{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,16]],"date-time":"2026-03-16T20:29:18Z","timestamp":1773692958691,"version":"3.50.1"},"reference-count":22,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computer"],"published-print":{"date-parts":[[2024,9]]},"DOI":"10.1109\/mc.2024.3401085","type":"journal-article","created":{"date-parts":[[2024,8,30]],"date-time":"2024-08-30T17:33:50Z","timestamp":1725039230000},"page":"35-44","source":"Crossref","is-referenced-by-count":2,"title":["Certifying Generative AI: Retrieval-Augmented Generation Chatbots in High-Stakes Environments"],"prefix":"10.1109","volume":"57","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-7864-9270","authenticated-orcid":false,"given":"Richard","family":"Shan","sequence":"first","affiliation":[{"name":"Charlotte, NC, USA"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Emergent abilities of large language models","author":"Wei","year":"2022"},{"key":"ref2","article-title":"Explanations from large language models make small reasoners better","author":"Li","year":"2022"},{"key":"ref3","volume-title":"Large language model market trends","year":"2024"},{"key":"ref4","article-title":"Factuality challenges in the era of large language models","author":"Augenstein","year":"2023"},{"key":"ref5","article-title":"TinyGSM: Achieving >80 on GSM8k with small language models","author":"Liu","year":"2023"},{"key":"ref6","first-page":"9459","article-title":"Retrieval-augmented generation for knowledge-intensive NLP tasks","volume-title":"Proc. 33rd Conf. Neural Inf. Process. Syst.","author":"Lewis","year":"2020"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.4614223"},{"key":"ref8","volume-title":"AI risk management framework","year":"2024"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.4579899"},{"key":"ref10","volume-title":"The responsible AI certification","year":"2024"},{"key":"ref11","article-title":"Framework for certification of AI-based systems","author":"Gariel","year":"2023"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3593013.3594067"},{"key":"ref13","article-title":"C-RAG: Certified generation risks for retrieval-augmented language models","author":"Kang","year":"2024"},{"key":"ref14","article-title":"Large language models for software engineering: A systematic literature review","author":"Hou","year":"2023"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3390\/fi15080260"},{"key":"ref16","volume-title":"The Assessment List for Trustworthy Artificial Intelligence (ALTAI)","author":"Ala-Pietil","year":"2020"},{"key":"ref17","volume-title":"AI checklist: Self-assessment tool: Document","year":"2024"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.metrad.2023.100017"},{"key":"ref19","article-title":"Why we do need explainable AI for healthcare","author":"Cin","year":"2022"},{"key":"ref20","article-title":"Taking the next step with generative artificial intelligence: The transformative role of multimodal large language models in science education","author":"Bewersdorff","year":"2024"},{"key":"ref21","volume-title":"GenAI Forum","year":"2024"},{"key":"ref22","volume-title":"The Global Partnership on Artificial Intelligence (GAPI)","year":"2024"}],"container-title":["Computer"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/2\/10660581\/10660589.pdf?arnumber=10660589","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,2]],"date-time":"2024-09-02T04:19:15Z","timestamp":1725250755000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10660589\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9]]},"references-count":22,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/mc.2024.3401085","relation":{},"ISSN":["0018-9162","1558-0814"],"issn-type":[{"value":"0018-9162","type":"print"},{"value":"1558-0814","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,9]]}}}