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Responsible AI & Governance

Protect your data and ensure safe outputs with responsible AI and governance

BRAND & REPUTATION

Prevent misuse; ensure safe outputs

Mitigate bias and toxicity with alerts to flag inappropriate requests and responses
Ensure models adhere to brand guidelines by enforcing guardrails
Detect blocked or excluded keywords and competitor references
Detect and categorize potentially harmful content in text and image input to a model

GROUNDEDNESS

Reduce hallucinations

Detect if LLM responses are grounded in source materials provided by users
Detect likelihood that an LLM response is a hallucination

AI DATA GOVERNANCE

Maintain complete visibility

Gain visibility over model use with centralized inventory and full lifecycle management
Maintain detailed audit logs for complete visibility of requests and responses

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Check out more resources

News

EU AI Act Gains Early Enterprise Adoption and Support

October 24, 2024

The European Commission secures early enterprise buy-in for the AI Act. This article highlights the act’s compliance requirements and its potential impact on businesses and AI development across industries

Video

Highlights from OpenAI DevDay 2024: Key Announcements

October 24, 2024

Explore the latest innovations and announcements from OpenAI DevDay 2024. This video covers new tools, product updates, and insights into the future of AI development shared during the event.

Watch Now