Trusted AI Inspection

“We create independent trust in AI systems through a structured and transparent assessment of their trustworthiness.”

Artificial intelligence is increasingly taking on business-critical tasks and supporting decisions with far-reaching consequences. This makes it all the more important to assess the trustworthiness of AI systems in a transparent and objective manner. The Trusted AI Inspection by TRUSTIFAI by TÜV AUSTRIA creates transparency, strengthens the trust of customers and stakeholders, and provides a sound basis for the safe and responsible use of AI.

Trustworthy AI as a Success Factor for Organisations

Organisations face the challenge of demonstrating the quality, traceability and governance of their AI systems to customers, business partners, investors and authorities. At the same time, requirements for transparency, risk management and documented control mechanisms are increasing.

Without an independent assessment, the trustworthiness of an AI system often remains a claim made by the operator itself. For organisations, this can create uncertainty in tenders, audits, due diligence reviews or regulatory matters.

A structured inspection provides robust evidence and helps organisations build trust, manage risks more effectively and meet current as well as future regulatory requirements.

Assessment of Governance, Trustworthiness and System Quality

The Trusted AI Inspection assesses a specific AI system based on established Trusted AI principles, recognised standards and proven practices. The focus is on both technical and organisational aspects of trustworthiness.

The following areas are analysed:

  • Application context and system boundaries
  • Governance structures and responsibilities
  • Risk management and control mechanisms
  • Quality, robustness and performance
  • Transparency and traceability
  • Fairness and explainability
  • Documentation and evidence
  • Operation, monitoring and lifecycle management

The result is an objective assessment of the current level of trustworthiness, together with a clear overview of strengths, risks and areas for improvement.

Robust Results for Management and Stakeholders

Upon completion of the Trusted AI Inspection, organisations receive meaningful assessment results and a solid basis for decision-making. These include, among other things:

  • Independent assessment of the AI system
  • Transparent evaluation of its trustworthiness
  • Documented strengths and areas for action
  • Traceable assessment of relevant control mechanisms
  • Management-level summary of the results
  • Recommendations for further development and optimisation

The results support both technical stakeholders and management in making strategic and operational decisions related to the use of AI.

Benefits You Can Expect of the Trusted AI Inspection

  • Independent evidence of trustworthiness for customers and business partners
  • Greater credibility in tenders and procurement processes
  • Stronger market positioning compared with competitors
  • Early identification of potential weaknesses
  • Clear prioritisation of improvement measures
  • Greater traceability and auditability
  • Support in addressing governance and compliance requirements
  • A solid foundation for future certification projects
  • Greater transparency regarding quality, risks and system boundaries

TRUSTIFAI already assesses AI systems against the standards that are currently being developed into future harmonised standards under the EU AI Act. Our scientific experts are directly involved in the relevant CEN/CENELEC committees shaping these standards.

So läuft die Zusammenarbeit bei einer Trusted AI Inspection ab

Phase 1: Scoping & Planning

  • Define the system, version and application context
  • Align on stakeholders and inspection access
  • Request relevant documents and evidence
  • Define the inspection plan and sampling strategy

Deliverables

  • Inspection Plan
  • Agreed assessment framework

Phase 2: Evidence & Risk Review

  • Review evidence and documentation
  • Conduct interviews with key roles
  • Assess risks and failure modes
  • Review MPR, metrics and criteria
  • Identify evidence gaps

Deliverable

  • Assessment criteria and evidence base

Phase 3: Testing & Evaluation

  • Review test data and scenarios
  • Statistically assess performance evidence
  • Evaluate quality characteristics and controls
  • Prioritise findings based on risk

Deliverables

  • Trustworthiness Scorecard
  • Findings Register

Phase 4: Inspection Certificate, Reporting & Management Review

  • Overall assessment and report
  • Scorecard and heatmap
  • Management review
  • Improvement recommendations and optional follow-up

Deliverable

  • Report & Statement of Inspection

More Insights on the Trustworthiness of AI Systems

Trustworthy AI refers to the responsible use of artificial intelligence while taking technical, organisational and ethical requirements into account. Key aspects include transparency, traceability, robustness, fairness, safety and human oversight.

As AI regulation continues to evolve, for example through European AI regulatory frameworks, documented evidence, governance structures and effective risk management are becoming increasingly important. Organisations therefore need robust processes to assess their AI systems in a traceable manner and monitor them continuously.

An independent inspection helps evaluate both the technical performance of an AI system and the organisational framework conditions across its entire lifecycle.

Inspection Report Cover Global Hydro

Make the Trustworthiness of Your AI Systems Visible

Create transparency, strengthen stakeholder trust and obtain an independent assessment of your AI system. The experts at TRUSTIFAI by TÜV AUSTRIA support you with a structured Trusted AI Inspection as a foundation for safe, traceable and trustworthy AI applications.