Responsible AI
Responsible AI at GE HealthCare
Our Approach
At GE HealthCare, we are committed to empower healthcare innovation with integrity, transparency and trust, by responsibly deploying and developing AI that keeps humans at the center, enabling more informed decisions, streamlined workflows and personalized care.
Our principles
Responsible AI principles that guide every stage of the lifecycle
Accountable and transparent
We hold ourselves accountable through strong governance, oversight, and responsible decision-making. We encourage transparency by clearly communicating how AI systems are designed, intended to be used, and governed across their lifecycle, including sharing appropriate information about their capabilities, limitations, and intended use.
Fair
We aim to develop and use AI systems in ways that promote fairness, reduce bias, and support equitable outcomes. We strive to increase access to care and ensure AI technologies are designed to serve diverse users and patient populations responsibly.
Explainable and interpretable
We promote explainability and interpretability so users can understand how AI systems generate outputs and recommendations. We seek to provide meaningful insights into system behavior to support trust, informed decision-making, and appropriate human oversight.
Valid and reliable
We aim to employ AI systems that consistently produce accurate, dependable, and high-quality outputs when subject to expected conditions of use. We validate system performance through appropriate testing, evaluation, and verification activities to support reliable performance across intended use cases.
Secure and resilient
We leverage our capabilities to develop and deploy AI systems that are secure, robust, and resilient against unexpected adverse events, misuse, or cyber threats. We work to ensure continuity, reliability, and protection of systems and data throughout the AI lifecycle.
Private
We strive to implement AI systems in ways that safeguard human autonomy, identity, dignity, and privacy. We are committed to protecting personal and sensitive information through responsible data practices, security controls, and privacy-by-design principles.
Safe
We seek to protect against harm to human life, health, property, and the environment associated with unintended applications, failures, or unauthorized access to AI systems. Safety considerations are integrated throughout the lifecycle of AI technologies.
Leadership perspective
AI in healthcare workflows
Dr. Taha Kass-Hout’s perspective helps frame responsible AI in practical terms. In healthcare, the goal is not novelty for its own sake. It is technology that clinicians and care teams can trust to perform consistently, integrate into workflows, and support better decisions.
Certifications
You can trust GE HealthCare to protect your data
We standardized the scope of our Global Information Security Management System (ISMS) to include all service activities, infrastructure, and assets capable of accessing your data. Our ISMS is globally certified according to ISO 27001, 27017, 27018, and 27701 standards.
Certificates
- ISO 27001: Certificate | Annex
- ISO 27017: Certificate | Annex
- ISO 27018: Certificate
- ISO 27701: Certificate | Annex
AI Fluency
Building confidence in AI through education
HelloAI is a GE HealthCare-led educational initiative, co-created with trusted collaborators, that helps people build a clear, practical understanding of artificial intelligence. Framed here as a supporting next step, it reinforces the idea that responsible AI depends not only on how systems are built, but also on how they are understood and used.