Stanford study finds AI-based search can fail to back up its answers – Axios
New evidence suggests that generative AI may not be very good at one of the first jobs the industry has given it — answering search queries.
Driving the news: Four publicly available search engines that use AI-generated chat to respond to users’ questions build a “facade of trustworthiness” without adequately documenting their answers, a new paper from Stanford University researchers concludes.
Why it matters: For now, AI chatbots are likely to be a better choice for casual inquiry than for serious research, critical info or resolving thorny questions of truth.
What they did: Nelson F. Liu, Tianyi Zhang and Percy Liang manually audited Bing Chat, Neeva AI, perplexity.ai, and YouChat between late February and late March.
- The researchers set out to test the “verifiability” of each search engine, seeing this as a key to trustworthiness.
- They posed questions ranging from “What is the most nominated film for the Oscars?” to “What changes were made when Trinidad and Tobago gained…
The post Stanford study finds AI-based search can fail to back up its answers – Axios first appeared on SEO, Marketing and Social News | OneSEOCompany.com.
source: https://news.oneseocompany.com/2023/05/03/stanford-study-finds-ai-based-search-can-fail-to-back-up-its-answers-axios_2023050344389.html
Your content is great. However, if any of the content contained herein violates any rights of yours, including those of copyright, please contact us immediately by e-mail at media[@]kissrpr.com.