in AI development, focusing on accessibility and usability, investing in education and training, and advocating for robust policy and regulatory frameworks.
Christo El Morr et al. (Health Informatics Journal)
2024
Artificial intelligence (AI) can enhance life experiences and present challenges for people with disabilities. Objectives: This study aims to investigate the relationship between AI and disability, exploring the potential benefits and challenges of using AI for people with disabilities.
AI Driven Personalisation and Disability Inclusion
AI Driven Personalisation and Disability Inclusion
Type: Academic Date Published: 2021 Author (Publisher): Mike Wald (Frontiers in Artificial Intelligence)
Abstract
This study aims to help people working in the field of AI understand some of the unique issues regarding disabled people and examines the relationship between the terms “Personalisation” and “Classification” with regard to disability inclusion. Classification using big data struggles to cope with the individual uniqueness of disabled people, and whereas developers tend to design for the majority so ignoring outliers, designing for edge cases would be a more inclusive approach
This study aims to help people working in the field of AI understand some of the unique issues regarding disabled people and examines the relationship between the terms “Personalisation” and “Classification” with regard to disability inclusion
A Conceptual Model for Inclusive Technology: Advancing Disability Inclusion through Artificial Intelligence
A Conceptual Model for Inclusive Technology: Advancing Disability Inclusion through Artificial Intelligence
Type: Academic Date Published: 2024 Author (Publisher): Maram Fahaad Almufareh, Sumaira Kausar, Mamoona Humayun, Samabia Tehsin (Journal of Disability Research)
Abstract
This article delves into the remarkable AI-driven solutions that have revolutionized their lives across various domains. From assistive technologies such as voice recognition and AI-powered smart glasses catering to diverse needs, to healthcare benefiting from early disease detection algorithms and wearable devices that monitor vital signs and alert caregivers in emergencies, AI has steered in significant enhancements.
Maram Fahaad Almufareh et al. (Journal of Disability Research)
2024
Artificial intelligence (AI) has ushered in transformative changes, championing inclusion and accessibility for individuals with disabilities. This article delves into the remarkable AI-driven solutions that have revolutionized their lives across various domains
Type: Video/ Audio Date Published: 2024 Author (Publisher): Techshare Pro 2024
Abstract
The resource discusses various topics related to AI, including responsible AI usage, misinformation, AI scams, AI ethics, and the use of AI in different scenarios.
The resource discusses various topics related to AI, including responsible AI usage, misinformation, AI scams, AI ethics, and the use of AI in different scenarios.
Type: Report Date Published: 2024 Author (Publisher): Partnership on Employment & Accessible Technology (PEAT)
Abstract
The questions in this checklist were created after speaking to innovators with disabilities who have worked extensively with AI. PEAT developed a report based on these insights and created this checklist as a companion to that report. While not meant to be a comprehensive guide, this checklist will help your organization get a solid start and begin thinking about how to use AI in inclusive ways.
Partnership on Employment & Accessible Technology (PEAT)
2024
The Partnership on Employment & Accessible Technology (PEAT) created this general checklist to support staff in working together to ensure that your organization uses artificial intelligence (AI) tools in inclusive ways.
Type: Report Date Published: 2024 Author (Publisher): Partnership on Employment & Accessible Technology (PEAT)
Abstract
The Partnership on Employment & Accessible Technology (PEAT) created this resource to help you use artificial intelligence (AI)-enabled hiring tools in inclusive ways. We spoke with experts from companies led by people with disabilities that focus on inclusive recruiting. Read on to learn how AI-enabled hiring tools can promote inclusion in your organization and help you recruit talented individuals from underrepresented groups.
Partnership on Employment & Accessible Technology (PEAT)
2024
Innovators with disabilities share how inclusive AI can help you improve business outcomes and attract highly qualified job candidates from underrepresented groups.
Type: Report Date Published: 2024 Author (Publisher): Partnership on Employment & Accessible Technology (PEAT)
Abstract
Artificial Intelligence (AI) has advanced rapidly in recent years, moving from Research & Development (R&D) labs and startups into broader use. Organizations are using AI to screen job candidates, streamline the application process, monitor employee actions, and provide employee training. When not designed and implemented to consider diverse users, AI technologies can increase the risk of workplace discrimination, including for people with disabilities.
Partnership on Employment & Accessible Technology (PEAT)
2024
When not designed and implemented to consider diverse users, AI technologies can increase the risk of workplace discrimination, including for people with disabilities.
Type: Report Date Published: 2024 Author (Publisher): BETT
Abstract
The education sector stands at a crossroads. As AI technologies advance, they offer new possibilities for enhancing teaching and learning. Yet, their integration into schools remains limited, and opinions on their efficacy are divided. To gain a clearer picture of AI’s current role and prospects in education, we commissioned YouGov to carry out a comprehensive survey of teachers across the country. The results offer valuable information on AI implementation, its perceived benefits, and the concerns it raises among educators.
A comprehensive survey of teachers across the UK. The results offer valuable information on AI mplementation, its perceived benefits, and the concerns it raises among educators.
The utilisation of AI technology in assisting individuals with disabilities has novel prospects for enhancing accessibility, fostering inclusivity throughout society, and enabling autonomous living, which would otherwise pose considerable challenges or remain unattainable. As the field of AI continues to progress, it holds the potential to facilitate the development of increasingly sophisticated and groundbreaking approaches to tackle the multifaceted obstacles encountered by individuals with disabilities. Consequently, AI has the capacity to foster greater inclusivity for this population.
Vishal Kumar et al. (Disability and Rehabilitation: Assistive Technology)
2023
Artificial intelligence (AI) driven solutions have the potential to significantly impact individuals with disabilities by providing assistance in their daily activities and facilitating the acquisition of new abilities.
Using Universal Design for Learning and ArtificialIntelligence to Support Students with Disabilities
Using Universal Design for Learning and ArtificialIntelligence to Support Students with Disabilities
Type: Academic Date Published: 2024 Author (Publisher): Sally E. Hyatt & Meghan B. Owenz (College Teaching)
Abstract
The results of this study illustrate how an AI-based assignment can be used, in combination with Universal Design for Learning, to create more equitable assignments, particularly for students with disabilities
Keywords
artificial intelligence, inclusive teaching and learning, inclusive curriculum design, universal design for learning, assessment
Sally E. Hyatt & Meghan B. Owenz (College Teaching)
2024
This paper explores whether Universal Design for Learning (UDL) can be combined with Artificial Intelligence (AI) to create a more inclusive pedagogy for students with disabilities.
The Disability Ethical AI? Alliance (DEAI) was founded by Susan Scott-Parker OBE at Scott-Parker International with IBM and Oxford Brookes University Institute for Ethical Artificial Intelligence. This is an informal thought leadership initiative that offers a wide range of resources on the topic of Disability Ethical AI.
About Cookies
This website uses cookies. Those have two functions: On the one hand they are providing basic functionality for this website. On the other hand they allow us to improve our content for you by saving and analyzing anonymized user data. You can redraw your consent to using these cookies at any time. Find more information regarding cookies on our Data Protection Declaration and regarding us on the Imprint.