Why Googles Ai Overviews Gets Things Wrong
Google's new AI search feature is a mess. So why is it telling us to eat rocks and gluey pizza, and can it be fixed?
MIT Technology Review Artificial Intelligence 12:24 am on June 3, 2024
The passage discusses Google's AI Overviews system and its challenges in providing accurate information due to conflicts between sources or the generation of misinformation from specific factually correct but interpreted incorrectly. It highlights limitations like AIs tendency for hallucinations when generating text, emphasizes improvements through techniques such as reinforcement learning and instructional feedback, while also mentioning Google's steps in addressing these issues by refining trigger restrictions and clarifying the beta status of certain features.
- AI Misinformation Challenges: Conflicting source information leads to unreliable AI Overviews.
- Misinterpretation of Sources: AIs can generate incorrect answers based on factually accurate but misinterpreted content.
- Improvement Techniques: Reinforcement learning and careful document assessment are proposed to enhance reliability.
- Google's Actions: Adjusting trigger restrictions for sensitive queries, emphasizing the beta nature of certain features.
- Content Focus: Addressing the complexities and limitations of large language models in generating accurate content.
https://www.technologyreview.com/2024/05/31/1093019/why-are-googles-ai-overviews-results-so-bad/