The Commitments
In pursuit of these goals, the signatories commit to the following steps through 2024:
- Developing and implementing technology to mitigate risks related to deceptive AI election content by:
- Supporting the development of technological innovations to mitigate risks arising from deceptive AI election content by identifying realistic AI-generated images and/or certifying the authenticity of content and its origin, with the understanding that all such solutions have limitations. This work could include but is not limited to developing classifiers or robust provenance methods like watermarking or signed metadata (e.g. the standard developed by C2PA or SynthID watermarking).
- Continuing to invest in advancing new provenance technology innovations for audio video, and images.
- Working toward attaching machine-readable information, as appropriate, to realistic AI-generated audio, video, and image content that is generated by users with models in scope of this accord.
- Assessing models in scope of this accord to understand the risks they may present regarding deceptive AI election content so we may better understand vectors for abuse in furtherance of improving our controls against this abuse.
- Seeking to detect the distribution of deceptive AI election content hosted on our online distribution platforms where such content is intended for public distribution and could be mistaken as real. This might include using detection technology, ingesting open standards-based identifiers created by AI-producing companies or using content moderation services, enabling creators to disclose their use of AI when they upload content, and/or providing pathways for the public to report suspected Deceptive AI Election Content.
- Seeking to appropriately address deceptive AI election content we detect that is hosted on our online distribution platforms and intended for public distribution, in a manner consistent with principles of free expression and safety. This may include — but is not limited to — adopting and publishing policies and working to provide contextual information on realistic AI-generated audio, video, or image content where we can detect it so it is clear it has been AI-generated or manipulated. In considering actions, operators of online platform services will pay attention to context and in particular to safeguarding educational, documentary, artistic, satirical, and political expression.
- Fostering cross-industry resilience to deceptive AI election content by sharing best practices and exploring pathways to share best-in-class tools and/or technical signals about deceptive AI election content in response to incidents.
- Providing transparency to the public regarding how we address deceptive AI election content— for instance, by publishing the policies that explain how we will address such content, providing updates on provenance research, or informing the public about other actions taken in line with these commitments.
- Continue to engage with a diverse set of global civil society organizations, academics, and other relevant subject matter experts through established channels or events, in order to inform the companies’ understanding of the global risk landscape as part of the independent development of their technologies, tools, and initiatives described in this accord.
- Supporting efforts to foster public awareness and all-of-society resilience regarding deceptive AI election content — for instance by means of education campaigns regarding the risks created for the public and ways citizens can learn about these risks to better protect themselves from being manipulated or deceived by this content; via tools, interfaces, or procedures that can provide users useful context about the content they see online; by developing and releasing open source tools to support others who try to mitigate these risks; or by otherwise supporting the work of organizations and communities engaged in responding to these risks.
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