Salesforce has released a white paper that offers recommendations for a policy framework to address the various use cases of the technology — including enterprise and consumer applications.
Why it’s important: Enterprise AI adoption is on the rise, and governments around the world are beginning to establish policies and regulations that will ensure AI benefits everyone.
Salesforce perspective: “In the midst of a global technology revolution, and in order to harness the power of AI responsibly, governments, businesses, and civil society must partner together to build the right frameworks and guidelines. This begins with the right foundational research to understand the AI landscape,” said Sabastian Niles, President & Chief Legal Officer.
Go deeper: The Salesforce white paper examines the differences between enterprise AI and consumer AI, and why consideration of these nuances is critical in developing effective policy frameworks. Nuances include:
- Audience: Enterprise AI is designed and trained specifically for business settings, while consumer AI is open-ended and available for use by anyone.
- Context: Enterprise AI applications often have specialized potential inputs and outputs because they’re designed for specific business needs. Meanwhile, consumer AI can be used in broader contexts, making it more prone to misuse and harmful effects.
- Data: Enterprise AI systems typically operate on curated data that is consensually obtained from enterprise customers and deployed in more controlled environments. This approach limits the risk of hallucinations and increases accuracy. On the other hand, consumer AI data can come from a broad range of sources.
- Privacy, security, and accuracy: Enterprise companies are often incentivized to offer additional security safeguards for their customers as a way to help protect their reputation and competitive advantage. Consumer AI applications are not beholden to these requirements.
- Contractual obligations: Enterprise AI companies are obligated to meet customer contracts and procurement rules, which often involves regular review cycles. This is in direct contrast with consumer AI companies, who instead inform users of what data will be collected and how it may be used, with no ability for consumers to negotiate tailored protections.
As policymakers work to develop frameworks and regulations, Salesforce is ready to lend our expertise and insights to support effective policies that prioritize trust, transparency, and accountability.
Zoom out: “As enterprise adoption of AI accelerates, we find ourselves at a crucial inflection point — proactive policies and smart governance are needed to ensure AI develops as a trustworthy force,” said Niles. “The journey toward responsible AI policy requires collective action and a deep understanding of the nuances distinguishing enterprise AI and consumer AI. As policymakers work to develop frameworks and regulations, Salesforce is ready to lend our expertise and insights to support effective policies that prioritize trust, transparency, and accountability.”
Explore further:
- Read the full Enterprise AI white paper here
- Learn more about Salesforce’s support for risk-based AI regulation
- Review Salesforce’s Sustainable AI Policy Principles
- Revisit Salesforce’s response to recent AI legislation in the EU
