Effective Date: 16 July 2026
AIQScore™ is committed to advancing AI literacy, workforce readiness, education, and responsible AI adoption through evidence-based research and benchmarking.
This Research & Benchmarking Policy explains how AIQScore™ may use anonymized and aggregated assessment data to generate research insights, industry benchmarks, statistical reports, and AI readiness indices while protecting the privacy and confidentiality of individuals and organizations.
Our objective is to contribute to better decision-making by learners, employers, educational institutions, governments, policymakers, and industry through trusted AI capability intelligence.
This Policy applies to data collected through:
AIQScore™ may use the following categories of information for research and benchmarking:
Where appropriate and lawful, we may analyze broad demographic information such as:
This information is analyzed only at an aggregated level.
We may also analyze:
Protecting user privacy is fundamental.
Before research or benchmarking activities are conducted, AIQScore™ removes or transforms personal identifiers wherever appropriate.
Research datasets are designed to avoid direct identification of individual participants.
Examples of information excluded from research datasets include:
AIQScore™ may publish aggregated benchmarking reports, including but not limited to:
These reports are intended to provide insights into AI capability trends and are based on aggregated data.
Assessment data may be used to:
AIQScore™ may publish:
These publications will generally present aggregated findings rather than individual-level information.
Organizations participating in AIQScore™ benchmarking programs may receive customized reports comparing their performance against peer groups.
Such reports may include:
Comparative insights are designed to preserve the confidentiality of participating organizations.
AIQScore™ may collaborate with:
Where such collaborations involve data analysis, AIQScore™ will take appropriate measures to safeguard privacy and comply with applicable laws and contractual obligations.
Publicly released research reports may include:
Individual assessment records are not intended to be published.
Research activities conducted by AIQScore™ are guided by our Responsible AI Principles, including commitments to:
We strive to ensure that research outputs are evidence-based and presented responsibly.
AIQScore™ does not sell personal assessment data.
Personal information is processed in accordance with our Privacy Policy and applicable data protection laws.
Where consent is required under applicable law for specific research activities, it will be obtained before such processing.
Research datasets are protected through appropriate administrative, technical, and organizational safeguards, including:
Only authorized personnel and approved research partners may access research datasets as necessary.
Subject to applicable law, users may:
Requests may be submitted to:
Email: pankaj@aiqscore.org
AIQScore™ may update this Policy periodically to reflect changes in technology, research practices, legal requirements, or business operations.
The latest version will always be published on www.aiqscore.org.
| Research Principle | Our Commitment |
|---|---|
| Privacy by Design | Protect personal information through appropriate technical and organizational measures. |
| Anonymization & Aggregation | Use anonymized or aggregated data for research and benchmarking wherever appropriate. |
| Transparency | Clearly explain how research and benchmarking data is used. |
| Scientific Integrity | Base reports on objective, evidence-based methodologies. |
| Fair Benchmarking | Use consistent benchmarking criteria and avoid misleading comparisons. |
| Responsible AI | Apply ethical AI practices when generating insights and reports. |
| Continuous Improvement | Use research findings to enhance assessments, methodologies, and AIQScore™ services. |
Research & Benchmarking Office
AIQScore™
Email: pankaj@aiqscore.org
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