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AI Glossary

AI Ethics

The principles and guidelines governing the responsible development and use of AI systems.

TL;DR

  • —The principles and guidelines governing the responsible development and use of AI systems.
  • —Understanding AI Ethics is critical for effective AI for companies.
  • —Remova helps companies implement this technology safely.

In Depth

AI ethics addresses questions of fairness, transparency, accountability, and harm prevention in AI systems. For enterprises, ethical AI use means ensuring AI doesn't discriminate, respecting user privacy, being transparent about AI usage, and maintaining human oversight over important decisions.

Related Terms

Responsible AI

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

AI Governance

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

AI Bias

Systematic errors in AI outputs that result from biased training data or flawed model design.

Explainability (XAI)

The ability to understand and explain how an AI model arrives at its outputs or decisions.

Knowledge Hub

Glossary FAQs

AI Ethics is a fundamental concept in the AI for companies landscape because it directly impacts how organizations manage the principles and guidelines governing the responsible development and use of ai systems.. Understanding this is crucial for maintaining AI security and compliance.
Remova's platform is built to natively manage and optimize AI Ethics 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 Responsible AI and AI Governance.

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