AI & Accessibility: A Conceptual Framework for Inclusive Technology

Authors

  • Laxminarayana Korada, Vijay Kartik Sikha, Dayakar Siramgari

Keywords:

Artificial Intelligence, Inclusive Technology, Accessibility, Inclusive Design, Assistive Technology, Inclusive Education, Disability Models, AI Innovation, Data Privacy, Digital Mental Health, Autonomous Navigation

Abstract

This paper presents a framework that synthesizes artificial intelligence (AI) with established accessibility principles to facilitate the development of inclusive technologies. The primary objective is to ensure that individuals with disabilities can leverage AI-driven systems to enhance their learning, employment, and social interactions. We delineate the intersection of AI's capabilities with universal design concepts, underscoring the necessity for technology that is both adaptable and configurable to meet diverse needs. The proposed framework outlines standards for legislators and developers, advocating the creation of AI applications specifically tailored to assist individuals with disabilities. Furthermore, this study addresses critical ethical considerations, including data privacy and informed consent, which are imperative for the implementation of accessible technology. This paper explores these themes in depth.

Downloads

Download data is not yet available.

References

Shin, Y., et al. (2022). The Role of AI in Enhancing Accessibility for Disabled Users. *Artificial Intelligence Review*, 55(3), 300-320.

Barnes, C., & Mercer, G. (2023). *Disability Studies: A Student's Guide*. Sage Publications.

Brown, A., & Taylor, J. (2023). The Impact of Awareness on Accessibility in Technology Development. *Journal of Disability Studies*, 12(3), 215-230.

Burgstahler, S. (2023). Universal Design and AI: A Comprehensive Approach. *Inclusive Technology Review*, 8(1), 45-60.

Chen, L., & Roberts, K. (2023). Ethical Implications of AI in Disability Contexts. *AI & Ethics Journal*, 5(2), 78-92.

Crawford, K., & Paglen, T. (2023). *Excavating AI: The Politics of Images in Machine Learning*. Yale University Press.

Davis, R., et al. (2023). AI and Communication Accessibility: Innovations and Challenges. *Journal of Assistive Technologies*, 17(1), 56-70.

Fernandez, M. (2024). Intersectionality and Technology: Barriers Faced by Disabled Women of Color. *Journal of Social Inclusion*, 6(2), 112-127.

Garcia, T., et al. (2023). User-Centered Design in AI Technologies for Accessibility. *Human-Computer Interaction*, 15(2), 233-248.

Goggin, G., & Newell, C. (2023). *Disability in Australia: A New Perspective*. Cambridge University Press.

Global Accessibility Awareness Day (GAAD). (2023). A Report on Accessibility Initiatives. Retrieved from [GAAD website].

Himma, K. E., & Tavani, H. T. (2023). The Ethics of AI: Principles and Practice. *AI & Society*, 38(1), 25-39.

Jones, P., & Smith, R. (2023). AI and Communication Accessibility: Innovations and Challenges. *Journal of Assistive Technologies*, 17(1), 56-70.

Lewis, S., et al. (2024). Developing a Framework for AI and Disability Inclusion. *Journal of Inclusive Technology*, 7(1), 19-34.

Martinez, J., & Patel, N. (2023). Regulatory Challenges in AI and Accessibility. *Journal of Technology Law & Policy*, 22(3), 200-215.

Microsoft. (2019). "Microsoft Accessibility and Inclusivity Commitment." Retrieved from [Microsoft Official Website].

Obermeyer, Z., et al. (2023). Dissecting Racial Bias in an Algorithm Used to Manage the Health of Populations. *Science*, 366(6464), 447-453.

Oliver, M. (2023). *The Politics of Disablement*. Macmillan.

Roberts, K., & Green, L. (2023). Standards for Accessible AI: A Policy Perspective. *Technology and Disability*, 29(2), 143-159.

Tufekci, Z. (2023). Informed Consent in the Age of AI. *Journal of Technology and Ethics*, 12(3), 67-81.

Burchardt, T. (2024). Disability and Human Rights: Theoretical Perspectives. *Journal of Human Rights*, 8(1), 45-60.

Davis, R. (2024). Policy Frameworks for AI and Disability Inclusion. *Disability Policy Journal*, 10(4), 299-310.

Floridi, L. (2024). AI and the Ethics of Access: A Just Approach. *Journal of Ethics and Information Technology*, 26(2), 101-115.

Garcia, M., & Nguyen, T. (2024). "Virtual Communication Accessibility: Innovations in Microsoft Teams." *Journal of Communication and Disability Studies*, 6(2), 120-135.

Harris, P., et al. (2024). "Inclusive Technology: Tools for Empowering Individuals with Disabilities." *Journal of Assistive Technology*, 15(2), 150-162.

Jobin, A., et al. (2024). The Global Landscape of AI Ethics Guidelines. *Nature Machine Intelligence*, 6(1), 1-10.

Johnson, A., & Lee, R. (2024). "Enhancing Independence: AI in Wheelchair Technology." *Journal of Assistive Technology*, 15(2), 120-132.

Khan, M., & Patel, S. (2024). "Seeing AI: Enhancing Vision for the Visually Impaired." *Journal of Rehabilitation Robotics*, 5(1), 90-102.

Nguyen, T. (2024). Strategies for Equitable AI Development. *Journal of Tech Equity*, 9(1), 85-102.

Roberts, E., et al. (2024). "AI in Healthcare: Improving Outcomes with IBM Watson." *Health Informatics Journal*, 28(1), 50-64.

Taylor, S., et al. (2024). "Mobile Phone Ownership and Accessibility: Implications for Inclusivity." *Journal of Communication and Disability Studies*, 6(2), 145-158.

W3C. (2024). Web Content Accessibility Guidelines (WCAG). Retrieved from [W3C website]

Downloads

Published

06.08.2024

How to Cite

Laxminarayana Korada. (2024). AI & Accessibility: A Conceptual Framework for Inclusive Technology. International Journal of Intelligent Systems and Applications in Engineering, 12(23s), 983 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/7094

Issue

Section

Research Article