Last revised: May 2026

Gender-Based Analysis Plus (GBA Plus) Alignment Statement

DataPeak is committed to supporting inclusive, equitable, and non-discriminatory outcomes. Our approach aligns with the Government of Canada’s Gender-Based Analysis Plus (GBA Plus) framework, an analytical process used to assess how diverse groups of people may experience systems, policies, and technologies differently, and to identify and mitigate potential barriers or unequal impacts.

1. What is GBA Plus?

Gender-Based Analysis Plus (GBA Plus) is an analytical approach used to support the development of inclusive and responsive initiatives by:

  • Understanding who is impacted

  • Identifying differences in how groups experience outcomes

  • Anticipating and reducing barriers

It is an intersectional framework, meaning it considers a range of identity factors beyond gender, including age, disability, ethnicity, economic status, geography, language, race, religion, and sexual orientation.

GBA Plus is used to challenge assumptions, reduce bias, and improve outcomes across diverse populations.

2. Relevance to AI Systems

AI systems can unintentionally introduce or reinforce bias if data, models, or workflows do not account for diverse populations.

Applying GBA Plus principles to AI systems helps ensure:

  • Outputs do not disproportionately impact certain groups

  • Bias in data and processing is identified and addressed

  • Systems are designed with awareness of diverse user contexts

  • Outcomes remain fair and non-discriminatory

DataPeak recognizes that minimizing bias and preventing discriminatory outcomes in AI systems is critical, particularly when AI is used to analyze data or support decision-making.

3. DataPeak Alignment with GBA Plus

DataPeak aligns with GBA Plus by supporting inclusive, bias-aware, and transparent practices across its platform, including in the use of AI.

3.1 Bias-Aware AI Workflows

  • AI outputs can be reviewed, validated, and refined by users

  • Workflows allow adjustment of inputs and processing steps

  • Data transformation capabilities support improved data quality

Outcome: Reduces the likelihood of biased or discriminatory outputs.

3.2 Human Oversight and Control

  • Human-in-the-loop workflows prevent fully automated decision-making

  • Users can review, approve, or modify outputs

  • AI is used as a support tool rather than a final decision-maker

Outcome: Prevents unchecked automation that could lead to unequal impacts.

3.3 Transparency and Traceability

  • Visibility into workflow steps and data transformations

  • Structured outputs and reporting

  • Auditability of AI-driven processes

Outcome: Enables identification and mitigation of potential bias.

3.4 Inclusive Data Handling

  • Support for structured and unstructured data

  • Flexible workflows across different use cases

  • Tools to refine and improve data inputs

Outcome: Reduces the risk of incomplete or unrepresentative data influencing results.

4. Commitment to Non-Discrimination

DataPeak is committed to:

  • Minimizing bias in AI-generated outputs

  • Preventing discriminatory or unequal outcomes

  • Supporting equitable use of data and AI technologies

  • Enabling customers to identify and address bias in their workflows

This aligns with the intent of GBA Plus to ensure that systems and decisions do not create or reinforce barriers for different groups.

Official Government Reference

Gender-Based Analysis Plus (GBA Plus) – Government of Canada

https://www.canada.ca/en/women-gender-equality/gender-based-analysis-plus/what-gender-based-analysis-plus.html

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