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Responsible AI

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Every capability is designed to support dealership operations while protecting data, reducing risk, and ensuring transparency across the entire experience.<xs><xs>
Responsible AI isn’t an add-on—it’s built into the platform.

Transparency

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Fairness & Bias Mitigation

AI models are evaluated to identify and reduce potential bias. We implement controls and review mechanisms during model development and validation to promote fair and equitable outcomes.

Accountability

Clear accountability structures are established for AI oversight. Governance mechanisms ensure AI systems are reviewed, approved, and monitored by appropriate stakeholders throughout their lifecycle.

Safety & Reliability

AI systems are built following secure development practices and undergo testing and validation to ensure reliability, resilience, and protection against misuse or adversarial threats.

Human Oversight

Where appropriate, human oversight mechanisms are implemented to monitor AI outputs, review critical decisions, and intervene when necessary.

Frequently Asked Questions

Why did Tekion pursue ISO/IEC 42001 certification? 

Tekion pursued ISO/IEC 42001 certification to demonstrate responsible AI governance, ensure risk-based and ethical use of AI, align with global compliance and customer expectations, and provide independent assurance on AI controls and oversight.

What does ISO/IEC 42001 certification cover at Tekion?

ISO/IEC 42001 certification at Tekion covers AI governance and leadership oversight, AI risk management, AI system and data lifecycle controls across design to monitoring, data governance, human oversight, incident management, and continuous improvement.

How does Tekion manage AI risks?

Tekion manages AI risks through a formal risk management process that includes risk identification, evaluation and classification, by considering any impact arising from the AI Systems based on the defined risk criteria and documented treatment plans with clear ownership, timelines, and ongoing monitoring.

How does Tekion address AI bias and fairness?

Tekion addresses AI bias and fairness by evaluating training data quality and representativeness, performing system impact assessments where applicable, documenting mitigation actions, and reviewing AI outcomes during testing and post-deployment monitoring.

How is AI explainability handled? 

Tekion ensures AI explainability by documenting model objectives, limitations, and intended use, providing explanations aligned with the system’s risk level, and enabling internal teams to interpret AI outputs for informed decision-making.

How are third-party or external AI components governed? 

Tekion governs third-party and external AI components by conducting vendor risk assessments, performing security, privacy, and AI risk reviews, enforcing contractual obligations, and periodically reassessing vendors based on their criticality and risk level.

How often is the AIMS reviewed? 

Tekion reviews its AI Management System at least on an annual basis and if any major change occurs in the AI Systems.

Who is accountable for AI governance at Tekion? 

AI governance at Tekion is supported by executive leadership with clearly defined roles and responsibilities, and cross-functional collaboration across Security, Legal, Product, Engineering, and GRC teams.

How does Tekion ensure continuous improvement of ISO AIMS 42001 controls? 

Tekion ensures continuous improvement through internal/external audits, management reviews, ongoing monitoring of AI performance and risks, stakeholder feedback, and periodic updates to policies and controls.

How does Tekion ensure alignment with Responsible AI principles? 

Tekion ensures alignment with responsible AI principles by integrating fairness, transparency, accountability, and safety into our AI policies, risk assessments, and governance processes, with ongoing monitoring throughout the AI system lifecycle.