ExpiredServicesAmended (1x)
Trust Meter technical specification
Spécification technique sur le baromètre de confiance
Description
Since 1970, the Standards Council of Canada (SCC) has helped make life safer, healthier, more prosperous and sustainable for people, communities and businesses in Canada through the power of standardization. SCC works with a vast network of partners nationally and around the world, acting as Canada’s voice on standards and accreditation on the international stage, including as a member of the International Organization for Standardization (ISO) and International Electrotechnical Commission (IEC). As the country’s leading accreditation organization, SCC creates market confidence at home and abroad by ensuring conformity assessment bodies meet the highest expectations. In all these ways, SCC opens a world of possibilities. For more information, visit https://www.scc-ccn.ca
The Trust Meter technical specification project is being advanced under SCC’s AI and Data Governance (AIDG) Program. This initiative aims to address statistical discrimination against minorities and outliers in AI and data analytics. The project involves the development of a tool that allows AI implementers to assess whether the person, group, or decision in question falls outside of a statistical threshold, making the outcome inequitable, inaccurate, or wrong. When an individual is identified as beyond this threshold, the tool signals that AI should not be applied, helping prevent discriminatory outcomes.
The Trust Meter project seeks to create an inclusive and balanced data environment, beginning with persons with disabilities and extending to other marginalized groups. Through this tool, the project aims to address barriers across the data ecosystem, promoting fair treatment and mitigating risks associated with statistical discrimination.
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Quick Summary
The Standards Council of Canada (SCC) is advancing a project under its AI and Data Governance Program to develop a Trust Meter tool. This tool will help AI implementers assess if individuals or groups fall outside statistical thresholds, addressing issues of statistical discrimination in AI and data analytics.
Ideal For
Companies specializing in AI software development and data analytics solutions with expertise in fairness and bias mitigation should bid.
Artificial IntelligenceData AnalyticsAI GovernanceSoftware DevelopmentStatistical Analysis
High complexityTender Details
- Reference Number
- cb-621-51207186
- Solicitation Number
- ACAN-2025-01
- Publication Date
- Jan 16, 2025
- Closing Date
- Jan 31, 2025
- Procurement Method
- Advance contract award notice
- Selection Criteria
- Not applicable
- Notice Type
- Advance Contract Award Notice
Classification
- UNSPSC Code
- 80101703
- UNSPSC Description
- Specification standardization services
Trade Agreements
None
Contracting Entity
Standards Council of Canada
600-55 Metcalfe Street
Ottawa, ON
Regions of Delivery
Canada
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