Ethical & Responsible AI Assessment Tool

Evaluates whether your project or idea aligns with internationally recognised principles for Ethical and Responsible Artificial Intelligence (AI).

How to Use the Assessment Tool

This tool helps you evaluate whether your project or idea aligns with internationally recognised principles for Ethical and Responsible Artificial Intelligence (AI).

Steps

  1. 1

    Enter your Project Description

    Briefly describe your project, policy, or AI system.

  2. 2

    Provide your Email Address

    The assessment report will be sent to this email.

  3. 3

    Click “Submit”

    The system will automatically analyse your submission.

You may submit another response immediately after completing the form.

What You Will Receive

  • A summary assessment of your project’s alignment with Ethical & Responsible AI
  • Analysis based on seven major international AI ethics and governance frameworks
  • Identification of covered areas, gaps, and recommendations for improvement

Important Notice

  • This assessment is generated using an AI-assisted analysis tool to support responsible AI design and governance.
  • It does not constitute legal advice.

Example of Input

Project Description

The identification of intelligent individuals through culturally pertinent and objective evaluation frameworks is essential for the development of talent and the advancement of education.

This study introduces a composite intelligence evaluation system tailored to Kazakhstan’s socio-cultural and educational context. The framework integrates educational achievement, cognitive capabilities, and inventive performance using predictive intelligence analysis models and dynamic scoring algorithms.

The proposed approach demonstrates high predictive performance (AUC-ROC 0.95) and supports national initiatives such as “Kazakhstan 2050” through scalable, data-driven talent identification.

Example of Output (Excerpt)

Ethical & Responsible AI Assessment Summary

Executive Overview

The project demonstrates strong technical rigor and culturally adaptive design, with high predictive accuracy and potential societal benefits in education and talent development. However, it lacks explicit ethical governance mechanisms, including data privacy protections, human oversight, transparency, and accountability. Across multiple international frameworks, ethical intent is implied but not operationalised. Overall, the project is technically mature but ethically incomplete for responsible real-world deployment.

Key Findings Across Frameworks

Strengths

  • Clear societal benefit and alignment with national development goals
  • Robust model performance and reproducible technical methodology
  • Awareness of socio-cultural context

Major Gaps

  • No explicit data governance, consent, or privacy safeguards
  • Absence of human-in-the-loop or oversight mechanisms
  • Lack of transparency, explainability, and accountability structures
  • No documented fairness, bias mitigation, or cybersecurity measures
Coverage Summary (Excerpt)
FrameworkStatusKey Missing Elements
UNESCOPartialPrivacy, human oversight, transparency, governance
OECDPartialHuman control, accountability, inclusiveness
EU AI ActPartialRisk management, data governance, user notice
WHOPartialAutonomy, equity, accountability
Recommendations
  • Introduce data governance policies (consent, minimisation, user rights)
  • Implement human oversight and override mechanisms
  • Provide explainability and transparency to affected users
  • Establish accountability, auditability, and post-deployment monitoring
  • Apply fairness and bias mitigation strategies

This assessment is generated using an AI-assisted ethical analysis tool and does not constitute legal advice.

Assessment Form