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While in recent years computers have propelled science by crunching through data and leading to a data science revolution, qualitatively different scientific advances will result from advanced intelligent technologies for crunching through knowledge and ideas. We propose seven principles for developing thoughtful artificial intelligence, which will turn intelligent systems into partners for scientists. We present a personal perspective on a research agenda for thoughtful artificial intelligence, and discuss its potential for data science and scientific discovery.<\/jats:p>","DOI":"10.3233\/ds-170011","type":"journal-article","created":{"date-parts":[[2017,12,20]],"date-time":"2017-12-20T10:53:43Z","timestamp":1513767223000},"page":"119-129","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":11,"title":["Thoughtful artificial intelligence: Forging\u00a0a\u00a0new\u00a0partnership\u00a0for\u00a0data science\u00a0and\u00a0scientific\u00a0discovery"],"prefix":"10.1177","volume":"1","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8465-8341","authenticated-orcid":false,"given":"Yolanda","family":"Gil","sequence":"first","affiliation":[{"name":"Information Sciences Institute and Department of Computer Science, University of Southern California, Marina del Rey, CA, USA. 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