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Special Issue Theme: AI and HRD

The coach bots are coming: exploring global coaches’ attitudes and responses to the threat of AI coaching

ORCID Icon, ORCID Icon & ORCID Icon
Pages 597-621 | Received 13 Dec 2023, Accepted 01 Jul 2024, Published online: 30 Jul 2024

References

  • Allemand, M., & Flückiger, C. (2022). Personality change through digital-coaching interventions. Current Directions in Psychological Science, 31(1), 41–48. https://doi.org/10.1177/09637214211067782
  • Allemand, M., Keller, L., Gmür, B., Gehriger, V., Oberholzer, T., & Stieger, M. (2020). MindHike, a digital coaching application to promote self-control: Rationale, content, and study protocol. Frontiers in Psychiatry, 11, 575101. https://doi.org/10.3389/fpsyt.2020.575101
  • Andreas, N. B. (2024). Ethics in international HRD: Examining conversational AI and HR chatbots. Strategic HR Review, 23(3), 121–125. https://doi.org/10.1108/SHR-03-2024-0018
  • APA. (2011). Journal of Applied Psychology: Data Transparency Appendix Examples. American Psychological Association. Retrieved March 24, 2024, from http://www.apa.org/pubs/journals/apl/data-transparency-appendix-example.aspx
  • Barrett, H., & Christian Rose, D. (2020). Perceptions of the fourth agricultural revolution: What’s In, what’s out, and what consequences are anticipated? Sociologia Ruralis, 62(2), 162–189. https://doi.org/10.1111/soru.12324
  • Bayly, B. L., & Bumpus, M. F. (2019). An exploration of engagement and effectiveness of an online values affirmation. Educational Research & Evaluation, 25(5–6), 248–269. https://doi.org/10.1080/13803611.2020.1717542
  • Böhmer, N., & Schinnenburg, H. (2023). Critical Exploration of AI-driven HRM to Build up Organizational Capabilities. Employee Relations, 45(5), 1057–1082. https://doi.org/10.1108/er-04-2022-0202
  • Bracha, H. S., Ralston, T. C., Matsukawa, J. M., Williams, A. E., & Bracha, A. S. (2004). Does ’Fight or Flight’ need updating? Psychosomatics, 45(5), 448–449. https://doi.org/10.1176/appi.psy.45.5.448
  • Brendel, A. B., Mirbabaie, M., Lembcke, T.-B., & Hofeditz, L. (2021). Ethical management of artificial intelligence. Sustainability, 13(4), 1974. https://doi.org/10.3390/su13041974
  • Brown, C., Story, G. W., Mourao-Miranda, J., & Baker, J. T. (2019). Will artificial intelligence eventually replace psychiatrists? British Journal of Psychiatry, 218(3), 131–134. https://doi.org/10.1192/bjp.2019.245
  • Budhwar, P., Malik, A., Silva, M. T. T. D., & Thevisuthan, P. (2022). Artificial intelligence – challenges and opportunities for international hrm: a review and research Agenda. The International Journal of Human Resource Management, 33(6), 1065–1097. https://doi.org/10.1080/09585192.2022.2035161
  • Bughin, J., Seong, J., Manyika, J., Chui, M., & Joshi, R. (2018). Notes from the AI frontier: Modeling the impact of AI on the world economy. McKinsey Global Institute, 4, 1–62. https://www.mckinsey.com/~/media/mckinsey/featured%20insights/artificial%20intelligence/notes%20from%20the%20frontier%20modeling%20the%20impact%20of%20ai%20on%20the%20world%20economy/mgi-notes-from-the-ai-frontier-modeling-the-impact-of-ai-on-the-world-economy-september-2018.pdf
  • Caldwell Sabrina, P. S., O’Donnell, N., Knight, M. J., Aitchison, M., Gegeon, T., & Conroy, D. (2022). An agile new research framework for hybrid human-AI Teaming: Trust, transparency, and transferability. ACM Transactions on Interactive Intelligent Systems (ThiS), 12(3), 1–36. https://doi.org/10.1145/3514257
  • Carver, C. S., & White, T. L. (1994). Behavioral inhibition, behavioral activation, and affective responses to impending reward and punishment: The BIS/BAS scales. Journal of Personality & Social Psychology, 67(2), 319–333. https://doi.org/10.1037/0022-3514.67.2.319
  • Castagno, S., & Khalifa, M. (2020). Perceptions of artificial intelligence among healthcare staff: A qualitative survey study. Frontiers in Artificial Intelligence, 3. https://doi.org/10.3389/frai.2020.578983
  • Chang, Y.-L., & Ke, J. (2024). Socially responsible artificial intelligence empowered people analytics: A novel framework towards sustainability. Human Resource Development Review, 23(1), 88–120. https://doi.org/10.1177/15344843231200930
  • Charlwood, A., & Guenole, N. (2022). Can HR adapt to the paradoxes of artificial intelligence? Human Resource Management Journal, 32(4), 729–742. https://doi.org/10.1111/1748-8583.12433
  • Cohen, G. L., & Sherman, D. K. (2014). The psychology of change: Self-affirmation and social psychological intervention. Annual Review of Psychology, 65, 333–371. https://doi.org/10.1146/annurev-psych-010213-115137
  • Dazeley, R., Vamplew, P., Foale, C., Young, C., Aryal, S., & Cruz, F. (2021). Levels of explainable artificial intelligence for human-aligned conversational explanations. Artificial Intelligence, 299, 103525. https://doi.org/10.1016/j.artint.2021.103525
  • De Haan, E., & Nilsson, V. O. (2023). What can we know about the effectiveness of coaching? A meta-analysis based only on randomized controlled trials. Academy of Management Learning & Education, 1–21. https://doi.org/10.5465/amle.2022.0107
  • Deng, M., Zheng, M., & Guinote, A. (2018). When does power trigger approach motivation? Threats and the role of perceived control in the power domain. Social and Personality Psychology Compass, 12(5), e12390. https://doi.org/10.1111/spc3.12390
  • Diller, S. J. (2024). Ethics in digital and AI coaching. Human Resource Development International, 1–13. https://doi.org/10.1080/13678868.2024.2315928
  • Diller, S. J., Frey, D., & Jonas, E. (2019). Coach me if you can! dark triad clients, their effect on coaches, and how coaches deal with them. Coaching: An International Journal of Theory, Research & Practice, 14(2), 110–126. https://doi.org/10.1080/17521882.2020.1784973
  • Diller, S. J., Hämpke, J., Lo Coco, G., & Jonas, E. (2023). Unveiling the influence of the Italian Mafia as a dark triad threat on individuals’ affective states and the power of defense mechanisms. Scientific Reports, 13, 11986. https://doi.org/10.1038/s41598-023-38597-6
  • Diller, S. J., Muehlberger, C., Braumandl, I., & Jonas, E. (2020). Supporting students with coaching or training depending on their basic psychological needs. International Journal of Mentoring & Coaching in Education, 10(1), 84–100. https://doi.org/10.1108/IJMCE-08-2020-0050
  • Diller, S. J., Mühlberger, C., Loehlau, N., & Jonas, E. (2021). How to show empathy as a coach: The effects of coaches’ imagine-self versus imagine-other empathy on the client’s self-change and coaching outcome. ” Current Psychology, 42(14), 11917–11935. https://doi.org/10.1007/s12144-021-02430-y
  • Diller S. J. & Passmore J. (2023). Defining digital coaching: a qualitative inductive approach. Front. Psychol., 14 10.3389/fpsyg.2023.1148243
  • Diller, S. J., Stollberg, J., & Jonas, E. (2024). Don’t be scared – Be Mindful! Mindfulness Intervention Alleviates Anxiety Following Individual Threat.” Manuscript under review.
  • The Economist. (2023). How artificial intelligence can revolutionise science. The Economist. Retrieved March 24, 2024, from https://www.economist.com/leaders/2023/09/14/how-artificial-intelligence-can-revolutionise-science
  • Ekuma, K. (2024). Artificial intelligence and automation in human resource development: A systematic review. Human Resource Development Review, 23(2), 199–229. https://doi.org/10.1177/15344843231224009
  • Ellis-Brush, K. (2020). Coaching in a Digital Age: Can a Working Alliance Form Between Coachee and Coaching App?” Doctoral diss. Oxford Brookes University. Retrieved March 24, 2024, from https://radar.brookes.ac.uk/radar/file/b03b0fb5-05ba-49ce-a9ef-8d82b64c0005/1/Ellis-Brush2020CoachingDigital.pdf
  • Ellis-Brush, K. (2021). Augmenting coaching practice through digital methods. International Journal of Evidence Based Coaching & Mentoring, 15, 187–197. https://doi.org/10.24384/er2p-4857
  • EMCC Global. (2023). Ethics guidance for providing coaching, mentoring and supervision using technology and AI. Retrieved March 24, 2024, from https://emccdrive.emccglobal.org/api/file/download/u7xOUK5c7JhpjZinckAUW6OoX4kG1Hcq8FSwVnR5
  • Etzioni, A., & Etzioni, O. (2016). AI assisted ethics. Ethics and Information Technology, 2(18), 149–156. https://doi.org/10.1007/s10676-016-9400-6
  • European Parliament. (2023). Artificial Intelligence Act: Deal on comprehensive rules for trustworthy AI. European Parliament. Retrieved March 24, 2024, from https://www.europarl.europa.eu/news/en/press-room/20231206IPR15699/artificial-intelligence-act-deal-on-comprehensive-rules-for-trustworthy-ai
  • Evans, P. (2019). Making an HRD domain: Identity work in an online professional community. Human Resource Development International, 22(2), 116–139. https://doi.org/10.1080/13678868.2018.1564514
  • Fast, E., & Horvitz, E. (2017). Long-term trends in the public perception of Artificial Intelligence. Proceedings of the Aaai Conference on Artificial Intelligence (Vol. 1. pp. 31). https://doi.org/10.1609/aaai.v31i1.10635
  • Fenzl, T., & Mayring, P. (2017). QCAmap: Eine Interaktive Webapplikation für Qualitative Inhaltsanalyse.” [QCAmap: An Interactive Webapplication for Qualitative Content Analysis.] https://www.qcamap.org/ui/de/home
  • Franchina, V., Klackl, J., & Jonas, E. (2023). The reinforcement sensitivity theory affects the questionnaire (RST-AQ). A validation study of a new scale targeting affects related to anxiety, approach motivation, and fear. Current Psychology, 43(6), 5193–5205. https://doi.org/10.1007/s12144-023-04623-z
  • Frazier, P., Keenan, N., Anders, S., Perera, S., Shallcross, S., & Hintz, S. (2011). Perceived past, present, and future control and adjustment to stressful life events. Journal of Personality & Social Psychology, 100(4), 749–765. https://doi.org/10.1037/a0022405
  • Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation? Technological Forecasting & Social Change, 114, 254–280. https://doi.org/10.1016/j.techfore.2016.08.019
  • Goldman, S. (2023). Navigating the AI Era: How can companies unlock long-term strategic value. Goldman Sachs. March 24, 2024. https://www.goldmansachs.com/what-we-do/investment-banking/navigating-the-ai-era/multimedia/report.pdf
  • Grace, K., Salvatier, J., Dafoe, A., Zhang, B., & Evans, O. (2018). Viewpoint: When will ai exceed human performance? evidence from AI experts. The Journal of Artificial Intelligence Research, 62, 729–754. https://doi.org/10.1613/jair.1.11222
  • Grahlow, M., Rupp, C., Derntl, B., & Suslow, T. (2022). The impact of face masks on emotion recognition performance and perception of threat. PLOS ONE, 17(2), e0262840. https://doi.org/10.1371/journal.pone.0262840
  • Grand View Research. (2022). Artificial Intelligence market size, share & trends analysis report by solution, by technology (deep learning, machine learning, natural language processing, machine vision), by end use, by region, and segment forecasts 2022 - 2030. Retrieved March 24, 2024, from https://www.grandviewresearch.com/industry-analysis/artificial-intelligence-ai-market
  • Graßmann, C., & Schermuly, C. C. (2020). Coaching with Artificial Intelligence: Concepts and capabilities. Human Resource Development Review, 20(1), 106–126. https://doi.org/10.1177/1534484320982891
  • Gratch, J. (2014). Virtual humans for interpersonal processes and skills training. AI Matters, 1(2), 24–25. https://doi.org/10.1145/2685328.2685336
  • Grover, S., Furnham, A., & Aidman, E. V. (2016). Coaching as a developmental intervention in organisations: A systematic review of its effectiveness and the mechanisms underlying it. PLOS ONE, 11(7), e0159137. https://doi.org/10.1371/journal.pone.0159137
  • Gurkaynak, G., Yilmaz, I., & Haksever, G. (2016). Stifling Artificial Intelligence: Human perils. Computer Law & Security Review, 32(5), 749–758.
  • Hartung, F.-M., Thieme, P., Wild-Wall, N., & Hell, B. (2022). Being snoopy and smart. Journal of Individual Differences, 43(4), 194–205. https://doi.org/10.1027/1614-0001/a000372
  • Hassoon, A., Braig, Y., Naiman, D. Q., Celentano, D. D., Lansey, D., Stearns, V., & Coresh, J., (2021). Randomized trial of two artificial intelligence coaching interventions to increase physical activity in cancer survivors. NPJ Digital Medicine, 4, 168. https://doi.org/10.1038/s41746-021-00539-9
  • Hermansyah, M., Najib, A., Farida, A., Sacipto, R., & Rintyarna, B. (2023). Artificial intelligence and ethics: Building an Artificial Intelligence system that ensures privacy and social justice. International Journal of Science and Society, 1(5), 154–168. https://doi.org/10.54783/ijsoc.v5i1.644
  • Herrmann, T., & Pfeiffer, S. (2023). Keeping the organization in the loop: A socio-technical extension of human-centered artificial intelligence. AI & Society, 38(4), 1523–1542. https://doi.org/10.1007/s00146-022-01391-5
  • Hirsh, J. B., Galinsky, A. D., & Zhong, C.-B. (2011). Drunk, Powerful, and in the Dark. Perspectives on Psychological Science, 6(5), 415–427. https://doi.org/10.1177/1745691611416992
  • Holstein, K., Aleven, V., & Rummel, N. (2020). A Conceptual Framework for human–AI hybrid adaptivity in education. Artificial Intelligence in Education: 21st International ConferenceProceedings, July 6-10, 2020, Ifrane, Morocco (pp. 240–254). Springer International Publishing. https://doi.org/10.1007/978-3-030-52237-7
  • ICF. (2021). The value of artificial intelligence coaching standards. International Coaching Federation. Retrieved March 24, 2024, from https://coachingfederation.org/app/uploads/2021/08/The-Value-of-Artificial-Intelligence-Coaching-Standards_Whitepaper.pdf
  • JOB. (2020). Journal of Organizational Behavior: Author Guidelines. Retrieved March 24, 2024, from http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1099-1379/homepage/ForAuthors.html
  • Johnson, B. A. M., Coggburn, J. D., & James Llorens, J. (2022). Artificial intelligence and public human resource management: Questions for research and practice. Public Personnel Management, 51(4), 538–562. https://doi.org/10.1177/0091026022112649
  • Jonas, E., McGregor, I., Klackl, J., Agroskin, D., Fritsche, I., Holbrook, C., Nash, K., Proulx, T., & Quirin, M. (2014). Threat and defense: From anxiety to approach. In Advances in Experimental Social Psychology (Vol. 49, pp. 219–286). Elsevier Academic Press. https://doi.org/10.1016/B978-0-12-800052-6.00004-4
  • Jussupow, E., Spohrer, K., & Heinzl, A. (2022). Identity threats as a reason for resistance to artificial intelligence: Survey study with medical students and professionals. JMIR Formative Research, 6(3), e28750. https://doi.org/10.2196/28750
  • Kashdan, T. B., Sherman, R. A., Yarbro, J., & Funder, D. C. (2013). How are curious people viewed and how do they behave in social situations? From the perspectives of self, friends, parents, and unacquainted observers. Journal of Personality, 81(2), 142–154. https://doi.org/10.1111/j.1467-6494.2012.00796.x
  • Kashefi, A., Abbott, P., & Ayoung, A. (2015). User it adaptation behaviors: what have we learned and why does it matter?. AMCIS 2015 Proceedings (pp. 12). Retrieved March 24, 2024, from https://aisel.aisnet.org/amcis2015/EndUser/GeneralPresentations/12
  • Kawakami, A., Sivaraman, V., Cheng, H.-F., Stapleton, L., Cheng, Y., Qing, D., & Perer, A., et al. (2022). Improving human-AI partnerships in child welfare: Understanding worker practices, challenges, and desires for algorithmic decision support. Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI’22). Association for Computing Machinery (Vol. 52. pp. 1–18, New York, NY, USA. https://doi.org/10.1145/3491102.3517439
  • Kettunen, E., Kari, T., & Frank, L. (2022). Digital coaching motivating young elderly people towards physical activity. Sustainability, 14(13), 7718. https://doi.org/10.3390/su14137718
  • Khandii, O. (2019). Social threats in the digitalization of economy and society. SHS web of conferences, Fifteenth Scientific and Practical International Conference “International Transport Infrastructure, Industrial Centers and Corporate Logistics” (NTI-UkrSURT 2019), 6-8 June 2019 Kharkiv, Ukraine (Vol. 67). EDP Sciences. https://doi.org/10.1051/shsconf/20196706023
  • Kim, S. (2022). Working with robots: Human resource development considerations in human–robot interaction. Human Resource Development Review, 21(1), 48–74. https://doi.org/10.1177/15344843211068810
  • Kinnula, M., Iivari, N., Sharma, S., Eden, G., Turunen, M., Achuthan, K., Nedungadi, P., Avellan, T., Thankachan, B., & Tulaskar, R. (2021). Researchers’ toolbox for the future: Understanding and designing accessible and inclusive artificial intelligence (AIAI). Proceedings of the 24th International Academic Mindtrek Conference (Academic Mindtrek ’24). Association for Computing Machinery (pp. 1–4 New York, NY, USA. https://doi.org/10.1145/3464327.3464965
  • Köchling, A., Riazy, S., Claus Wehner, M., & Simbeck, K. (2021). Highly accurate, but still discriminatory: A fairness evaluation of algorithmic video analysis in the recruitment context. Business & Information Systems Engineering, 63(1), 39–54. https://doi.org/10.1007/s12599-020-00673-w
  • König, A., Laura, A., & Tally, H. (2022). The impact of subjective technology adaptivity on the willingness of persons with disabilities to use emerging assistive technologies: a european perspective. In K. Miesenberger, G. Kouroupetroglou, K. Mavrou, R. Manduchi, M. Covarrubias Rodriguez, & P. Penáz (Eds.), Computers helping people with special needs. icchp-aaate 2022. lecture notes in computer science (Vol. 13341, pp. 207–214). Springer. https://doi.org/10.1007/978-3-031-08648-9_24
  • Kwak, Y., Ahn, J.-W., & Hee Seo, Y. (2022). Influence of AI Ethics Awareness, Attitude, Anxiety, and Self-Efficacy on Nursing Students’ Behavioral Intentions. BMC Nursing, 21, 1. https://doi.org/10.1186/s12912-022-01048-0
  • Lanz, L., Briker, R., & Gerpott, F. H. (2023). Employees adhere more to unethical instructions from human than AI supervisors: Complementing experimental evidence with machine learning. Journal of Business Ethics, 189(3), 625–646. https://doi.org/10.1007/s10551-023-05393-1
  • Liang, H., & Xue, Y. (2010). Understanding security behaviors in personal computer usage: A Threat avoidance perspective. Journal of the Association for Information Systems, 11(7), 394–413. https://doi.org/10.17705/1jais.00232
  • Linshi, J. (2015). Ashley madison data leak exposes reckless work email use. Times. Retrieved June 24, 2024, from https://time.com/4003135/ashley-madison-email-hack/
  • Lukkien, D., Herman Nap, H., Buimer, H., Peine, A., Boon, W., Ket, H., & Minkman, M., (2021). Toward responsible artificial intelligence in long-term care: A scoping review on practical approaches. The Gerontologist, 63(1), 155–168. https://doi.org/10.1093/geront/gnab180
  • Luo, X., Shaojun Qin, M., Fang, Z., & Qu, Z. (2020). Artificial Intelligence coaches for sales agents: caveats and solutions. Journal of Marketing, 85(2), 14–32. https://doi.org/10.1177/0022242920956676
  • Mai, V., Neef, C., & Richert, A. (2022). ’Clicking vs. Writing’—the impact of a chatbot’s interaction method on the working alliance in ai-based coaching. Coaching Theorie Und Praxis, 8(1), 15–31. https://doi.org/10.1365/s40896-021-00063-3
  • Mao, A. Y., Chen, C., Magaña, C., Caballero Barajas, K., & Nwando Olayiwola, J. (2017). A mobile phone-based health coaching intervention for weight loss and blood pressure reduction in a national payer population: A retrospective study. JMIR mHealth and uHealth, 5(6), e80. https://doi.org/10.2196/mhealth.7591
  • Michael, L. (2019). Machine coaching. Proceedings of the IJCAI 2019 Workshop on Explainable Artificial Intelligence (XAI), 11 August 2019, Macau, China (pp. 80–86).
  • Milad, M., Brünker, F., Nicholas, R. J., Möllmann Frick, N., & Stieglitz, S. (2021). The rise of artificial intelligence – understanding the AI identity threat at the workplace. Electronic Markets, 32(1), 73–99. https://doi.org/10.1007/s12525-021-00496-x
  • Mirisola, A., Roccato, M., Russo, S., Spagna, G., & Vieno, A. (2013). Societal threat to safety, compensatory control, and right-wing authoritarianism. Political Psychology, 35(6), 795–812. https://doi.org/10.1111/pops.12048
  • Mirjam, S., Flückiger, C., Rüegger, D., Kowatsch, T., Roberts, B. W., & Allemand, M. (2021). Changing personality traits with the help of a digital personality change intervention. Proceedings of the National Academy of Sciences, 118(8), e2017548118. https://doi.org/10.1073/pnas.2017548118
  • Moczuk, E., & Płoszajczak, B. (2020). Artificial Intelligence – benefits and threats for society. Humanities and Social Sciences Quarterly, 27(2), 133–139. https://doi.org/10.7862/rz.2020.hss.22
  • Mühlberger, C., Klackl, J., Sittenthaler, S., & Jonas, E. (2020). The approach-motivational nature of reactance—evidence from asymmetrical frontal cortical activation. Motivation Science, 6(3), 203–220. https://doi.org/10.1037/mot0000152
  • Mustafaj, M., Madrigal, G., Roden, J., & Ploger, G. (2021). Physiological threat sensitivity predicts anti-immigrant attitudes. Politics and the Life Sciences, 41(1), 1–13. https://doi.org/10.1017/pls.2021.11
  • Nakamura, S., Darasawang, P., & Reinders, H. (2022). A classroom-based study on the antecedents of epistemic curiosity in l2 learning. Journal of Psycholinguistic Research, 51, 293–308. https://doi.org/10.1007/s10936-022-09839-x
  • Nath, R., & Sahu, V. (2020). The problem of machine ethics in artificial intelligence. AI & Amp; Society, 35(1), 103–111. https://doi.org/10.1007/s00146-017-0768-6
  • Nitiéma, P. (2023). Artificial Intelligence in medicine: Text mining of health care workers’ opinions. Journal of Medical Internet Research, 25, e41138. https://doi.org/10.2196/41138
  • Nuseir, M. T., Al Kurdi, B. H., Alshurideh, M. T., & Alzoubi, H. M. (2021). Gender discrimination at workplace: Do Artificial Intelligence (AI) and Machine Learning (ML) have opinions about it. Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021) (pp. 301–316). Springer International Publishing. https://doi.org/10.1007/978-3-030-76346-6_28, Eds. A. E. Hassanien, A. Haqiq, P. J. Tonellato, L. Bellatreche, S. Goundar, A. T. Azar, E. Sabir, & D. Bouzidi.
  • Okunlaya, R. O., Syed Abdullah, N., & Alinda Alias, R. (2022). Artificial Intelligence (AI) library services innovative conceptual framework for the digital transformation of University education. Library Hi Tech, 40(6), 1869–1892. https://doi.org/10.1108/lht-07-2021-0242
  • Oliveira, G., Uceda, S., Oliveira, T., Fernandes, A., Garcia-Marques, T., & Oliveira, R. (2013). Threat perception and familiarity moderate the androgen response to competition in women. Frontiers in Psychology, 4, 4. https://doi.org/10.3389/fpsyg.2013.00389
  • Onraet, E., & Van Hiel, A. (2013). When threat to society becomes a threat to oneself: implications for right-wing attitudes and ethnic prejudice. International Journal of Psychology, 48(1), 25–34. https://doi.org/10.1080/00207594.2012.701747
  • Pandya, S. S., & Wang, J. (2024). Artificial Intelligence in Career Development: A Scoping Review. Human Resource Development International, 27(3), 324–344. https://doi.org/10.1080/13678868.2024.2336881
  • Pareira, U., Giovana, W. D. L. M., & de Oliveira, M. Z. (2022). Organizational learning culture in industry 4.0: Relationships with work engagement and turnover intention. Human Resource Development International, 25(5), 557–577. https://doi.org/10.1080/13678868.2021.1976020
  • Park, Y. C., & Pyszczynski, T. (2019). Reducing defensive responses to thoughts of death: Meditation, mindfulness, and Buddhism. Journal of Personality & Social Psychology, 116(1), 101–118. https://doi.org/10.1037/pspp0000163
  • Passmore, J., Diller, S. J., Isaacson, S., & Brantl, M. (2024). The digital & AI coaches’ handbook: The complete guide to the use of online, AI, and technology in coaching. Routledge.
  • Passmore, J., & Oades, L. (2014). Positive psychology coaching: A model for coaching practice. The Coaching Psychologist, 10(2), 68–70. https://doi.org/10.1002/9781119835714.ch46
  • Passmore, J., & Oades, L. (2015). Positive psychology coaching techniques: random acts of kindness, consistent acts of kindness & empathy. The Coaching Psychologist, 11(2), 90–92. https://doi.org/10.1002/9781119835714.ch49
  • Passmore, J., Saraeva, A., Money, K., & Diller, S. J. (2024). Trends in digital and ai coaching: executive report”. Henley Business School and EMCC International. Retrieved March 24, 2024, from https://www.jonathanpassmore.com/technical-reports/future-trends-in-digital-ai-coaching-executive-report
  • Passmore, J., & Tee, D. (2023a). Can chatbots replace human coaches: Issues and dilemmas for the coaching profession, coaching clients and for organisations. The Coaching Psychologist, 19(1), 47–54. https://doi.org/10.53841/bpstcp.2023.19.1.47
  • Passmore, J., & Tee, D. (2023b). The library of babel: Assessing the powers of artificial intelligence in coaching conversations and knowledge synthesis. Journal of Work Applied Management, 16(1), 4–18. https://doi.org/10.1108/JWAM-06-2023-0057
  • Passmore, J., & Woodward, W. (2023). Coaching education: Wake up to the new digital and AI coaching revolution! International Coaching Psychology Review, 18(1), 58–72. https://doi.org/10.53841/bpsicpr.2023.18.1.58
  • Pérez-Fuentes, M. D. C., Del Mar Molero Jurado, M., Martínez, Á., Linares, J., & Moran, J. M. (2020). Threat of Covid-19 and emotional state during Quarantine: positive and negative affect as mediators in a cross-sectional study of the spanish population. PLOS ONE, 15(6), e0235305. https://doi.org/10.1371/journal.pone.0235305
  • Petrini, L., & Arendt-Nielsen, L. (2020). Understanding pain catastrophizing: putting pieces together. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.603420
  • Poppelaars, E. S., Klackl, J., Scheepers, D. T., Mühlberger, C., & Jonas, E. (2020). Reflecting on existential threats elicits self-reported negative affect but no physiological arousal. Frontiers in Psychology, 11, 962. https://doi.org/10.3389/fpsyg.2020.00962
  • Price, W. N., Gerke, S., & Cohen, I. G. (2019). Potential liability for physicians using Artificial Intelligence. JAMA, 322(18), 1765. https://doi.org/10.1001/jama.2019.15064
  • Querci, I., Barbarossa, C., Romani, S., & Ricotta, F. (2022). Explaining how algorithms work reduces consumers’ concerns regarding the collection of personal data and promotes AI technology adoption. Psychology & Marketing, 39(10), 1888–1901. https://doi.org/10.1002/mar.21705
  • Rai, A., Constantinides, P., & Sarker, S. (2019). Next-generation digital platforms: Toward human-AI hybrids. Management Information System Quarterly, 43(1), iii–ix.
  • Raisch, S., & Fomina, K. (2024). Combining human and artificial intelligence: Hybrid problem-solving in organizations. Academy of Management Review. https://doi.org/10.5465/amr.2021.0421
  • Reio, T. G., Jr., & Wiswell, A. (2000). Field investigation of the relationship among adult curiosity, workplace learning, and job performance. Human Resource Development Quarterly, 11(1), 5–30.
  • Reiss, S., Prentice, L., Schulte-Cloos, C., & Jonas, E. (2019). Organizational change as threat – from implicit anxiety to approach through procedural justice. Gruppe Interaktion Organisation Zeitschrift für Angewandte Organisationspsychologie (GIO), 50(2), 145–161. https://doi.org/10.1007/s11612-019-00469-x
  • Riek, B. M., Mania, E. W., & Gaertner, S. L. (2006). Intergroup threat and outgroup attitudes: A meta-analytic review. Personality and Social Psychology Review, 4(10), 336–353. https://doi.org/10.1207/s15327957pspr1004_4
  • Rowe, J. P., & Lester, J. C. (2020). Artificial Intelligence for personalized preventive adolescent healthcare. Journal of Adolescent Health, 67(2), 52–58. https://doi.org/10.1016/j.jadohealth.2020.02.021
  • Sajtos, L., Wang, S., Roy, S., & Flavián, C. (2024). Guest editorial: Collaborating and sharing with AI: A research agenda. Journal of Service Theory & Practice, 34(1), 1–6. https://doi.org/10.1108/JSTP-01-2024-324
  • Schiemann, S. J., Mühlberger, C., Schoorman, D. F., & Jonas, E. (2019). Trust me, i am a caring coach: The benefits of establishing trustworthiness during coaching by communicating benevolence. Journal of Trust Research, 9(2), 164–184. https://doi.org/10.1080/21515581.2019.1650751
  • Schmidt, H. G., & Rotgans, J. I. (2021). Epistemic curiosity and situational interest: Distant cousins or identical twins? Educational Psychology Review, 33(1), 325–352. https://doi.org/10.1007/s10648-020-09539-9
  • Shapiro, J. R., Williams, A. M., & Hambarchyan, M. (2013). Are all interventions created equal? A multi-threat approach to tailoring stereotype threat interventions. Journal of Personality & Social Psychology, 104(2), 277–288. https://doi.org/10.1037/a0030461
  • Sharma, M., Rani Chaudhary, P., Mudgal, A., Nautiyal, A., & Tangri, S. (2023). Review on Artificial Intelligence in medicine. Journal of Young Pharmacists, 15(1), 01–06. https://doi.org/10.5530/097515050514
  • Shih, E., Aylward, B. S., Kunkle, S., & Graziani, G. (2022). Association between care modality and use with treatment response among members accessing virtual mental health services: Real-world observational study. JMIR Formative Research, 6(7), e36956. https://doi.org/10.2196/36956
  • Shuman, E., Hebel-Sela, S., Zipris, I., Hasson, Y., Hameiri, B., & Halperin, E. (2022). Advancing support for intergroup equality via a self-affirmation campaign. Group Processes and Intergroup Relations, 26(8), 1888–1908. https://doi.org/10.1177/13684302221128505
  • SimanTov-Nachlieli, I., Shnabel, N., Lisa Aydin, A., & Ullrich, J. (2018). Agents of prosociality: Agency affirmation promotes mutual prosocial tendencies and behavior among conflicting groups. Political Psychology, 39(2), 445–463. https://doi.org/10.1111/pops.12418
  • Singh, R., Agarwal, A., Singh, M., Nagpal, S., & Vatsa, M. (2020). On the robustness of face recognition algorithms against attacks and bias. Proceedings of the AAAI Conference on Artificial Intelligence, 34(9), 13583–13589. https://doi.org/10.1609/aaai.v34i09.7085
  • Sparacio A., IJzerman, H., Ropovik, I., Giorgini F., Spiessens, C., Uchino, B. N., Landvatter, J., Tacana, T., Diller, SJ., Derrick, JL., Segundo, J., Pierce, JD., Ross, RM., Francis, Z., LaBoucane, A., Ma-Kellams, C., Ford, MB., Schmidt, K., Wong, CC., … Jiga-Boy, GM. (2024). Self-administered mindfulness interventions reduce stress in a large, randomized controlled multi-site study. Nature Human Behavior. https://doi.org/10.1038/s41562-024-01907-7
  • Spence, A., Poortinga, W., & Pidgeon, N. (2011). The psychological distance of climate change. Risk Analysis, 32(6), 957–972. https://doi.org/10.1111/j.1539-6924.2011.01695.x
  • Stai, B., Heller, N., McSweeney, S., Rickman, J., Blake, P., Vasdev, R., & Edgerton, Z., (2020). Public perceptions of Artificial Intelligence and robotics in medicine. Journal of Endourology, 10(34), 1041–1048. https://doi.org/10.1089/end.2020.0137
  • Statista. (2024). Artificial Intelligence (AI) worldwide – statistics & facts. Retrieved June 22, 2024, from https://www.statista.com/topics/3104/artificial-intelligence-ai-worldwide/#statisticChapter
  • Stein, N., & Brooks, K. (2017). A fully automated conversational artificial intelligence for weight loss: Longitudinal observational study among overweight and obese adults. JMIR Diabetes, 2(2), e28–e28. https://doi.org/10.2196/diabetes.8590
  • Štemberger, T., & Čotar Konrad, S. (2021). Attitudes Towards using digital technologies in education as an important factor in developing digital competence: The case of slovenian student teachers. International Journal of Emerging Technologies in Learning (Ijet), 16(14), 83. https://doi.org/10.3991/ijet.v16i14.22649
  • Stephens, T. N., Joerin, A., Rauws, M., & Werk, L. N. (2019). Feasibility of pediatric obesity and prediabetes treatment support through tess, the AI behavioral coaching chatbot. Translational Behavioral Medicine, 9(3), 440–447. https://doi.org/10.1093/tbm/ibz043
  • Su, Z., Togay, G., & Côté, A.-M. (2020). Artificial Intelligence: A destructive and yet creative force in the skilled labour market. Human Resource Development International, 24(3), 341–352. https://doi.org/10.1080/13678868.2020.1818513
  • Suler, J. (2015). The disinhibited self. In Psychology of the Digital Age: Humans Become Electric (pp. 95–111). Cambridge University Press. https://doi.org/10.1017/CBO9781316424070.007
  • Suler, J. R. (2004). The online disinhibition effect. CyberPsychology & Behavior, 7(1), 321–326. https://doi.org/10.1089/1094931041291295
  • Syeda, H. B., Syed, M., Sexton, K. W., Syed, S., Begum, S., Syed, F., & Prior, F., (2021). Role of machine learning techniques to tackle the Covid-19 Crisis: Systematic review. JMIR Medical Informatics, 9(1), e23811. https://doi.org/10.2196/23811
  • Tambe, P., Cappelli, P., & Yakubovich, V. (2019). Artificial intelligence in human resources management: Challenges and a path forward. California Management Review, 61(4), 15–42. https://doi.org/10.1177/0008125619867910
  • Terblanche, N., & Cilliers, D. (2020). Factors that influence users’ adoption of being coached by an artificial intelligence coach. Philosophy of Coaching: An International Journal, 5. https://doi.org/10.22316/poc/05.1.06
  • Terblanche, N., Molyn, J., Haan, E., & Nilsson, V. O. (2022). Comparing artificial intelligence and human coaching goal attainment efficacy. PLOS ONE, 17(6), e0270255. https://doi.org/10.1371/journal.pone.0270255
  • Thompson, A. D. (2024). Alan’s conservative countdown to AGI. LifeArchitect.ai. Retrieved May 4, 2024, from https://lifearchitect.ai/agi/
  • Toni, S., Johns, M., & Forbes, C. E. (2008). An integrated process model of stereotype threat effects on performance. Psychological Review, 115(2), 336–356. https://doi.org/10.1037/0033-295x.115.2.336
  • Tornivuori, A., Tuominen, O., Salanterä, S., & Kosola, S. (2020). A systematic review on randomized controlled trials: Coaching elements of digital services to support chronically ill adolescents during transition of care. Journal of Advanced Nursing, 76(6), 1293–1306. https://doi.org/10.1111/jan.14323
  • Torraco, R. J., & Lundgren, H. (2020). What HRD is doing—what HRD should be doing: The case for transforming HRD. Human Resource Development Review, 19(1), 39–65.
  • Tropea, P., Schlieter, H., Sterpi, I., Judica, E., Gand, K., Caprino, M., & Gabilondo, I., (2019). Rehabilitation, the great absentee of virtual coaching in medical care: Scoping review. Journal of Medical Internet Research, 21(10), e12805. https://doi.org/10.2196/12805
  • Tyre, M. J., & Orlikowski, W. J. (1994). Windows of opportunity: Temporal patterns of technological adaptation in organizations. Organization Science, 1) 5, 98–118. https://doi.org/10.1287/orsc.5.1.98
  • Ulfert, A.-S., Le Blanc, P., González-Romá, V., Grote, G., & Langer, M. (2024). Are we ahead of the trend or just following? The role of work and organizational psychology in shaping emerging technologies at work. European Journal of Work & Organizational Psychology, 33(2), 120–129. https://doi.org/10.1080/1359432X.2024.2324934
  • Usman, M., Liu, Y., Mehmood, Q., & Ghani, U. (2023). Does employee work-related curiosity predict workplace thriving? The moderating role of core-self evaluations. Evidence-Based HRM, 11(4), 611–627. https://doi.org/10.1108/EBHRM-07-2022-0164
  • Vogl, E., Pekrun, R., Murayama, K., & Loderer, K. (2020). Surprised–curious–confused: Epistemic emotions and knowledge exploration. Emotion, 20(4), 625–641. https://doi.org/10.1037/emo0000578
  • Wang, J., & Pashmforoosh, R. (2024). A new framework for ethical Artificial Intelligence: Keeping HRD in the loop. Human Resource Development International, 27(3), 428–451. https://doi.org/10.1080/13678868.2024.2346492
  • Watkins, R., & Human, S. (2022). Needs-aware Artificial Intelligence: AI that ‘serves [Human] Needs. AI and Ethics, 3(1), 49–52. https://doi.org/10.1007/s43681-022-00181-5
  • Watson, D., Anna Clark, L., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: The panas scales. Journal of Personality & Social Psychology, 54(6), 1063–1070. https://doi.org/10.1037/0022-3514.54.6.1063
  • Wissing, B. G., & Reinhard, M.-A. (2018). Individual differences in risk perception of Artificial Intelligence. Swiss Journal of Psychology, 4(77), 149–157. https://doi.org/10.1024/1421-0185/a000214
  • Xiang, C. (2023). Man dies by suicide after talking with ai chatbot widow says. Vice. Retrieved March 24, 2024, from https://www.vice.com/en/article/pkadgm/man-dies-by-suicide-after-talking-with-ai-chatbot-widow-says
  • Yu, L., Li, Y., & Fan, F. (2023). Employees’ appraisals and trust of artificial intelligences’ transparency and opacity. Behavioral Sciences, 13(4), 344. https://doi.org/10.3390/bs13040344
  • Zhou, Y., Shi, Y., Lu, W., & Wan, F. (2022). Did Artificial Intelligence invade humans? The study on the mechanism of patients’ willingness to accept artificial intelligence medical care: From the Perspective of Intergroup Threat Theory. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.866124