Trane Technologies (Trane), and all of its affiliates, operates within Trane’s enterprise governance framework for ethics, risk management, and artificial intelligence. Accordingly, these Responsible AI Principles are designed to provide practical, operational guidance for the development and internal deployment of AI systems.
This document establishes the responsible AI governance principles, and ethical foundations governing the design, development, deployment, and use of artificial intelligence systems by Trane Technologies. It provides a common framework to support consistent, accountable, and risk-aware AI practices.
At all times, the development and deployment of AI Systems must comply with the Trane Technologies Code of Conduct, all relevant Company policies, internal controls, Business Operating System, and guidelines of the Company.
The following general principles articulate how Trane Technologies approaches the responsible design and use of AI systems. They, along with other internal policies, guidelines and processes, are intended to guide decision-making across technical, product, and operational contexts.
Lawfulness and Responsible Use
AI systems are developed and deployed in a manner consistent with applicable legal requirements and responsible business practices, taking into account safety, cybersecurity, intellectual property, and contractual obligations. This includes the appropriate training on responsible use and principles, development and deployment. Certain AI use cases are expressly prohibited — including but not limited to, systems designed to manipulate human behavior through deceptive means, systems that evaluate or classify individuals through social scoring, and any use cases prohibited under applicable law including the EU AI Act. These boundaries are documented in Trane Technologies' internal policies and guidelines and are binding on all employees, contractors, and third-party partners.
Purpose Limitation and Context Awareness
AI systems are developed and deployed solely for defined, legitimate business purposes. Systems are not repurposed for unrelated or unauthorized uses and are evaluated in light of their operational context and intended outcomes as required by applicable internal policies.
Human Oversight and Control
AI systems developed and deployed by Trane Technologies are subject to appropriate human oversight commensurate with their function and risk profile. Oversight is designed not only to provide intervention mechanisms, but to ensure that AI system behavior is understood, questioned, and contextualized by those responsible for its operation. AI systems are not permitted to execute irreversible high-stakes actions autonomously without a defined human approval step.
Transparency and Explainability
Trane Technologies is committed to transparency in its use of AI systems. Individuals interacting with AI-enabled products, services, or processes are informed of AI involvement. Trane Technologies does not misrepresent AI systems as human to those who interact with them. Outputs of AI systems used in customer-facing or rights-affecting contexts are accompanied by appropriate disclosure of their AI-generated nature and applicable limitations.
Safety, Robustness and Reliability
AI systems developed by Trane Technologies are designed to operate reliably within their intended parameters. Reasonable measures are implemented to prevent, detect, and mitigate material errors, performance degradation, and unintended outcomes throughout the AI lifecycle.
Data Privacy, Security and Integrity
AI systems developed and deployed by Trane Technologies handle personal and sensitive data in accordance with applicable data protection laws and internal privacy policies. AI systems developed and deployed by Trane Technologies are assessed and reviewed to determine the appropriate technical and organizational controls designed to safeguard the confidentiality, integrity, and availability of systems and data, and to prevent unauthorized access, misuse, or compromise.
Risk Classification
AI systems developed, deployed or procured by Trane Technologies are subject to governance based on their Risk Classification as defined under applicable laws and internal policies. Trane Technologies will undertake the appropriate impact and risk assessments to reasonably identify, evaluate and document technical, operational, ethical and other risks, and will implement mitigations where appropriate and as required by internal policies and processes.
Ethics, Bias and Harm Considerations
Trane Technologies is committed to identifying and mitigating bias across its AI portfolio on an ongoing basis, not only at the point of initial deployment. For systems that may evaluate, profile, or differentially impact individuals or groups — including any system classified as High Risk under applicable law — bias, ethical, and harm assessments will be conducted and documented prior to development or deployment.
Accountability and Oversight
In alignment with internal policies and processes, ownership and accountability are assigned within Trane Technologies for oversight including, as appropriate, vetting of AI systems, development, deployment approval, ongoing monitoring, incident response, and documentation maintenance.