When machines dream: Overcoming the challenges of AI hallucinations 

According to a KPMG survey, 61% of people are wary of trusting AI systems. This skepticism stems from phenomena like AI hallucinations, where AI models produce inaccurate or completely fabricated information.

Why this topic matters: AI hallucinations can have serious consequences, from providing misleading legal advice to causing disastrous financial losses. Given the widespread adoption of generative AI (GenAI), it’s critical that businesses address AI hallucinations to make sure AI tools produce accurate and reliable outputs. 

The benefits of preventing AI hallucinations: Companies that implement guardrails to reduce AI hallucinations can help protect their businesses from costly errors, build customer trust, and improve the overall performance of AI systems. 

In this white paper, you’ll discover that:

  • Data quality is key: AI models are only as good as the data they are trained on.
  • Guardrails are essential: Monitoring agents and retrieval-augmented generation can help prevent hallucinations. 
  • GenAI must be used strategically: To minimize risk, organizations must carefully assess where and how they deploy GenAI. 
  • Explainable AI builds trust: Being transparent about AI decision-making improves user confidence and softens the impact of hallucinations.  

  

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