{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:48:18Z","timestamp":1750308498930,"version":"3.41.0"},"reference-count":0,"publisher":"Association for Computing Machinery (ACM)","issue":"1","license":[{"start":{"date-parts":[[2025,2,28]],"date-time":"2025-02-28T00:00:00Z","timestamp":1740700800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["Queue"],"published-print":{"date-parts":[[2025,2,28]]},"abstract":"<jats:p>Evaluating AI models that surpass human expertise in the task at hand presents unique challenges. These challenges only grow as AI becomes more intelligent. However, the three effective strategies presented in this article exist to address these hurdles. The strategies are: Functional correctness: evaluating AI by how well it accomplishes its intended tasks; AI-as-a-judge: using AI instead of human experts to evaluate AI outputs; and Comparative evaluation: evaluating AI systems in relationship with each other instead of independently.<\/jats:p>","DOI":"10.1145\/3722043","type":"journal-article","created":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T23:41:51Z","timestamp":1743550911000},"page":"39-63","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["How to Evaluate AI that's Smarter than Us"],"prefix":"10.1145","volume":"23","author":[{"given":"Chip","family":"Huyen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,4]]},"container-title":["Queue"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3722043","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3722043","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T18:43:50Z","timestamp":1750272230000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3722043"}},"subtitle":["Exploring three strategies: functional correctness, AI-as-a-judge, and comparative evaluation"],"short-title":[],"issued":{"date-parts":[[2025,2,28]]},"references-count":0,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2025,2,28]]}},"alternative-id":["10.1145\/3722043"],"URL":"https:\/\/doi.org\/10.1145\/3722043","relation":{},"ISSN":["1542-7730","1542-7749"],"issn-type":[{"type":"print","value":"1542-7730"},{"type":"electronic","value":"1542-7749"}],"subject":[],"published":{"date-parts":[[2025,2,28]]},"assertion":[{"value":"2025-04-01","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}