Our Policy on Frontier Safety (Inflection)

This is an internal corporate policy document outlining Inflection's voluntary commitments and safety practices for frontier AI development. It uses primarily voluntary language ('believes', 'intends', 'supports') and describes self-imposed standards without external enforcement mechanisms.

The document has good coverage of approximately 12-14 subdomains, with strong focus on AI system security (2.2), malicious actors (4.1, 4.2, 4.3), AI safety failures (7.1, 7.2, 7.3), governance (6.5), competitive dynamics (6.4), and misinformation (3.1). Coverage is concentrated in security, misuse prevention, AI safety, and governance domains.

This is an internal corporate policy document from Inflection, an AI development company. The primary sector governed is Information (specifically AI development and data processing services) and Scientific Research and Development Services, as these are the sectors in which Inflection operates. The document also addresses child safety concerns, touching on aspects relevant to Educational Services and Health Care sectors through discussion of mental health applications.

The document comprehensively covers all stages of the AI lifecycle with particular emphasis on pre-deployment evaluation (Plan and Design, Verify and Validate), deployment processes, and post-deployment monitoring (Operate and Monitor). It addresses data collection practices, model building, testing, deployment, and ongoing monitoring with detailed governance measures at each stage.

The document explicitly focuses on frontier AI models and systems, with repeated references to 'frontier AI' throughout. It does not explicitly define or distinguish between general purpose AI, task-specific AI, or foundation models, though the context suggests focus on large-scale language models. No specific compute thresholds are mentioned, and there is no explicit discussion of open-weight models.