{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T01:51:04Z","timestamp":1774317064222,"version":"3.50.1"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031582042","type":"print"},{"value":"9783031582028","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-58202-8_6","type":"book-chapter","created":{"date-parts":[[2024,8,26]],"date-time":"2024-08-26T23:02:05Z","timestamp":1724713325000},"page":"83-97","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Social Value Alignment in\u00a0Large Language Models"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6301-0028","authenticated-orcid":false,"given":"Giulio Antonio","family":"Abbo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9931-156X","authenticated-orcid":false,"given":"Serena","family":"Marchesi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3323-7357","authenticated-orcid":false,"given":"Agnieszka","family":"Wykowska","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5207-7745","authenticated-orcid":false,"given":"Tony","family":"Belpaeme","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,8,22]]},"reference":[{"key":"6_CR1","doi-asserted-by":"publisher","unstructured":"Abbo, G.A., Belpaeme, T.: Users\u2019 perspectives on value awareness in social robots. In: Proceedings of the 1st Workshop on Perspectives on Moral Agency in Human-Robot Interaction. Stockholm, Sweden (2023). https:\/\/doi.org\/10.5281\/zenodo.8123742","DOI":"10.5281\/zenodo.8123742"},{"key":"6_CR2","unstructured":"Ahn, M., et\u00a0al.: Do as i can, not as i say: grounding language in robotic affordances. arXiv preprint arXiv:2204.01691 (2022)"},{"issue":"7729","key":"6_CR3","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1038\/s41586-018-0637-6","volume":"563","author":"E Awad","year":"2018","unstructured":"Awad, E., et al.: The moral machine experiment. Nature 563(7729), 59\u201364 (2018)","journal-title":"Nature"},{"key":"6_CR4","doi-asserted-by":"publisher","unstructured":"Brunet-Gouet, E., Vidal, N., Roux, P.: Do conversational agents have a theory of mind? a single case study of chatgpt with the hinting, false beliefs and false photographs, and strange stories paradigms (2023). https:\/\/doi.org\/10.5281\/zenodo.7637476","DOI":"10.5281\/zenodo.7637476"},{"key":"6_CR5","unstructured":"Butlin, P., et\u00a0al.: Consciousness in artificial intelligence: insights from the science of consciousness. arXiv preprint arXiv:2308.08708 (2023)"},{"key":"6_CR6","doi-asserted-by":"crossref","unstructured":"Dehaene, S., Changeux, J.P., Naccache, L.: The global neuronal workspace model of conscious access: from neuronal architectures to clinical applications. In: Characterizing Consciousness: From Cognition to the Clinic?, pp. 55\u201384 (2011)","DOI":"10.1007\/978-3-642-18015-6_4"},{"key":"6_CR7","doi-asserted-by":"crossref","first-page":"451","DOI":"10.1038\/s44159-023-00211-x","volume":"2","author":"MC Frank","year":"2023","unstructured":"Frank, M.C.: Baby steps in evaluating the capacities of large language models. Nat. Rev. Psychol. 2, 451\u2013452 (2023)","journal-title":"Nat. Rev. Psychol."},{"key":"6_CR8","doi-asserted-by":"crossref","unstructured":"Janssens, R., Wolfert, P., Demeester, T., Belpaeme, T.: \u201ccool glasses, where did you get them?\u201d generating visually grounded conversation starters for human-robot dialogue. In: 2022 17th ACM\/IEEE International Conference on Human-Robot Interaction (HRI), pp. 821\u2013825. IEEE (2022)","DOI":"10.1109\/HRI53351.2022.9889489"},{"key":"6_CR9","unstructured":"Jiang, L., et\u00a0al.: Can machines learn morality? the delphi experiment. arXiv e-prints arXiv:2110.07574 (2021)"},{"issue":"8","key":"6_CR10","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1016\/j.tics.2005.06.011","volume":"9","author":"J Knobe","year":"2005","unstructured":"Knobe, J.: Theory of mind and moral cognition: exploring the connections. Trends Cogn. Sci. 9(8), 357\u2013359 (2005)","journal-title":"Trends Cogn. Sci."},{"key":"6_CR11","unstructured":"Kosinski, M.: Theory of mind may have spontaneously emerged in large language models. arXiv preprint arXiv:2302.02083 (2023)"},{"issue":"2\u20133","key":"6_CR12","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1080\/01638539809545028","volume":"25","author":"TK Landauer","year":"1998","unstructured":"Landauer, T.K., Foltz, P.W., Laham, D.: An introduction to latent semantic analysis. Discourse Process. 25(2\u20133), 259\u2013284 (1998)","journal-title":"Discourse Process."},{"issue":"4","key":"6_CR13","doi-asserted-by":"crossref","first-page":"871","DOI":"10.1348\/026151009X483056","volume":"28","author":"JD Lane","year":"2010","unstructured":"Lane, J.D., Wellman, H.M., Olson, S.L., LaBounty, J., Kerr, D.C.: Theory of mind and emotion understanding predict moral development in early childhood. Br. J. Dev. Psychol. 28(4), 871\u2013889 (2010)","journal-title":"Br. J. Dev. Psychol."},{"key":"6_CR14","doi-asserted-by":"crossref","first-page":"1189525","DOI":"10.3389\/frobt.2023.1189525","volume":"10","author":"A Marchetti","year":"2023","unstructured":"Marchetti, A., Di Dio, C., Cangelosi, A., Manzi, F., Massaro, D.: Developing chatgpt\u2019s theory of mind. Front. Rob. AI 10, 1189525 (2023)","journal-title":"Front. Rob. AI"},{"key":"6_CR15","unstructured":"Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781 (2013)"},{"issue":"13","key":"6_CR16","doi-asserted-by":"crossref","DOI":"10.1073\/pnas.2215907120","volume":"120","author":"M Mitchell","year":"2023","unstructured":"Mitchell, M., Krakauer, D.C.: The debate over understanding in AI\u2019s large language models. Proc. Nat. Acad. Sci. 120(13), e2215907120 (2023)","journal-title":"Proc. Nat. Acad. Sci."},{"key":"6_CR17","doi-asserted-by":"crossref","unstructured":"Pennington, J., Socher, R., Manning, C.D.: Glove: Global vectors for word representation. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1532\u20131543 (2014)","DOI":"10.3115\/v1\/D14-1162"},{"key":"6_CR18","unstructured":"Riedl, M.O., Harrison, B.: Using Stories to Teach Human Values to Artificial Agents (2016)"},{"issue":"1","key":"6_CR19","first-page":"11","volume":"2","author":"SH Schwartz","year":"2012","unstructured":"Schwartz, S.H.: An overview of the schwartz theory of basic values. Online Read. Psychol. Cult. 2(1), 11 (2012)","journal-title":"Online Read. Psychol. Cult."},{"key":"6_CR20","volume-title":"Being You: A New Science of Consciousness","author":"A Seth","year":"2021","unstructured":"Seth, A.: Being You: A New Science of Consciousness. Penguin, London (2021)"},{"key":"6_CR21","doi-asserted-by":"crossref","unstructured":"Trott, S., Jones, C., Chang, T., Michaelov, J., Bergen, B.: Do large language models know what humans know? arXiv preprint arXiv:2209.01515 (2022)","DOI":"10.1111\/cogs.13309"},{"key":"6_CR22","unstructured":"Ullman, T.: Large language models fail on trivial alterations to theory-of-mind tasks. arXiv preprint arXiv:2302.08399 (2023)"},{"key":"6_CR23","volume-title":"Moral Machines: Teaching Robots Right From Wrong","author":"W Wallach","year":"2008","unstructured":"Wallach, W., Allen, C.: Moral Machines: Teaching Robots Right From Wrong. Oxford University Press, Oxford (2008)"}],"container-title":["Lecture Notes in Computer Science","Value Engineering in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-58202-8_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,26]],"date-time":"2024-08-26T23:02:58Z","timestamp":1724713378000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-58202-8_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031582042","9783031582028"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-58202-8_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"22 August 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"VALE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Value Engineering in AI","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Krakow","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Poland","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 September 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 September 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"vale2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/vale2023.iiia.csic.es\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}