“Johnson Controls is guided by ethics and integrity, as articulated in our shared company values. As we incorporate increasingly more artificial intelligence into our work, our AI Council has aligned these values with our seven AI Ethics Principles.
Two are uniquely informed by the fabric of Johnson Controls: Empower humans in Buildings and Sustainability. As we make the world smarter, healthier and more sustainable, we will strive for human centricity that helps people in buildings – including our employees – be more efficient and effective, and that helps Johnson Controls and our customers address the global climate crisis.”
George Oliver | Chairman & CEO
Our transparent AI development processes will prioritize fairness. We’ll endeavor to use training datasets that reflect the diversity of society to eliminate algorithmic bias that places unprivileged and underrepresented groups at systematic disadvantage. We’ll judge fairness based on the same standards as decision-making processes by humans and work to detect and eliminate fairness-related harm within our AI.
Privacy should be built into systems and processes from the outset. We’ll develop and use AI with appropriate privacy functionality and controls. We’ll endeavor to build privacy-respecting human values into non-human systems and to apply design functionality so that personal information is used only as required for the function of the system. Where appropriate, we’ll also anonymize or de-identify personal information before a machine-learning model uses the information.
Our Enterprise AI Council is responsible for ensuring our businesses comply with these principles. We’ll regularly audit our compliance with our AI standards. We’ll design our products to ensure that humans maintain appropriate control or monitoring over autonomous systems. The level of human-control for a use case will depend on (i) the degree of autonomy of the AI and (ii) the criticality of the AI deployment. We’ll offer tools and resources to help our partners and customers also be accountable for their deployment and use of our AI.
We believe that transparency increases trust and confidence in our AI systems. When appropriate, we’ll provide users with information and training related to the enterprise use of an AI system, the intended purpose of such AI system, and the types of data used by the AI system.
For AI models whose outcomes may materially affect the rights or safety of persons, we’ll generate AI model cards that provide developers, users and other stakeholders of our AI systems information about the development and deployment of various AI models.
The model cards will give a useful, non-technical explanation of the behavior of our AI systems and their components. Stakeholders can then comprehend how and why they function and can identify and mitigate potential safety, privacy, bias or other issues.
We’ll lead the development of AI to help make buildings more sustainable. Many of our hardware offerings (from energy-efficient chillers) to advanced software (e.g., OpenBlue Central Utility Plant) are already helping some of the largest and most complex buildings in the world be more sustainable.
While evaluating AI vendors and partners, we’ll also consider their respect for the environment and for sustainability concerns.