Record STMT-M127Voluntary

Trusted AI: Key Principles

Principles Corporate governancein force

Salesforce's Trusted AI principles outline five core commitments—responsible, accountable, transparent, empowering, and inclusive—to guide the safe and ethical development of artificial intelligence. Established in 2018 through company-wide collaboration, these principles are operationalized through practices such as human rights reviews, model cards, and the Salesforce Trust Layer architecture.

Summary and content fields are drawn from the document text and are pending editorial review.

Who issued it

Salesforce, Inc.Industry

Lead issuer

Legal forceVoluntary

Under whose authorityCorporate governance

Judged fromfull text

Who it governs

CompaniesGeneral publicAI developers and providersAI deployers and users

Customers, developers, and partners looking to understand Salesforce's approach to ethical, safe, and secure artificial intelligence.

Sectors

Telecommunications and digital services · enterprise software and cloud computing

What the document contains

What's covered

The document covers Salesforce's five core principles for trusted artificial intelligence, practical implementations of those principles, and technical features of the Salesforce Trust Layer such as dynamic grounding, zero data retention, data masking, and toxicity detection.

What's missing

The document does not provide binding legal definitions, statutory enforcement mechanisms, or external regulatory penalties for non-compliance.

Key takeaways

Salesforce's AI development is guided by five core principles: Responsible, Accountable, Transparent, Empowering, and Inclusive.
The Salesforce Trust Layer acts as a technical architecture providing safeguards like zero data retention and data masking.
Model cards and model explainability are used to provide transparency into how AI models are created and why predictions are made.
The company engages with external human rights and technology ethics experts through advisory councils and workshops.

Principles it states

Responsible: Strive to safeguard human rights, protect trusted data, observe scientific standards, and enforce policies against abuse.Accountable: Hold ourselves accountable to customers, partners, and society by seeking independent feedback and mitigating harm.Transparent: Ensure customers understand the 'why' behind AI-driven recommendations and predictions.Empowering: Utilize AI to augment human ability, enabling people to make better decisions and increase productivity.Inclusive: Advance diversity, promote equality, and foster equity through AI to represent the values of all impacted individuals.

Outline

· Five Core Principles of Salesforce Trusted AI
· Salesforce Trusted AI Principles in Practice
· How the Salesforce Trust Layer Works
· FAQs

Issued2018

Length2,198 words

FormatNot recorded

Scopeglobal

How it scores

Pending review

Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.

Accountability

4/5

Clear responsibility for AI outcomes

We believe in holding ourselves accountable to our customers, partners, and society. We will seek independent feedback for continuous improvement

Five Core Principles of Salesforce Trusted AI

screening score · 2026-10-23

Fairness

4/5

Non-discrimination and equitable treatment

We will advance diversity, promote equality, and foster equity through AI.

Five Core Principles of Salesforce Trusted AI

screening score · 2026-10-23

Human Dignity

3/5

Respect for the inherent worth of persons

Inclusive AI should improve the human condition and represent the values of all those impacted, not just the creators.

Five Core Principles of Salesforce Trusted AI

screening score · 2026-10-23

Human Oversight

4/5

Humans remain in control of consequential decisions

We enable customers to remain in control of their data and models at all times.

Transparent

screening score · 2026-10-23

Privacy

4/5

Protection of personal data and private life

Crucially, the Trust Layer implements zero data retention and data masking to ensure the utmost security and privacy for customer data.

Zero Data Retention and Data Masking

screening score · 2026-10-23

Transparency

4/5

Openness about how AI systems work and are used

We publish model cards that describe how models were created, intended and unintended use cases, known ethical or societal implications, and performance scores.

Transparent

screening score · 2026-10-23

Enforcement

4/5

Consequences and compliance mechanisms with real force

We expect our customers to use our AI responsibly, and in compliance with their agreements with us, including our Acceptable Use Policy.

Five Core Principles of Salesforce Trusted AI

screening score · 2026-10-23

Impact Assessment

4/5

Required assessment of an AI system's risks/impacts before or during use

We begin by asking not only can we do something but also should we do it, before building any AI features.

Salesforce Trusted AI Principles in Practice

screening score · 2026-10-23

Topics

artificial_intelligence corporate_governance ethics transparency data_privacy