Unlocking the power of Artificial Intelligence to develop people’s empathetic skills


Abstract views: 3 / PDF downloads: 6

Authors

DOI:

https://doi.org/10.31039/plic.2025.13.329

Keywords:

ChatGPT, Artificial Intelligence, Empathy, Interpersonal Reactivity Index, Empathic Concern, AI-based empathy training

Abstract

Empathy shapes our interactions and is an important foundation for our relationships, be they private or professional. The fact that there are people who lack empathy raises the question of whether empathy can be learned. This research focuses on exploring how AI-based empathy training can help promote human empathy. It employs three methodological approaches: (1) an expert interview with a specialist in empathy, (2) expert questionnaires, and (3) scenario-based questionnaires answered by both humans and ChatGPT, with results compared using the IRI assessment. This study concludes that AI-supported training, provided it meets certain requirements, must be fundamentally human-centered. Successful AI-supported empathy training enables realistic yet harm-free emotional experiences and incorporates diversity considerations directly into algorithm design. Both ethical and psychological prerequisites such as trust, emotional security, and cultural sensitivity as well as design requirements for AI interaction, need to be met. While AI-supported training can never replace human interaction, it may complement it. Furthermore, ChatGPT already demonstrates empathetic responses to the scenario-based questionnaires without being explicitly prompted to do so.

References

Altmann, T., Schönefeld, V., & Roth, M. (2015). Evaluation of an empathy training program to prevent emotional maladjustment symptoms in social professions. Psychology, 6(14), 1893–1904. https://doi.org/10.4236/psych.2015.614187

Altmann, T., & Roth, M. (2013). The evolution of empathy: From single components to process models. In C. Mohiyeddini, M. Eysenck, & S. Bauer (Eds.), Handbook of psychology of emotions (pp. 171–188). Nova Science Publishers.

Davis, M. H. (1980). A multidimensional approach to individual differences in empathy. Catalog of Selected Documents in Psychology, 10, 85.

Decety, J., & Jackson, P. L. (2004). The functional architecture of human empathy. Behavioral and Cognitive Neuroscience Reviews, 3(2), 71–100. https://doi.org/10.1177/1534582304267187

De Corte, K., Buysse, A., Verhofstadt, L. L., Roeyers, H., Ponnet, K., & Davis, M. H. (2007). Measuring empathic tendencies: Reliability and validity of the Dutch version of the Interpersonal Reactivity Index. Psychologica Belgica, 47(4), 235–260. https://doi.org/10.5334/pb-47-4-235

DiCarlo, G. (2023, February 14). UW study looks at how AI can help people have more empathetic conversations about mental health. Oregon Public Broadcasting. https://www.opb.org/article/2023/02/14/uw-study-looks-at-how-ai-can-help-people-have-more-empathetic-conversations-about-mental-health/

Gilet, A.-L., Mella, N., Studer, J., Grühn, D., & Labouvie-Vief, G. (2013). Assessing dispositional empathy in adults: A French validation of the Interpersonal Reactivity Index (IRI). Canadian Journal of Behavioural Science, 45(1), 42–48. https://doi.org/10.1037/a0030425

Goldman, A. I. (2006). Simulating minds: The philosophy, psychology, and neuroscience of mindreading. Oxford University Press.

Halliday, M. A. K., & Matthiessen, C. M. I. M. (2014). Halliday's introduction to functional grammar (4th ed.). Routledge.

Hoffman, M. L. (2000). Empathy and moral development: Implications for caring and justice. Cambridge University Press. https://doi.org/10.1017/CBO9780511805851

Hoffman, M. L. (2008). Empathy and prosocial behavior. In M. Lewis, J. M. Haviland-Jones, & L. F. Barrett (Eds.), Handbook of emotions (3rd ed., pp. 440–455). Guilford Press.

Konrath, S. H., O’Brien, E. H., & Hsing, C. (2010). Changes in dispositional empathy in American college students over time: A meta-analysis. Personality and Social Psychology Review, 15(2), 180–198. https://doi.org/10.1177/1088868310377395

Preston, S. D., & de Waal, F. B. M. (2002). Empathy: Its ultimate and proximate bases. Behavioral and Brain Sciences, 25(1), 1–20. https://doi.org/10.1017/S0140525X02000018

Rifkin, J. (2009). The empathic civilization: The race to global consciousness in a world in crisis. J.P. Tarcher/Penguin.

Schonert-Reichl, K. A., Smith, V., Zaidman-Zait, A., & Hertzman, C. (2011). Promoting children’s prosocial behaviors in school: Impact of the “Roots of Empathy” program on the social and emotional competence of school-aged children. School Mental Health, 4(1), 1–21. https://doi.org/10.1007/s12310-011-9064-7

Shao, J., Liu, H., Zhang, Y., Zheng, A., Chen, S., & Wang, J. (2024). Development and application of an AI-based empathic language teaching and evaluation system for doctor-patient communication. Chinese General Practice, 27(34), 4315–4321. https://doi.org/10.12114/j.issn.1007-9572.2023.0544

Sharma, A., Lin, I. W., Miner, A. S., et al. (2023). Human–AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support. Nature Machine Intelligence, 5, 46–57. https://doi.org/10.1038/s42256-022-00593-2

Shen, J., DiPaola, D., Ali, S., Sap, M., Park, H. W., Peng, K., Talamantes, D., & Bickmore, T. (2024). Empathy toward artificial intelligence versus human experiences and the role of transparency in mental health and social support chatbot design: Comparative study. JMIR Mental Health, 11, e62679. https://doi.org/10.2196/62679

Teding van Berkhout, E., & Malouff, J. M. (2015). The efficacy of empathy training: A meta-analysis of randomized controlled trials. Journal of Counseling Psychology, 63(1), 32–41. https://doi.org/10.1037/cou0000093

Thomas, N., & Docherty, N. (2025). “Empathy code”: The dangers of automating empathy in business. Business & Society, 1–5. https://doi.org/10.1177/00076503241310142

Van Bommel, T. (2025). The power of empathy in times of crisis and beyond (2nd ed.). Catalyst. https://www.catalyst.org/insights/2021/empathy-work-strategy-crisis

Velasco, E. R., Pedersen, H. S., Skinner, T., & Impact Diabetes B2B Collaboration Group. (2022). Analysis of patient cues in asynchronous health interactions: Pilot study combining empathy appraisal and systemic functional linguistics. JMIR Formative Research, 6(12), e40058. https://doi.org/10.2196/40058

Walther, J. B. (1996). Computer-mediated communication: Impersonal, interpersonal, and hyperpersonal interaction. Communication Research, 23(1), 3–43. https://doi.org/10.1177/009365096023001001

Yu, C.-L., & Chou, T.-L. (2018). A dual route model of empathy: A neurobiological perspective. Frontiers in Psychology, 9, 2212. https://doi.org/10.3389/fpsyg.2018.02212

Downloads

Published

2025-07-10

How to Cite

Schabasser, C. (2025). Unlocking the power of Artificial Intelligence to develop people’s empathetic skills. Proceedings of London International Conferences, (13), 42–69. https://doi.org/10.31039/plic.2025.13.329