Why do we need to employ exemplars in moral education? Insights from recent advances in research on artificial intelligence

REFERENCES

• Abid, A., Farooqi, M., & Zou, J. (2021). Persistent Anti-Muslim Bias in Large Language Models. Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society (pp. 298–306). https://doi.org/10.1145/3461702.3462624
   Google Scholar
• Aharoni, E., Fernandes, S., Brady, D. J., Alexander, C., Michael, C., Queen, K., Rando, J., Nahmias, K., & Crespo, V. (2024). Attributions toward artificial agents in a modified moral turing test. https://doi.org/10.31234/osf.io/4gxtk
   Google Scholar
• Algoe, S. B., & Haidt, J. (2009). Witnessing excellence in action: The ‘other-praising’emotions of elevation, gratitude, and admiration. The Journal of Positive Psychology, 4(2), 105–127. https://doi.org/10.1080/17439760802650519
   PubMed Web of Science ®Google Scholar
• Alves, C. L., Toutain, T. G. L. D. O., Porto, J. A. M., Aguiar, P. M. D. C., De Sena, E. P., Rodrigues, F. A., & Thielemann, C. (2023). Analysis of functional connectivity using machine learning and deep learning in different data modalities from individuals with schizophrenia. Journal of Neural Engineering, 20(5), 056025. https://doi.org/10.1088/1741-2552/acf734
   Web of Science ®Google Scholar
• Athanassoulis, N. (2022). The phronimos as a moral exemplar: Two internal objections and a proposed solution. The Journal of Value Inquiry, 58(1), 131–150. https://doi.org/10.1007/s10790-021-09872-4
   Web of Science ®Google Scholar
• Athanassoulis, N., & Han, H. (2023). Role modeling is beneficial in moral character education: A commentary on Carr (2023). Philosophical Inquiry in Education, 30(3), 240–243.
   Google Scholar
• Bandura, A., & McDonald, F. J. (1963). Influence of social reinforcement and the behavior of models in shaping children’s moral judgments. Journal of Abnormal and Social Psychology, 67(3), 274–281. https://doi.org/10.1037/h0044714
   Web of Science ®Google Scholar
• Bandura, A., Ross, D., & Ross, S. A. (1963). Vicarious reinforcement and imitative learning. The Journal of Abnormal and Social Psychology, 67(6), 601–607. https://doi.org/10.1037/h0045550
   Web of Science ®Google Scholar
• Binz, M., Dasgupta, I., Jagadish, A. K., Botvinick, M., Wang, J. X., & Schulz, E. (2023). Meta-learned models of cognition. Behavioral and Brain Sciences, 1–38. https://doi.org/10.1017/S0140525X23003266
   PubMedGoogle Scholar
• Blatt, M. M., & Kohlberg, L. (1975). The effects of classroom moral discussion upon Children’s level of moral judgment. Journal of Moral Education, 4(2), 129–161. https://doi.org/10.1080/0305724750040207
   Google Scholar
• Bronfenbrenner, U. (1993). Ecological models of human development. In M. Gauvain & M. Cole (Eds.), Readings on the development of children (2nd ed. pp. 37–43). Freeman.
   Google Scholar
• Campolo, A., & Schwerzmann, K. (2023). From rules to examples: Machine learning’s type of authority. Big Data & Society, 10(2), 20539517231188725. https://doi.org/10.1177/20539517231188725
   Web of Science ®Google Scholar
• Carr, D. (2023). The hazards of role modelling for the education of moral and/or virtuous character. Philosophical Inquiry in Education, 30(1), 68–79. https://doi.org/10.7202/1099903ar
   Google Scholar
• Čehajić‐Clancy, S., & Bilewicz, M. (2020). Appealing to moral exemplars: Shared perception of morality as an Essential Ingredient of Intergroup Reconciliation. Social Issues and Policy Review, 14(1), 217–243. https://doi.org/10.1111/sipr.12067
   Web of Science ®Google Scholar
• Čehajić-Clancy, S., & Bilewicz, M. (2021). Moral-Exemplar Intervention: A new paradigm for conflict resolution and Intergroup Reconciliation. Current Directions in Psychological Science, 30(4), 335–342. https://doi.org/10.1177/09637214211013001
   Web of Science ®Google Scholar
• Chalmers, D. J. (2023). Could a large language model be conscious? (arXiv:2303.07103). arXiv. http://arxiv.org/abs/2303.07103
   Google Scholar
• Chang, Y., Wang, X., Wang, J., Wu, Y., Yang, L., Zhu, K., … Xie, X. (2023). A survey on evaluation of large language models (arXiv:2307.03109). arXiv. http://arxiv.org/abs/2307.03109
   Google Scholar
• Chen, J. H., Dhaliwal, G., & Yang, D. (2022). Decoding artificial intelligence to achieve diagnostic excellence: Learning from experts, examples, and experience. JAMA, 328(8), 709. https://doi.org/10.1001/jama.2022.13735
   PubMed Web of Science ®Google Scholar
• Cole, D. (2020). The Chinese room argument. In E. N. Zalta & U. Nodelman (Eds.), The Stanford encyclopedia of philosophy. Stanford University. https://plato.stanford.edu/entries/chinese-room.
   Google Scholar
• Cowan, R. J., & Swearer, S. M. (2004). School–community partnerships. In Encyclopedia of applied psychology (pp. 309–317). Elsevier. https://doi.org/10.1016/B0-12-657410-3/00787-X.
   Google Scholar
• Damon, W., & Colby, A. (2013). Why a true account of human development requires exemplar research. In M. K. Matsuba, P. E. King, & K. C. Bronk (Eds.), Exemplar methods and research: Quantitative and qualitative strategies for investigation. New directions in child and adolescent development (pp. 13–26). Jossey-Bass.
   Google Scholar
• Darnell, C., Fowers, B. J., & Kristjánsson, K. (2022). A multifunction approach to assessing Aristotelian phronesis (practical wisdom). Personality and Individual Differences, 196, 111684. https://doi.org/10.1016/j.paid.2022.111684
   Web of Science ®Google Scholar
• Darnell, C., Gulliford, L., Kristjánsson, K., & Paris, P. (2019). Phronesis and the Knowledge-Action Gap in moral psychology and moral education: A new synthesis? Human Development, 62(3), 101–129. https://doi.org/10.1159/000496136
   Web of Science ®Google Scholar
• De Caro, M., Marraffa, M., & Vaccarezza, M. S. (2021). The priority of phronesis: How to rescue virtue theory from its crisis. In M. D. Caro & M. S. Vaccarezza (Eds.), Practical wisdom: Philosophical and psychological perspectives (pp. 29–51). Routledge.
   Google Scholar
• De Caro, M., Vaccarezza, M. S., & Niccoli, A. (2018). Phronesis as ethical expertise: Naturalism of second nature and the Unity of Virtue. The Journal of Value Inquiry, 52(3), 287–305. https://doi.org/10.1007/s10790-018-9654-9
   Web of Science ®Google Scholar
• Demszky, D., Yang, D., Yeager, D. S., Bryan, C. J., Clapper, M., Chandhok, S., … Pennebaker, J. W. (2023). Using large language models in psychology. Nature Reviews Psychology, 2(11), 688–701. https://doi.org/10.1038/s44159-023-00241-5
   Google Scholar
• Dhar, V. (2023). The paradigm shifts in artificial intelligence ( arXiv:2308.02558). arXiv. http://arxiv.org/abs/2308.02558
   Google Scholar
• Dougherty, M. R., & Robey, A. (2018). Neuroscience and education: A bridge astray? Current Directions in Psychological Science, 27(6), 401–406. https://doi.org/10.1177/0963721418794495
   Web of Science ®Google Scholar
• Engelen, B., Thomas, A., Archer, A., & Van De Ven, N. (2018). Exemplars and nudges: Combining two strategies for moral education. Journal of Moral Education, 47(3), 346–365. https://doi.org/10.1080/03057240.2017.1396966
   Web of Science ®Google Scholar
• FeldmanHall, O., & Lamba, A. (2023). Learning to weigh competing moral motivations. In M. K. Berg & E. C. Chang (Eds.), Motivation and morality: A multidisciplinary approach (pp. 157–184). American Psychological Association. https://doi.org/10.1037/0000342-007.
   Google Scholar
• Forbes, V. C. B., Dickinson, K. J. M., & Hulbe, C. L. (2022). Applying a social-ecological systems lens to patterns of policy, operational change, and gender participation in a large Aotearoa New Zealand organisation. Journal of the Royal Society of New Zealand, 52(5), 539–568. https://doi.org/10.1080/03036758.2021.2012489
   Web of Science ®Google Scholar
• Frank, M. C. (2023). Large language models as models of human cognition [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/wxt69
   Google Scholar
• Freeman, D., Aquino, K., & McFerran, B. (2009). Overcoming beneficiary race as an impediment to charitable donations: Social dominance orientation, the experience of moral elevation, and donation behavior. Personality and Social Psychology Bulletin, 35(1), 72–84. https://doi.org/10.1177/0146167208325415
   PubMed Web of Science ®Google Scholar
• Fridland, E., & Moore, R. (2015). Imitation reconsidered. Philosophical Psychology, 28(6), 856–880. https://doi.org/10.1080/09515089.2014.942896
   Web of Science ®Google Scholar
• Ganguli, D., Askell, A., Schiefer, N., Liao, T. I., Lukošiūtė, K., Chen, A., Goldie, A., Mirhoseini, A., Olsson, C., Hernandez, D., Drain, D., Li, D., Tran-Johnson, E., Perez, E., Kernion, J., Kerr, J., Mueller, J., Landau, J., dousse, K., … Kaplan, J. (2023). The capacity for moral self-correction in large language models ( arXiv:2302.07459). arXiv. http://arxiv.org/abs/2302.07459
   Google Scholar
• Giannakidou, A., & Mari, A. (2024). The human and the mechanical: Logos, truthfulness, and ChatGPT. arXiv. https://arxiv.org/abs/2402.01267
   Google Scholar
• Hacker-Wright, J. (2023). The practical unity of practical wisdom. Topoi. https://doi.org/10.1007/s11245-023-09999-y
   Google Scholar
• Hadi, M. U., Tashi, Q. A., Qureshi, R., Shah, A., Muneer, A., Irfan, M., … Mirjalili, S. (2023). Large language models: A comprehensive survey of its applications, challenges, limitations, and future prospects. https://doi.org/10.36227/techrxiv.23589741.v4
   Google Scholar
• Haidt, J. (2000). The positive emotion of elevation. Prevention & Treatment, 3(3), 1–5. https://doi.org/10.1037/1522-3736.3.1.33c
   Google Scholar
• Hamilton, B. (2019). Navigating moral struggle: Toward a social model of exemplarity. Journal of Religious Ethics, 47(3), 566–582. https://doi.org/10.1111/jore.12276
   Web of Science ®Google Scholar
• Han, H. (2015). Virtue ethics, positive psychology, and a new model of science and engineering ethics education. Science and Engineering Ethics, 21(2), 441–460. https://doi.org/10.1007/s11948-014-9539-7
   PubMed Web of Science ®Google Scholar
• Han, H. (2023a). Considering the purposes of moral education with evidence in neuroscience: Emphasis on habituation of virtues and cultivation of Phronesis. Ethical Theory and Moral Practice. https://doi.org/10.1007/s10677-023-10369-1
   Web of Science ®Google Scholar
• Han, H. (2023b). Potential benefits of employing large language models in research in moral education and development. Journal of Moral Education, 1–16. https://doi.org/10.1080/03057240.2023.2250570
   Web of Science ®Google Scholar
• Han, H. (2024a). Examining phronesis models with evidence from the neuroscience of morality focusing on brain networks. Topoi. https://doi.org/10.1007/s11245-023-10001-y
   Google Scholar
• Han, H. (2024b). Examining the network structure among moral functioning components with network analysis. Personality and Individual Differences, 217, 112435. https://doi.org/10.1016/j.paid.2023.112435
   Web of Science ®Google Scholar
• Han, H., & Dawson, K. J. (2023). Relatable and attainable moral exemplars as sources for moral elevation and pleasantness. Journal of Moral Education. https://doi.org/10.1080/03057240.2023.2173158
   Web of Science ®Google Scholar
• Han, H., & Graham, M. (2023). Considerations for effective use of moral exemplars in education: Based on the self-determination theory and data syntheses [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/n6mkp
   Google Scholar
• Han, H., Kim, J., Jeong, C., & Cohen, G. L. (2017). Attainable and relevant moral exemplars are more effective than extraordinary exemplars in promoting voluntary service engagement. Frontiers in Psychology, 8, 283. https://doi.org/10.3389/fpsyg.2017.00283
   PubMed Web of Science ®Google Scholar
• Han, H., Lee, K., & Soylu, F. (2020). Applying the deep learning method for simulating outcomes of educational interventions. SN Computer Science, 1(2), 70. https://doi.org/10.1007/s42979-020-0075-z
   Google Scholar
• Han, H., Soylu, F., & Anchan, D. M. (2019). Connecting levels of analysis in educational neuroscience: A review of multi-level structure of educational neuroscience with concrete examples. Trends in Neuroscience and Education, 17, 100113. https://doi.org/10.1016/j.tine.2019.100113
   PubMed Web of Science ®Google Scholar
• Han, H., Workman, C. I., May, J., Scholtens, P., Dawson, K. J., Glenn, A. L., & Meindl, P. (2022). Which moral exemplars inspire prosociality? Philosophical Psychology, 35(7), 943–970. https://doi.org/10.1080/09515089.2022.2035343
   PubMed Web of Science ®Google Scholar
• Henderson, E. (2023). Entangled phronesis and the four causes of emulation: Developmental insights into role modelling. Theory and Research in Education, 21(3), 264–283. https://doi.org/10.1177/14778785231203104
   Web of Science ®Google Scholar
• Henderson, E. (2024a). The educational salience of emulation as a moral virtue. Journal of Moral Education, 53(1), 73–88. https://doi.org/10.1080/03057240.2022.2130882
   Web of Science ®Google Scholar
• Henderson, E. (2024b). Special issue on exemplars and emulation in moral education: Guest editorial. Journal of Moral Education, 53(1), 1–13. https://doi.org/10.1080/03057240.2023.2291213
   Web of Science ®Google Scholar
• Ho, N., Schmid, L., & Yun, S.-Y. (2023). Large language models are reasoning teachers ( arXiv:2212.10071). arXiv. http://arxiv.org/abs/2212.10071
   Google Scholar
• Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., … Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274
   Web of Science ®Google Scholar
• Ke, L., Tong, S., Cheng, P., & Peng, K. (2024). Exploring the frontiers of LLMs in psychological applications: A comprehensive review ( arXiv:2401.01519). arXiv. http://arxiv.org/abs/2401.01519
   Google Scholar
• Koppe, G., Meyer-Lindenberg, A., & Durstewitz, D. (2021). Deep learning for small and big data in psychiatry. Neuropsychopharmacology REVIEWS, 46(1), 176–190. https://doi.org/10.1038/s41386-020-0767-z
   PubMed Web of Science ®Google Scholar
• Kosinski, M. (2023). Theory of mind May have spontaneously emerged in large language models (arXiv:2302.02083). arXiv. http://arxiv.org/abs/2302.02083
   Google Scholar
• Kristjánsson, K. (2006). Emulation and the use of role models in moral education. Journal of Moral Education, 35(1), 37–49. https://doi.org/10.1080/03057240500495278
   Web of Science ®Google Scholar
• Kristjánsson, K. (2014). Phronesis and moral education: Treading beyond the truisms. Theory and Research in Education, 12(2), 151–171. https://doi.org/10.1177/1477878514530244
   Google Scholar
• Kristjánsson, K. (2017). Emotions targeting moral exemplarity: Making sense of the logical geography of admiration, emulation and elevation. Theory and Research in Education, 15(1), 20–37. https://doi.org/10.1177/1477878517695679
   Web of Science ®Google Scholar
• Kristjánsson, K., & Fowers, B. (2022). Phronesis as moral decathlon: Contesting the redundancy thesis about phronesis. Philosophical Psychology, 37(2), 279–298. https://doi.org/10.1080/09515089.2022.2055537
   Web of Science ®Google Scholar
• Kristjánsson, K., Fowers, B., Darnell, C., & Pollard, D. (2021). Phronesis (practical wisdom) as a type of contextual integrative thinking. Review of General Psychology, 25(3), 239–257. https://doi.org/10.1177/10892680211023063
   Web of Science ®Google Scholar
• Langdon, A., Botvinick, M., Nakahara, H., Tanaka, K., Matsumoto, M., & Kanai, R. (2022). Meta-learning, social cognition and consciousness in brains and machines. Neural Networks, 145, 80–89. https://doi.org/10.1016/j.neunet.2021.10.004
   PubMed Web of Science ®Google Scholar
• LeCun, Y., Bengio, Y., Hinton, G., Goodfellow, I. J., & Courville, A. (2015). Deep Learning. Nature, 521(7553), 436–444. https://doi.org/10.1038/nature14539
   PubMed Web of Science ®Google Scholar
• Lengbeyer, L. (2022). Dismantling the Chinese room with linguistic tools: A framework for elucidating concept-application disputes. AI & SOCIETY, 37(4), 1625–1643. https://doi.org/10.1007/s00146-021-01257-2
   Web of Science ®Google Scholar
• Liévin, V., Hother, C. E., Motzfeldt, A. G., & Winther, O. (2023). Can large language models reason about medical questions? ( arXiv:2207.08143). arXiv. http://arxiv.org/abs/2207.08143
   Google Scholar
• Li, Y., Sha, L., Yan, L., Lin, J., Raković, M., Galbraith, K., … Chen, G. (2023). Can large language models write reflectively. Computers and Education: Artificial Intelligence, 4, 100140. https://doi.org/10.1016/j.caeai.2023.100140
   Google Scholar
• Lockwood, P., Jordan, C. H., & Kunda, Z. (2002). Motivation by positive or negative role models: Regulatory focus determines who will best inspire us. Journal of Personality and Social Psychology, 83(4), 854–864. https://doi.org/10.1037/0022-3514.83.4.854
   PubMed Web of Science ®Google Scholar
• Lockwood, P., & Kunda, Z. (1997). Superstars and me: Predicting the impact of role models on the self. Journal of Personality and Social Psychology, 73(1), 91–103. https://doi.org/10.1037/0022-3514.73.1.91
   Web of Science ®Google Scholar
• Macpherson, T., Churchland, A., Sejnowski, T., DiCarlo, J., Kamitani, Y., Takahashi, H., & Hikida, T. (2021). Natural and artificial intelligence: A brief introduction to the interplay between AI and neuroscience research. Neural Networks, 144, 603–613. https://doi.org/10.1016/j.neunet.2021.09.018
   PubMed Web of Science ®Google Scholar
• Murry, V. M., Hanebutt, R., Han, H., Debreaux, M., & Nyanamba, J. (2024). Culturally sensitive and contextually adapted exemplars of character development: Implications for reimagining frameworks.
   Google Scholar
• Mu, Y., Zhang, Q., Hu, M., Wang, W., Ding, M., Jin, J., … Luo, P. (2023). EmbodiedGPT: Vision-language pre-training via embodied chain of thought (arXiv:2305.15021). arXiv. http://arxiv.org/abs/2305.15021
   Google Scholar
• Naous, T., Ryan, M. J., Ritter, A., & Xu, W. (2023). Having beer after prayer? Measuring cultural bias in large language models (arXiv:2305.14456). arXiv. http://arxiv.org/abs/2305.14456
   Google Scholar
• Nartey, P., Bahar, O. S., & Nabunya, P. (2023). A review of the cultural gender norms contributing to gender inequality in Ghana: An ecological systems perspective. Journal of International Women’s Studies, 25(7), 14.
   Google Scholar
• Navigli, R., Conia, S., & Ross, B. (2023). Biases in large language models: Origins, inventory, and discussion. Journal of Data and Information Quality, 15(2), 1–21. https://doi.org/10.1145/3597307
   Google Scholar
• Niebuhr, R. (2013). Moral man and immoral society: A study in ethics and politics (2. ed.). Westminster John Knox Press.
   Google Scholar
• Nolfi, S. (2023). On the unexpected abilities of large language models (arXiv:2308.09720). arXiv. http://arxiv.org/abs/2308.09720
   Google Scholar
• Penn, W. Y. (1990). Teaching ethics – A direct approach. Journal of Moral Education, 19(2), 124–138. https://doi.org/10.1080/0305724900190206
   Web of Science ®Google Scholar
• Piel, M. H., Geiger, J. M., Julien‐Chinn, F. J., & Lietz, C. A. (2017). An ecological systems approach to understanding social support in foster family resilience. Child & Family Social Work, 22(2), 1034–1043. https://doi.org/10.1111/cfs.12323
   Web of Science ®Google Scholar
• Prystawski, B., Thibodeau, P., Potts, C., & Goodman, N. D. (2023). Psychologically-informed chain-of-thought prompts for metaphor understanding in large language models (arXiv:2209.08141). arXiv. http://arxiv.org/abs/2209.08141
   Google Scholar
• Rabinowitz, N., Perbet, F., Song, F., Zhang, C., Eslami, S. A., & Botvinick, M. (2018). Machine theory of mind. Proceedings of the 35th International Conference on Machine Learning, Stockholm, Sweden (pp. 4218–4227). PMLR.
   Google Scholar
• Rashid, M., Singh, H., & Goyal, V. (2020). The use of machine learning and deep learning algorithms in functional magnetic resonance imaging – A systematic review. Expert Systems, 37(6), e12644. https://doi.org/10.1111/exsy.12644
   Web of Science ®Google Scholar
• Redford, J. L., Mcpherson, R. H., Frankiewicz, R. G., & Gaa, J. (1995). Intuition and moral development. The Journal of Psychology, 129(1), 91–101. https://doi.org/10.1080/00223980.1995.9914950
   Web of Science ®Google Scholar
• Sanderse, W. (2012). The meaning of role modelling in moral and character education. Journal of Moral Education, 42(1), 28–42. https://doi.org/10.1080/03057240.2012.690727
   Web of Science ®Google Scholar
• Sanderse, W. (2023). Adolescents’ moral self-cultivation through emulation: Implications for modelling in moral education. Journal of Moral Education, 53(1), 139–156. https://doi.org/10.1080/03057240.2023.2236314
   Web of Science ®Google Scholar
• Saxe, A. M. (2015). Deep linear neural networks: A theory of learning in the brain and mind. Stanford University.
   Google Scholar
• Schnall, S., Roper, J., & Fessler, D. M. T. (2010). Elevation leads to altruistic behavior. Psychological Science, 21(3), 315–320. https://doi.org/10.1177/0956797609359882
   PubMed Web of Science ®Google Scholar
• Schramowski, P., Turan, C., Andersen, N., Rothkopf, C. A., & Kersting, K. (2022). Large pre-trained language models contain human-like biases of what is right and wrong to do (arXiv:2103.11790). arXiv. http://arxiv.org/abs/2103.11790
   Google Scholar
• Schwitzgebel, E., Schwitzgebel, D., & Strasser, A. (2023). Creating a large language model of a philosopher. Mind & Language, 39(2), 237–259. https://doi.org/10.1111/mila.12466
   Web of Science ®Google Scholar
• Shaikh, O., Zhang, H., Held, W., Bernstein, M., & Yang, D. (2023). On second thought, let’s not think step by step! Bias and toxicity in zero-shot reasoning (arXiv:2212.08061). arXiv. http://arxiv.org/abs/2212.08061
   Google Scholar
• Silvers, J. A., & Haidt, J. (2008). Moral elevation can induce nursing. Emotion, 8(2), 291–295. https://doi.org/10.1037/1528-3542.8.2.291
   PubMed Web of Science ®Google Scholar
• Singhal, K., Azizi, S., Tu, T., Mahdavi, S. S., Wei, J., Chung, H. W., Scales, N., Tanwani, A., Cole-Lewis, H, Pfohl, S., Payne, P., Seneviratne, M., Gamble, P., Kelly, C., Scharli, N., Chowdhery, A., Mansfield, P., Aguera y Arcas, B., Webster, D., … Natarajan, V. (2022). Large language models encode clinical knowledge (arXiv:2212.13138). arXiv. http://arxiv.org/abs/2212.13138
   Google Scholar
• Smith, R. H. (2000). Assimilative and contrastive emotional reactions to upward and downward social comparisons. In J. Suls & L. Wheeler (Eds.), Handbook of social comparison: Theory and research (pp. 173–200). Kluwer Academic/Plenum Publishers.
   Google Scholar
• Srivastava, A., Rastogi, A., Rao, A., Awal Md Shoeb, A., Abid, A., Fisch, A., Brown, A.R., Santoro, A., Gupta, A., Garriga-Alonso, A., Kluska, A., Lewkowycz, A., Agarwal, A., Power, A., Ray, A., Warstadt, A., Kocurek., A.W., Safaya, A., Tazarv, A., … Ippolito, D. (2023). Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (arXiv:2206.04615). arXiv. http://arxiv.org/abs/2206.04615
   Google Scholar
• Suls, J., Martin, R., & Wheeler, L. (2002). Social comparison: Why, with whom, and with what effect? Current Directions in Psychological Science, 11(5), 159–163. https://doi.org/10.1111/1467-8721.00191
   Web of Science ®Google Scholar
• Tian, J.-J., Dige, O., Emerson, D., & Khattak, F. (2023). Using chain-of-thought prompting for interpretable recognition of social bias. Socially Responsible Language Modelling Research. https://openreview.net/forum?id=QyRganPqPz
   Google Scholar
• Trott, S., Jones, C., Chang, T., Michaelov, J., & Bergen, B. (2023). Do large language models know what humans know? Cognitive Science, 47(7), e13309. https://doi.org/10.1111/cogs.13309
   PubMed Web of Science ®Google Scholar
• Urman, A., & Makhortykh, M. (2023). The silence of the LLMs: Cross-lingual analysis of political bias and false information prevalence in ChatGPT, Google Bard, and Bing Chat. https://doi.org/10.31219/osf.io/q9v8f
   Google Scholar
• Vaccarezza, M. S., Kristjánsson, K., & Croce, M. (2023). Phronesis (practical wisdom) as a key to moral decision-making: Comparing two models. The Jubilee Centre for Character & Virtues Insight Series.
   Google Scholar
• Vaccarezza, M. S., & Niccoli, A. (2019). The dark side of the exceptional: On moral exemplars, character education, and negative emotions. Journal of Moral Education, 48(3), 332–345. https://doi.org/10.1080/03057240.2018.1534089
   Web of Science ®Google Scholar
• Vaccarezza, M. S., & Niccoli, A. (2022). Let the donkeys be donkeys: In defense of inspiring envy. In S. Protasi (Ed.), The moral psychology of envy (pp. 111–127). Rowman & Littlefield.
   Google Scholar
• Van Der Waa, J., Nieuwburg, E., Cremers, A., & Neerincx, M. (2021). Evaluating XAI: A comparison of rule-based and example-based explanations. Artificial Intelligence, 291, 103404. https://doi.org/10.1016/j.artint.2020.103404
   Web of Science ®Google Scholar
• Van Dijk, B., Kouwenhoven, T., Spruit, M. R., & van Duijn, M. J. (2023). Large language models: The need for nuance in current debates and a pragmatic perspective on understanding. arXiv. https://arxiv.org/abs/2310.19671
   Google Scholar
• Vianello, M., Galliani, E. M., & Haidt, J. (2010). Elevation at work: The effects of leaders’ moral excellence. The Journal of Positive Psychology, 5(5), 390–411. https://doi.org/10.1080/17439760.2010.516764
   Web of Science ®Google Scholar
• Wang, B., Li, G., & Li, Y. (2023). Enabling conversational interaction with Mobile UI using large language models. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1–17). https://doi.org/10.1145/3544548.3580895
   Google Scholar
• Wei, J., Wang, X., Schuurmans, D., Bosma, M., Ichter, B., Xia, F., & Zhou, D. (2023). Chain-of-thought prompting elicits reasoning in large language models (arXiv:2201.11903). arXiv. http://arxiv.org/abs/2201.11903
   Google Scholar
• Williams, J., Fiore, S. M., & Jentsch, F. (2022). Supporting artificial social intelligence with theory of mind. Frontiers in Artificial Intelligence, 5, 750763. https://doi.org/10.3389/frai.2022.750763
   PubMedGoogle Scholar
• Yamazaki, T., Yoshikawa, K., Kawamoto, T., Mizumoto, T., Ohagi, M., & Sato, T. (2023). Building a hospitable and reliable dialogue system for android robots: A scenario-based approach with large language models. Advanced Robotics, 37(21), 1364–1381. https://doi.org/10.1080/01691864.2023.2244554
   Web of Science ®Google Scholar
• Zagzebski, L. (2013). Moral exemplars in theory and practice. Theory and Research in Education, 11(2), 193–206. https://doi.org/10.1177/1477878513485177
   Google Scholar
• Zhao, W. X., Zhou, K., Li, J, Tang, T., Wang, X., Hou, Y., Min, Y., Zhang, B., Zhang, J., Dong, Z., Du, Y., Yang, C., Chen, Y., Chen, Z., Jiang, J., Ren, R., Li, Y., Tang, X., Liu, Z., … Wen, J.-R. (2023). A survey of large language models (arXiv:2303.18223). arXiv. http://arxiv.org/abs/2303.18223
   Google Scholar