Today, Salesforce is expanding its AI model cards with standardized environmental impact metrics. This update helps customers better understand the energy consumption and carbon emissions associated with AI models across their lifecycle. Since the era of predictive AI, Salesforce has published model cards to give customers a trusted reference for how each model works, documenting its intended use cases, evaluation results, and guardrails. By adding sustainability data, Salesforce reinforces its commitment to its trusted AI principles and ISO 42001-certified governance standards.
The Environmental Challenge of AI
AI systems rely on significant physical infrastructure, including data centers that consume energy and contribute to carbon emissions. As AI adoption accelerates, training and operating models can require substantial computational resources, intensifying the focus on AI’s environmental footprint.
“As AI adoption accelerates, transparency can’t stop at model performance alone,” said Orlando Lugo, Senior Product Manager, Responsible AI. “Organizations increasingly want visibility into how AI systems are built and operated, including their environmental impact. By integrating these metrics into model cards, we’re helping make sustainability a more measurable part of trusted AI.”
