{"id":59217,"date":"2025-03-26T08:00:21","date_gmt":"2025-03-26T15:00:21","guid":{"rendered":"https:\/\/newrcblog.wpengine.com\/us\/en\/blog\/?p=59217"},"modified":"2025-03-26T08:22:18","modified_gmt":"2025-03-26T15:22:18","slug":"ringcentrals-continued-approach-to-trustworthy-ai","status":"publish","type":"post","link":"\/us\/en\/blog\/ringcentrals-continued-approach-to-trustworthy-ai\/","title":{"rendered":"RingCentral\u2019s continued approach to trustworthy AI"},"content":{"rendered":"

When we introduced our <\/span>AI Transparency white paper<\/span><\/a> last year, we introduced RingCentral’s commitment to building trustworthy artificial intelligence products and services. This year, we\u2019re taking our approach a step further. We\u2019ve enhanced our AI governance by launching additional product specific Transparency documentation in our Trust Center, re affirming our AI principles, and further strengthening our alignment with emerging global regulations. Our ongoing focus on transparency, customer data handling, and ethical AI ensures that we continue to lead with responsibility and innovation. The security, privacy, and transparency of our AI solutions remain at the core of our development processes, and we continue to emphasize our commitment to these values.<\/span><\/p>\n

<\/a>Legal expertise and AI compliance<\/h2>\n

At RingCentral, we understand the rapidly evolving nature of AI technology and the importance of staying ahead of policy, legal, and regulatory developments. Our process begins with a review of product developments with our product and engineering teams, enabling us to map the customer journey and identify potential compliance risks early. These assessments not only focus on aligning with global laws but also empower our customers to adopt AI with confidence, knowing that we proactively identify and mitigate any risks at every stage of their experience. Our internal documented AI impact assessments analyze the underlying algorithms, the input-to-output pathways, and AI decision-making processes. Once technical and functional mapping is complete in our impact assessments, the team provides tailored recommendations or additional evaluation for product teams. These assessments ensure RingCentral aligns with both current and forthcoming regulations, particularly as we expand our AI offerings in regions worldwide.<\/span><\/p>\n

<\/a>Reaffirming core AI principles<\/h2>\n

The foundational principles laid out in last year\u2019s paper remain core to how we build and implement AI at RingCentral. These principles continue to guide our development efforts, and we are adding to them to reflect our ongoing commitment to both ethical AI and industry best practices.<\/span><\/p>\n

Safe: <\/b>At RingCentral we believe AI-enabled systems should not endanger human life, property, privacy, or the environment.\u00a0<\/span><\/p>\n

Secure: <\/b>AI-enabled systems should maintain confidentiality, integrity, and availability through protection mechanisms that prevent unauthorized access and use.\u00a0\u00a0<\/span><\/p>\n

Transparent: <\/b>Information about AI-enabled systems and their outputs should be available to users interacting with the systems.\u00a0\u00a0<\/span><\/p>\n

Explainable and interpretable: <\/b>AI-enabled systems should enable the provision of information that describes how they function.\u00a0<\/span><\/p>\n

Privacy enhanced: <\/b>AI-enabled systems should be developed and used in compliance with privacy laws and RingCentral privacy policies.<\/span><\/p>\n

Fair: <\/b>Development and use of AI-enabled systems at RingCentral should consider equality and equity by addressing issues such as harmful bias and discrimination.<\/span><\/p>\n

In addition to these, RingCentral continuously evaluates its AI-enabled products against regulatory standards, evolving frameworks, and industry trends.This ensures that our AI isn\u2019t just designed responsibly at launch, but also that it continues to be evaluated against regulatory and ethical standards as laws and industry trends evolve.<\/span><\/p>\n

<\/a>Navigating AI regulation globally<\/h2>\n

AI regulation is a critical area of focus for RingCentral as we continue to expand our services globally. As the global landscape is shifting, RingCentral is committed to ensuring that our AI solutions align with domestic and international requirements while fostering an environment of responsible innovation.<\/span><\/p>\n

Customer data<\/h3>\n

At RingCentral we are committed to protecting our customer data. We do not use customer data to train our AI models, nor do we allow third-party vendors to use our customers’ data for training their AI models. We empower account owners to make informed decisions about selecting RingCentral AI services by providing clear notices about the integration of AI features or offering opt out capabilities.\u00a0\u00a0\u00a0\u00a0<\/span><\/p>\n

Supporting our customers<\/h3>\n

We believe that the use of AI is a shared responsibility with our customers. Product service descriptions outline customer responsibilities in connection with the use of our AI services, particularly in regard to complying with applicable laws. For example, customers should ensure their use of AI-driven call recordings complies with applicable privacy laws, such as obtaining proper consent when required.<\/span><\/p>\n

Responsible AI is a shared responsibility between RingCentral and our Customers. While we design AI services based on the core principles for trustworthy AI, customers also play a crucial role in using the products safely and securely. Customers should always ensure human oversight in the use of AI within their organization which includes ensuring outputs are reviewed for accuracy. By working with RingCentral to identify suspicious activity or outputs, customers help us maintain compliance and safeguards our products.\u00a0<\/span><\/p>\n

Our Trust Center<\/h3>\n

To make AI adoption easier for our customers, we will continue to leverage our Trust Center<\/a> for\u00a0 transparency initiatives. Our Trust Center provides our customers with insight into our AI practices, policies and products, with specific documentation on product specific <\/span>datasheets<\/span><\/a>. There you will find detailed information about the AI models, data, and training that powers our AI services.<\/span><\/p>\n

<\/a>Conclusion<\/h2>\n

RingCentral remains committed to building AI technologies that are safe, secure, transparent, and fair. We prioritize customer trust through thorough governance processes, comprehensive legal assessments, and the responsible handling of data. We look forward to continuing this journey with our customers, ensuring that our AI products not only meet their needs but also uphold standards of ethics, security, and privacy compliance. We invite you to explore our Trust Center to learn more about our AI systems, or reach out to your RingCentral representative to discuss how we can support your compliance and AI adoption needs.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

When we introduced our AI Transparency white paper last year, we introduced RingCentral’s commitment to building trustworthy artificial intelligence products and services. This year, we\u2019re taking our approach a step further. We\u2019ve enhanced our AI governance by launching additional product specific Transparency documentation in our Trust Center, re affirming our AI principles, and further strengthening …<\/p>\n","protected":false},"author":1246,"featured_media":59218,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[43331],"tags":[],"class_list":["post-59217","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-innovation"],"acf":[],"yoast_head":"\nRingCentral\u2019s continued approach to trustworthy AI<\/title>\n<meta name=\"description\" content=\"When we introduced our AI Transparency white paper last year, we introduced RingCentral's commitment to building trustworthy artificial intelligence\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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