AI Policy

QPS EMPLOYMENT GROUP, INC. AI Policy

Updated November 2025

This policy outlines QPS Employment Group, Inc.’s commitment to the responsible, ethical, and transparent use of Artificial Intelligence (AI) across our platforms. It exists to ensure our AI capabilities support innovation while upholding respective human experiences, data privacy, legal compliance, and fairness in recruitment workflows.

Scope

This policy applies to:

All AI-powered product features used within QPS (e.g., job matching, content generation, conversational agents)
All third-party systems integrated into QPS’ workflows
Internal uses of AI for business operations (sales, support, marketing)

Excluded: Purely rule-based automation (e.g., simple if-then email triggers) and manual workflows not involving machine learning, deep learning, or large language models.

Policy Statement

At QPS, we believe AI should enhance human decision-making, not replace it. We recognize our responsibility to ensure AI is:

Fair – Designed to avoid bias and discrimination
Transparent – Explainable to users and candidates
Private & Secure – Respectful of customer and candidate data
Accountable – Governed by rigorous standards and human oversight
Compliant – Aligned with global AI and employment laws “as applicable”

This policy governs how we design, deploy, monitor, and continuously improve our AI systems — grounded in our ethical values and industry-leading governance.

How We Use AI

We embed AI across our workflows to improve hiring experiences and operational efficiency.

Candidate Matching – AI recommends top-fit profiles based on an analysis of skills, experience, location, and other job-related criteria against the requirements of a specific role.
Generative Tools – Job descriptions, screening questions, and outreach messages created with LLMs.
Conversational AI – Chatbots and voicebots for candidate interactions and FAQs.
AI Insights – Spam filtering, skills extraction, and analysis of non-personally identifiable engagement patterns to help prioritize outreach.
Internal Efficiency – Support routing, content drafting, internal analytics.

All outputs are subject to human review, editability, and override.

Responsible AI Principles

We follow five core principles:

Human Oversight

All decisions with employment impact (e.g., hiring, rejection) are made by people. AI is a decision support system — not a decision maker.

Fairness

We do not use or infer protected attributes (e.g., race, gender, age). Our vendors audit models regularly to detect and reduce bias — both internally and via independent third parties.

Transparency

We inform users when AI is involved. Match scores are explainable. Generative content is marked and modifiable. Clients can request model cards and rationale behind outputs.

Privacy & Data Control

Customer data is encrypted, access-controlled, and only used in AI models with consent. Sensitive information is anonymized or excluded where feasible. Clients may opt out of training contributions.

Accountability

Each model has an owner. Every use case follows a lifecycle: Map – Measure – Manage – Monitor. We maintain logs, test results, incident histories, and retraining plans for all key systems.

Risk-Based Classification

High

Description: AI influences hiring
Example: Candidate-job matching
Oversight: Bias audit, legal sign-off, human-in-loop

Medium

Description: AI supports screening
Example: Chatbots scoring assistant
Oversight: Disclosure, monitoring, fallback logic

Low

Description: Content assist
Example: AI-written job descriptions/emails
Oversight: Editable output, internal QA

User & Customer Controls

We prioritize visibility and choice:

AI content is always editable by humans
Match scoring includes explainable reasons
Customers may opt out of data training
Candidates are notified when engaging with AI and may opt out of engaging with automated systems
Feedback loops allow users to report errors or concerns
Escalation paths ensure human intervention is always available

Acceptable Use

Misuse of QPS AI features is strictly prohibited, including:

Inferring race, gender, religion, disability, or similar attributes
Generating harmful, misleading, political, or offensive content
Plagiarism or misuse of AI-generated content in academic/regulated contexts

Note: Violations may result in legal action.

Policy Maintenance

This policy is reviewed annually or earlier if:

New AI features are launched
Global regulations are updated
Risk assessments or customer feedback warrant revision

Contact

For questions, documentation, or AI-related concerns, contact: hr@qpsemployment.com