Originally published September 29, 2020
Last updated: May 26, 2023
At Salesforce, we take seriously our mission to create and deliver AI technology that is responsible, accountable, transparent, empowering, and inclusive. These principles ensure that our AI is safe, ethical, and engenders trust. We commit ourselves to:
One key element of our commitment to Transparency is the production of model cards. Based on pioneering work done by Google, model cards seek to standardize documentation procedures to communicate the performance characteristics of trained machine learning (ML) and artificial intelligence (AI) models. Think of them as a sort of nutrition label, designed to provide critical information about how our models work -- including inputs, outputs, the conditions under which models work best, and ethical considerations in their use.
Providing this level of transparency is intended to help developers, customers, journalists and industry analysts, policy makers, advocacy groups, and consumers better understand the impact of our AI on individuals, communities and society.
The following model cards are currently available for reference:
Optical Character Recognition (OCR)
Salesforce AI Research
Detector for CTRL
AI Economist: Foundation (Simulation Framework)
COVID-19 US Pandemic and Economic Simulation
Marketing Cloud Einstein
Send Time Optimization
Send Time Optimization for Mobile
Engagement Scoring for Email
Engagement Scoring for Mobile
Copy Insights Subject Line Tester
Data Cloud Auto Mapping
Content Selection and Content Testing
Email Recommendations and Web Recommendations
Sales Cloud Einstein
Conversational Insights Model
We now provide a model card generator in Einstein Discovery, which enables our customers to generate their own model cards, as well.
Finally, currently in development are cards for:
We look forward to sharing these with you and welcome your feedback, reactions and questions.