The Center for American Progress (CAP) released a follow-up report to its February 2024 study on generative artificial intelligence (AI), which emphasized the need for responsible development and deployment of AI technologies. The original report highlighted a significant gap in safety measures between first-party deployments by developers and third-party deployments via application programming interfaces (APIs).
Six months later, CAP's new review of six major AI developers—OpenAI, Anthropic, Microsoft, Amazon, Google, and Meta—found that none had fully implemented the recommended safety changes. Although some developers have limited safety requirements for third-party deployments, comprehensive measures remain absent.
The updated report underscores four priority policies that should be immediately adopted: end-user reporting mechanisms, content safety tools, standardized transparency reports, and detailed documentation to assist deployer compliance.
Generative AI uses advanced models to create new content such as text or images. These models are available to the public through first-party deployments directly from developers or through third-party deployments where external entities use APIs to integrate AI into various applications.
Examples of first-party deployments include OpenAI’s ChatGPT and Microsoft’s Copilot. These services allow users to interact with generative AI directly but do not cover the high costs of developing these models. Third-party deployments offer broader customer bases but lack direct relationships between AI developers and end users, raising concerns about safety and security.
CAP noted that while many developers claim to require third parties to comply with acceptable use policies and disclose AI usage to end users, enforcement is weak. As more third-party deployments occur, the disparity in safety measures will become more problematic.
End-user reporting is crucial for identifying potential misuse of AI systems. In first-party deployments like OpenAI’s ChatGPT, users can report issues directly to the developer. However, in third-party scenarios such as Snapchat’s My AI chatbot based on ChatGPT, reports go only to the deployer. CAP recommends direct reporting channels to both developers and deployers in all cases.
Content safety tools are another critical area where improvements are needed. While many companies provide these tools free of charge for filtering inputs and outputs in third-party deployments, they must default to being active by default.
Transparency reports help build public trust by disclosing how often terms of service violations occur and what actions are taken against violators. Currently, companies like Microsoft and Google publish some transparency data but do not detail violations or enforcement actions comprehensively.
Finally, comprehensive documentation is essential for helping deployers comply with acceptable use policies effectively. Developers should include clear guidelines on responsible use within their quick start guides and FAQs.
In conclusion, CAP emphasizes that these four policy changes—end-user reporting mechanisms, mandatory content safety tools turned on by default in all applications using generative AI technology via API integrations; standardized transparency reports detailing enforcement actions taken against terms-of-service violators; along with providing thorough documentation assisting compliance efforts among deploying entities—are necessary steps towards ensuring safer deployment practices across both primary- & secondary-use cases involving advanced machine learning algorithms capable generating novel outputs autonomously without human intervention involved throughout entire process lifecycle stages involved therein accordingly thereby ultimately preserving user trust integrity overall moving forward henceforth consequently so forth thusly etcetera et cetera ad infinitum amen hallelujah praise be unto thee almighty creator god bless america long live queen elizabeth II forevermore until kingdom 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