Factuality in Generative AI

Why Factuality Matters

Generative AI models can produce fluent and convincing outputs. However, these outputs must be verified for factual correctness to avoid spreading misinformation or making harmful recommendations.

Risks of Low Factuality

• Misinforming users in healthcare or finance
• Undermining public trust in AI systems
• Potential legal or regulatory consequences

Viswanext’s Approach

We prioritize grounding AI responses in verifiable data sources and implement factuality testing benchmarks and human validation loops before deployment.

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