| Literature DB >> 31702559 |
Abstract
Although much effort is focused on improving the technical performance of artificial intelligence, there are compelling reasons to focus more on the implementation of this technology class to solve real-world applications. In this "last mile" of implementation lie many complex challenges that may make technically high-performing systems perform poorly. Instead of viewing artificial intelligence development as a linear one of algorithm development through to eventual deployment, there are strong reasons to take a more agile approach, iteratively developing and testing artificial intelligence within the context in which it finally will be used. ©Enrico Coiera. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 08.11.2019.Entities:
Keywords: artificial intelligence; implementation sceince; sociotechnical systems
Mesh:
Year: 2019 PMID: 31702559 DOI: 10.2196/16323
Source DB: PubMed Journal: J Med Internet Res ISSN: 1438-8871 Impact factor: 5.428