OCAD University Open Research Repository

Protecting People with Disabilities: A Guide for Non-Technical Committee Members in Understanding the Regulations Needed to Design Ethical AI

Neogi, Trisha (2024) Protecting People with Disabilities: A Guide for Non-Technical Committee Members in Understanding the Regulations Needed to Design Ethical AI. [MRP]

Item Type: MRP
Creators: Neogi, Trisha
Abstract:

Artificial Intelligence (AI) promises large-scale efficiencies that enable faster and “better” decisions. What was once a tool for researchers and technologists has now been made accessible to corporations, regulators, and individuals. Through its rate of development and increased adoption, AI systems and tools are being used to replace human decision-making at a speed that surpasses regulation and intervention. The speed of mass AI adoption and lack of regulation towards protecting communities most impacted by the technology. This is resulting in statistical discrimination and cumulative harm against the most vulnerable groups in society, people with disabilities.

To bring attention to the statistical discrimination and cumulative against people with disabilities, this design and research project contributes to the work of the Capacity Building Seed group and their efforts in standardizing and publishing equitable AI regulations as part of the Accessible Standards Canada priorities. This design and research project contributes to bridging the technical and legal gaps for non-technical committee members that require this information to make informed decisions about the proposed clauses. The outcome of this design and research project is a capacity building resource, which supports a larger working group who developed the Seed Standards, which are proposed regulatory standards for equitable AI regulations that protect people with disabilities in efforts to prevent further harm.

Keywords: Artificial Intelligence, AI Regulation, Trustworthy AI, People with Disabilities, Statistical Discrimination, Data Outlier, Cumulative Harm.

Date: 1 May 2024
Uncontrolled Keywords: Artificial Intelligence, AI Regulation, Trustworthy AI, People with Disabilities, Statistical Discrimination, Data Outlier, Cumulative Harm.
Divisions: Faculty of Design
Date Deposited: 01 May 2024 19:36
Last Modified: 01 May 2024 19:36
URI: https://openresearch.ocadu.ca/id/eprint/4370

Actions (login required)

Edit View Edit View