https://w3id.org/np/RAW8N0mSilCuTeFQKf1rhzXgrMGRAKZgEOJQhqWAAnCtg/Head https://w3id.org/np/RAW8N0mSilCuTeFQKf1rhzXgrMGRAKZgEOJQhqWAAnCtg http://www.nanopub.org/nschema#hasAssertion https://w3id.org/np/RAW8N0mSilCuTeFQKf1rhzXgrMGRAKZgEOJQhqWAAnCtg/assertion https://w3id.org/np/RAW8N0mSilCuTeFQKf1rhzXgrMGRAKZgEOJQhqWAAnCtg http://www.nanopub.org/nschema#hasProvenance https://w3id.org/np/RAW8N0mSilCuTeFQKf1rhzXgrMGRAKZgEOJQhqWAAnCtg/provenance https://w3id.org/np/RAW8N0mSilCuTeFQKf1rhzXgrMGRAKZgEOJQhqWAAnCtg http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/np/RAW8N0mSilCuTeFQKf1rhzXgrMGRAKZgEOJQhqWAAnCtg/pubinfo https://w3id.org/np/RAW8N0mSilCuTeFQKf1rhzXgrMGRAKZgEOJQhqWAAnCtg http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/np/RAW8N0mSilCuTeFQKf1rhzXgrMGRAKZgEOJQhqWAAnCtg/assertion http://id.crossref.org/issn/2451-8492 http://purl.org/dc/terms/title Data Science https://doi.org/10.3233/DS-170011 http://purl.org/dc/terms/abstract Artificial intelligence will play an increasingly more prominent role in scientific research ecosystems, and will become indispensable as more interdisciplinary science questions are tackled. 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. https://doi.org/10.3233/DS-170011 http://purl.org/dc/terms/date 2017-10-19 https://doi.org/10.3233/DS-170011 http://purl.org/dc/terms/isPartOf http://id.crossref.org/issn/2451-8492 https://doi.org/10.3233/DS-170011 http://purl.org/dc/terms/title Thoughtful artificial intelligence: Forging a new partnership for data science and scientific discovery https://doi.org/10.3233/DS-170011 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/PositionPaper https://orcid.org/0000-0001-8465-8341 http://schema.org/affiliation https://ror.org/03taz7m60 https://orcid.org/0000-0001-8465-8341 http://schema.org/email gil@isi.edu https://orcid.org/0000-0001-8465-8341 http://xmlns.com/foaf/0.1/name Yolanda Gil https://ror.org/03taz7m60 http://xmlns.com/foaf/0.1/name Information Sciences Institute and Department of Computer Science, University of Southern California, Marina del Rey, CA, USA https://w3id.org/np/RAW8N0mSilCuTeFQKf1rhzXgrMGRAKZgEOJQhqWAAnCtg/author-list http://www.w3.org/1999/02/22-rdf-syntax-ns#_1 https://orcid.org/0000-0001-8465-8341 https://w3id.org/np/RAW8N0mSilCuTeFQKf1rhzXgrMGRAKZgEOJQhqWAAnCtg/provenance https://w3id.org/np/RAW8N0mSilCuTeFQKf1rhzXgrMGRAKZgEOJQhqWAAnCtg/assertion http://www.w3.org/ns/prov#wasAttributedTo https://orcid.org/0000-0001-8465-8341 https://w3id.org/np/RAW8N0mSilCuTeFQKf1rhzXgrMGRAKZgEOJQhqWAAnCtg/pubinfo https://orcid.org/0000-0001-8465-8341 http://xmlns.com/foaf/0.1/name Yolanda Gil https://orcid.org/0000-0002-1267-0234 http://xmlns.com/foaf/0.1/name Tobias Kuhn https://w3id.org/np/RAW8N0mSilCuTeFQKf1rhzXgrMGRAKZgEOJQhqWAAnCtg http://purl.org/dc/terms/created 2025-04-18T05:29:59.716Z https://w3id.org/np/RAW8N0mSilCuTeFQKf1rhzXgrMGRAKZgEOJQhqWAAnCtg http://purl.org/dc/terms/creator https://orcid.org/0000-0002-1267-0234 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