Microsoft and Google offer new Child Safety Commitments for AI

Developing AI models to protect kids from AI models

3 min. read

Published onApril 23, 2024

published onApril 23, 2024

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Two of the biggest brands offering generative artificial intelligence services have come together to address the harm their AI platform can pose to child safety.

In a post from theMicrosoft on the Issues blog, the company announced itspartnership with Thorn, a non-profit organization committed to protecting children from sexual abuse,and All Tech Is Humanwhich aims to tackle risks generative AI poses to children.

As part of a new security pact dubbedSafety by Design, Microsoft has committed to the following three tenants to help transparently address its process towards protecting children from harm by its own AI services.

Across the business divide, Google also penned an update toits Safety and Security blogthat echoes Microsoft’s committed partnership with Thron and All Tech Is Human.

Google’s voluntary commitment to address AI-generated child sexual abuse material (CSAM) with Thorn and All Tech Is Human includes:

Google is building on its decades of work with other liked-minded NGO’s, industry peers, and law enforcement to combat CSAM by allowing greater access to its dedicated APIs from its free-to-license Child Safety Toolkit. Third party partner organizations can utilize Google’s CST APIs to monitor and report child abuse and exploitation (CSAE) that could occur because of its generative AI services.

Microsoft is also looking to engage with policymakers to cement future standards for addressing CSAM in lieu of expanding AI capabilities that are producing undreamt of outcomes.

We will also continue to engage with policymakers on the legal and policy conditions to help support safety and innovation. This includes building a shared understanding of the AI tech stack and the application of existing laws, as well as on ways to modernize law to ensure companies have the appropriate legal frameworks to support red-teaming efforts and the development of tools to help detect potential CSAM.

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