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AI Glossary

AI Risk

Potential negative outcomes from AI system deployment, including data leaks, bias, hallucinations, and security vulnerabilities.

TL;DR

  • —Potential negative outcomes from AI system deployment, including data leaks, bias, hallucinations, and security vulnerabilities.
  • —Understanding AI Risk is critical for effective AI for companies.
  • —Remova helps companies implement this technology safely.

In Depth

AI risks span multiple categories: security risks (data leaks, prompt injection), operational risks (hallucinations, model failures), compliance risks (regulatory violations), reputational risks (biased or inappropriate outputs), and financial risks (uncontrolled costs). Effective AI risk management requires proactive controls rather than reactive responses.

Related Terms

AI Governance

The framework of policies, processes, and controls that guide responsible AI development and usage within organizations.

AI Guardrails

Safety mechanisms that constrain AI system behavior to prevent harmful, biased, or off-policy outputs.

Responsible AI

An approach to AI development and deployment that prioritizes safety, fairness, transparency, and accountability.

AI Audit

A systematic examination of AI system operations, decisions, and impacts for compliance and quality assurance.

Knowledge Hub

Glossary FAQs

AI Risk is a fundamental concept in the AI for companies landscape because it directly impacts how organizations manage potential negative outcomes from ai system deployment, including data leaks, bias, hallucinations, and security vulnerabilities.. Understanding this is crucial for maintaining AI security and compliance.
Remova's platform is built to natively manage and optimize AI Risk through our integrated governance layer, ensuring that your organization benefits from this technology while mitigating its inherent risks.
You can explore our full AI for companies glossary, which includes detailed definitions for related concepts like AI Governance and AI Guardrails.

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