#AiSafety Page 4 of 4

Explore AIstify's latest reporting, research, and expert analysis tagged with "ai safety", collected in one continuously updated archive.

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Adversarial Attack
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Adversarial Attack

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An adversarial attack uses carefully crafted input to mislead an AI model, bypass safeguards, expose data, or trigger an incorrect prediction.

Hallucination
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Hallucination

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When an AI model produces confident but incorrect or fabricated information. Hallucinations highlight the need for better data validation, model tuning, and safeguards to maintain trust and reliability.

Guardrails
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Guardrails

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Safety mechanisms and ethical constraints that guide AI systems to operate responsibly. They prevent harmful or biased outputs and ensure transparency, accountability, and alignment with human values.

Emergent Behavior
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Emergent Behavior

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Unexpected or unprogrammed actions that arise as AI systems grow more complex. These behaviors can lead to surprising creativity or unpredictable outcomes, highlighting the importance of AI safety and alignment.