AI Quality Testing & Audit
AI Quality Testing & Auditing
For Reliable and fit for purpose AI systems
Οverview
We offer a well-structured and flexible AI Quality testing and auditing framework, which combines automated tools based on the ISO 29119-11 international standard for testing AI-based systems and human expertise.
Our solution provides useful and actionable insights in a meaningful and efficient manner, into the AI Risk Assessment, AI Governance and Compliance Evaluation processes of an organisation.
It also serves as a comprehensive technical guide for fostering responsible AI deployment and usage, by promoting quality, transparency, accountability and human-centric AI practices within the organization, while maximizing the business value of AI systems.
What we test
Our own proprietary AI Quality testing platform, iQ4AI enables the analysis of any type of data and AI models based on the ISO 29119-11 international standard for testing AI-based systems.
We dig deep into the AI model and the data it utilizes in order to provide a comprehensive overview of all relevant aspects of an AI system, so that our clients can understand what’s going on in the AI model/algorithm itself.
Type of project: Either one-off or with audits at predefined intervals.
This bifurcation ensures a comprehensive evaluation of AI systems, addressing both their functional efficiency and their ethical, secure, and transparent operation.
Based on these results, as well as our clients’ own business context, our advisors develop a full AI risk profile and actionable, prioritized recommendations to ensure their objectives stay on track.
Performance Testing
We assess how effectively an AI system performs its intended tasks. This includes evaluating the system’s accuracy and efficiency in various operational scenarios. It’s crucial for determining whether the AI system meets the operational requirements of a business.
Trustworthiness Testing
Τhis type of analysis encompasses several critical aspects.
Fairness / Bias Testing: Ensuring the AI system does not exhibit biased decision-making and treats all user groups equitably.
Transparency / Explainability Analysis: The provision of explanations on how the decisions of the AI system are being derived and assessment of the validity, clarity and understandability of the decision-making processes
Robustness / Security & Safety: Testing for data variance related vulnerabilities to protect the system from cyber threats targeting an AI system’s potential robustness shortcomings and safeguard data integrity.
Reliability: Evaluating the consistency and dependability of the AI system over time and under different conditions.
Methodology
Our comprehensive set of specialized tests and analyses provide deep insight into the state of your AI-system and input for improvement or risk management programs.
Our engagements produce clear and practical outputs that enable organizations to improve their AI systems. Typical deliverables include:
- AI System Assessment Report
- Identified risks and weaknesses
- Evidence-based evaluation results
- Recommendations for improvement
- Prioritized roadmap for strengthening AI quality
The goal is not simply to highlight issues but to provide pragmatic and actionable suggestions for improvements and not theoretical or out of context advice, thus building a clear path toward more reliable and trustworthy AI systems.
Technical
Assessment
Assessment
We evaluate AI systems, algorithms, and models to ensure compliance with technical standards and guidelines. We conduct thorough technical testing using our AI Quality Testing platform, iQ4AI and analysis to identify vulnerabilities and areas for improvement.
AI Risk Assessment
& Mitigation
& Mitigation
We identify potential risks associated with AI deployment and operations. These risks may be associated with data vulnerabilities, AI assets’ performance, robustness, security, explainability and transparency; they may even have legal implications. They are prioritised based on the project’s context and then strategies and frameworks are developed to mitigate these risks effectively.
Continuous Monitoring &
Auditing (optional)
Auditing (optional)
We use iQ4AI to perform independent, recurring audits combined with on-going advisory support. Continuously enhance the mechanisms established for the ongoing monitoring, auditing, and reporting processes, to ensure risk mitigation and compliance, as regulations evolve and as the organization’s AI landscape changes.
Compliance
We have the flexibility to adopt our AI quality testing & auditing processes to specific requirements, generated either by clients’ needs and/or aiming compliance with existing and upcoming regulations such as the EU AI Act.
Our solutions EU AI Act Assurance and NYC AI Bias Audit are indicative examples.
Benefits
Maximize Business Value
& Improve ROI
Technical assessment ensures that AI systems perform as intended under various conditions, leading to improved efficiency and productivity.
Through periodical monitoring & auditing, each AI asset always represents and resolves a current business problem and adapts to evolving requirements and industry standards.
Compliance Assurance with minimum adaptation costs
Gain assurance that your organization meets the regulatory requirements and obligations, mitigating the risk of non-compliance penalties and legal issues. Reduce initial and subsequent costs by avoiding costly and hasty implementations and technical debt due to lack of adequate analysis & planning.
Risk
Mitigation
Identify and address legal, ethical, and reputational risks associated with AI deployment, safeguarding organisation.
Enhance Governance
& Build Trust
Demonstrate your commitment to responsible AI practices, enhancing confidence and trust among regulatory authorities, customers, investors, and other stakeholders.
Why us
Many organizations focus on AI governance frameworks or policy documentation.
At code4thought, we go one step further.
We evaluate the AI system itself.
Our approach combines governance expertise with deep technical testing capabilities.
Key strengths include:
- Independent third-party AI system evaluation
- Industry, Model and Data-Agnostic solution
- Methodology aligned with international standards such as ISO 29119-11, ISO 42001 and ISO 5338
- Unique combination of expert advisory and proprietary AI testing platform iQ4AI
- Client-specific approach, tailored to the unique requirements and circumstances of each organisation
- Proven Track Record in assessing risks associated with large-scale software and AI systems across various industries and sectors.
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Let's build AI systems you can trust!
FURTHER READING
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