{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,12,24]],"date-time":"2024-12-24T05:07:08Z","timestamp":1735016828196,"version":"3.32.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643685694","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,12,20]],"date-time":"2024-12-20T00:00:00Z","timestamp":1734652800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,12,20]]},"abstract":"<jats:p>As the performance and capabilities grow in current A.I technologies, A.I is widely used in many different products potentially having safety impacts to the human. These products include Autonomous Driving, Robotics and Weapons\u2026etc. The safety issues of the product which embeds A.I technologies, need to be evaluated and handled from both of functionalities, performances and malfunctioning perspective; Furthermore, the alignment issue of super intelligent large A.I model, is also an even bigger threats to public safety. In this paper, an approach to integrate system engineering, deductive and inductive analysis and classical safety technologies with modern A.I technologies to attempt to solve A.I safety and alignment issues are proposed<\/jats:p>","DOI":"10.3233\/faia241459","type":"book-chapter","created":{"date-parts":[[2024,12,23]],"date-time":"2024-12-23T09:49:29Z","timestamp":1734947369000},"source":"Crossref","is-referenced-by-count":0,"title":["Solving A.I Safety and Alignment Issues Through Classical Safety Technology"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-2569-5919","authenticated-orcid":false,"given":"Bentley Yusen","family":"Lin","sequence":"first","affiliation":[{"name":"exida Safety Systems (Shanghai) Co., Ltd, China"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Fuzzy Systems and Data Mining X"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA241459","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,23]],"date-time":"2024-12-23T09:49:29Z","timestamp":1734947369000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA241459"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,20]]},"ISBN":["9781643685694"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia241459","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,20]]}}}