Source: LiveScience

LiveScience explores the increasing frequency of “hallucinations” — false or fabricated outputs — in advanced AI systems. The article explains the technical reasons behind these errors and the significant legal and ethical implications they raise, such as misinformation and liability.

It highlights the difficulty in completely eliminating hallucinations due to AI model complexity, but discusses ongoing research aimed at improving reliability and accuracy.

The piece debates whether society should strive to fully eradicate hallucinations or accept a certain level of error, considering trade-offs between AI capabilities and safety.

Legal and policy frameworks are presented as crucial to managing risks associated with AI-generated false information, including transparency and accountability requirements.