Grants and Contributions:

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Title:

Developing an assessment framework to evaluate bias of Generative AI in Human Resources (HR) Systems

Agreement Number:

1003397

Agreement Value:

$75,000.00

Agreement Date:

Feb 13, 2023 - May 31, 2023

Description:

Generative AI can be used in HR systems to perform a myriad of functions: it can rank candidates, create job descriptions, generate ideal skills for a job description, create interview questions, as well as many other HR tasks. However, generative AI systems have been shown to contain implicit and explicit biases, hate, and other negative traits based on the data they have been trained upon. Testing these systems for bias is difficult but will become a requirement, starting with the New York City Local Law 144 and the upcoming EU AI Act. In this proposal, we aim to develop a test framework for testing these systems and making them more robust.

Organization:

National Research Council Canada

Expected Results:

The purpose of IRAP Contributions to Firms is to support research, development, adoption and/or adaptation of innovative or technology-driven new or improved products, services or processes in Canada up to their commercialization

Location:

Toronto, Ontario, CA M6G 1S3

Reference Number:

172-2022-2023-Q4-1003397

Agreement Type:

Contribution

Report Type:

Grants and Contributions

Recipient Business Number:

714072873

Recipient Type:

For-profit organization

Recipient's Legal Name:

Armilla AI Inc.

Federal Riding Name:

University--Rosedale

Federal Riding Number:

35110

Program:

Industrial Research Assistance Program – Contributions to Firms

Program Purpose:

Coverage:

IRAP Contributions to Firms projects stimulate wealth creation for Canada through technological innovation.

NAICS Code:

511211