Chiara Longoni

Chiara Longoni is a behavioral scientist and Assistant Professor of Marketing at Boston University Questrom School of Business. Her research explores (i) the social impact of Artificial Intelligence and technology (ii) sustainability, (iii) consumer and societal welfare. Substantively, she specializes in issues related to medical decision making, sustainability in consumer and firm behavior, and messaging to promote consumer and societal well-being. Her work has been published, among others, in the Journal of Consumer Research, the Journal of Marketing Research, the Journal of Marketing, Nature Human Behavior, and Nature Communications. Her work has also been featured in popular press outlets such as The Times, Forbes, Fortune Magazine, and Harvard Business Review, in practitioner outlets such as Infermedica and Artificial Intelligence in Medicine, and podcasts such as Man & Machine and Dividing Into Data.

Education

• PhD, New York University, Leonard Stern School of Business, 2016
• MPhil, New York University, Leonard Stern School of Business, 2015
• MA, New York University, 2011
• MS, Bocconi University, 2005

Research Interests

Artificial Intelligence, Human-Computer Interaction, Medical Decision Making, Sustainability

Selected Publications

• Longoni, C. (In Press). "Social and moral psychology of COVID-19 across 69 countries", Nature Scientific Data
• Longoni, C. (2023). "Do People Believe Generative AI?",
• Longoni, C., Cian, L., Kyung, E. (2022). "Algorithmic Transference: Overgeneralization of failures of artificial intelligence in the government", Journal of Marketing Research
• Longoni, C., Fradkin, A., Cian, L., Pennycook, G. (2022). "News from generative artificial intelligence is believed less", FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency
• Van Bavel, J., Cichocka, A., Capraro, V., Sjåstad, H., Nezlek, J., Pavlovic, T., Alfano, M., Gelfand, M., Azevedo, F., Birtel, M., Cislak, A., Lockwood, P., Ross, R., Abts, K., Agadullina, E., Aruta, J., Besharati, S., Bor, A., Choma, B., Crabtree, C., Cunningham, W., De, K., Ejaz, W., Elbaek, C., Findor, A., Flichtentrei, D., Franc, R., Gjoneska, B., Gruber, J., Gualda, E., Horiuchi, Y., Huynh, T., Ibanez, A., Imran, M., Israelashvili, J., Jasko, K., Kantorowicz, J., Kantorowicz-Reznichenko, E., Krouwel, A., Laakasuo, M., Lamm, C., Leygue, C., Lin, M., Mansoor, M., Marie, A., Mayiwar, L., Mazepus, H., McHugh, C., Minda, J., Mitkidis, P., Olsson, A., Otterbring, T., Packer, D., Perry, A., Petersen, M., Puthillam, A., Riaño-Moreno, J., Rothmund, T., Santamaría-García, H., Schmid, P., Stoyanov, D., Tewari, S., Todosijevic, B., Tsakiris, M., Tung, H., Umbre?, R., Vanags, E., Vlasceanu, M., Vonasch, A., Yucel, M., Zhang, Y., Abad, M., Adler, E., Akrawi, N., Mdarhri, H., Amara, H., Amodio, D., Antazo, B., Apps, M., Ay, F., Ba, M., Barbosa, S., Bastian, B., Berg, A., Bernal-Zárate, M., Bernstein, M., Bialek, M., Bilancini, E., Bogatyreva, N., Boncinelli, L., Booth, J., Borau, S., Buchel, O., Cameron, C., Carvalho, C., Celadin, T., Cerami, C., Chalise, H., Cheng, X., Cian, L., Cockcroft, K., Conway, J., Córdoba-Delgado, M., Crespi, C., Crouzevialle, M., Cutler, J., Cypryanska, M., Dabrowska, J., Daniels, M., Davis, V., Dayley, P., Delouvee, S., Denkovski, O., Dezecache, G., Dhaliwal, N., Diato, A., Di Paolo, R., Drosinou, M., Dulleck, U., Ekmanis, J., Ertan, A., Etienne, T., Farhana, H., Farkhari, F., Farmer, H., Fenwick, A., Fidanovski, K., Flew, T., Fraser, S., Frempong, R., Fugelsang, J., Gale, J., Garcia-Navarro, E., Garladinne, P., Ghajjou, O., Gkinopoulos, T., Gray, K., Griffin, S., Gronfeldt, B., Gümren, M., Gurung, R., Halperin, E., Harris, E., Herzon, V., Hruška, M., Huang, G., Hudecek, M., Isler, O., Jangard, S., Jørgensen, F., Kachanoff, F., Kahn, J., Dangol, A., Keudel, O., Koppel, L., Koverola, M., Kubin, E., Kunnari, A., Kutiyski, Y., Laguna, O., Leota, J., Lermer, E., Levy, J., Levy, N., Li, C., Long, E., Longoni, C., Maglic, M., McCashin, D., Metcalf, A., Mikloušic, I., El Mimouni, S., Miura, A., Molina-Paredes, J., Monroy-Fonseca, C., Morales-Marente, E., Moreau, D., Muda, R., Myer, A., Nash, K., Nesh-Nash, T., Nitschke, J., Nurse, M., Ohtsubo, Y., Oldemburgo de Mello, V., O'Madagain, C., Onderco, M., Palacios-Galvez, M., Palomäki, J., Pan, Y., Papp, Z., Pärnamets, P., Paruzel-Czachura, M., Pavlovic, Z., Payán-Gómez, C., Perander, S., Pitman, M., Prasad, R., Pyrkosz-Pacyna, J., Rathje, S., Raza, A., Rêgo, G., Rhee, K., Robertson, C., Rodríguez-Pascual, I., Saikkonen, T., Salvador-Ginez, O., Sampaio, W., Santi, G., Santiago-Tovar, N., Savage, D., Scheffer, J., Schönegger, P., Schultner, D., Schutte, E., Scott, A., Sharma, M., Sharma, P., Skali, A., Stadelmann, D., Stafford, C., Stanojevic, D., Stefaniak, A., Sternisko, A., Stoica, A., Stoyanova, K., Strickland, B., Sundvall, J., Thomas, J., Tinghög, G., Torgler, B., Traast, I., Tucciarelli, R., Tyrala, M., Ungson, N., Uysal, M., Van Lange, P., van Prooijen, J., van Rooy, D., Västfjäll, D., Verkoeijen, P., Vieira, J., von Sikorski, C., Walker, A., Watermeyer, J., Wetter, E., Whillans, A., Willardt, R., Wohl, M., Wójcik, A., Wu, K., Yamada, Y., Yilmaz, O., Yogeeswaran, K., Ziemer, C., Zwaan, R., Boggio, P. (2022). "National identity predicts public health support during a global pandemic.", Nature Communications, 13 (1), 517-517
• Schweidel, D., Bart, Y., Inman, J., Stephen, A., Libai, B., Andrews, M., Babic Rosario, A., Chae, I., Chen, Z., Kupor, D., Longoni, C., Thomaz, F. (2022). "How consumer digital signals are reshaping the customer journey", Journal of the Academy of Marketing Science 1-20
• Cadario, R., Longoni, C., Morewedge, C. (2021). "Understanding, Explaining, and Utilizing Medical Artificial Intelligence", Nature Human Behaviour, 5 (12), 1636-1642
• Longoni, C., Cadario, R., Morewedge, C. (2021). "For Patients to Trust Medical AI, They Need to Understand It", Harvard Business Review (digital)
• Longoni, C., Cian, L. (2020). "Artificial Intelligence in Utilitarian vs. Hedonic Contexts: The “Word-of- Machine” Effect", Journal of Marketing, 86 (1), 91-108
• Longoni, C., Cian, L. (2020). "When Do We Trust AI’s Recommendations More Than People’s?", Harvard Business Review (digital)
• Longoni, C., Bonezzi, A., Morewedge, C. (2020). "Resistance to medical artificial intelligence is an attribute in a compensatory decision process: response to Pezzo and Becksted (2020)", Judgment and Decision Making, 15 (3)
• Cian, L., Longoni, C., Krishna, A. (2020). "Advertising a Desired Change: When Process Simulation Fosters (vs. Hinders) Credibility and Persuasion", Journal of Marketing Research, 57 (3), 489-508
• Longoni, C., Bonezzi, A., Morewedge, C. (2019). "Resistance To Medical Artificial Intelligence", Journal of Consumer Research, 46 (4), 629-650
• Longoni, C., Morewedge, C. (2019). "AI can outperform doctors. So why don't patients trust it?", Harvard Business Review (digital)
• Longoni, C., Gollwitzer, P., Oettingen, G. (2014). "A Green Paradox: Validating Green Choices Has Ironic Effects on Behavior, Cognition, and Perception", Journal of Experimental Social Psychology, 50 158-165

Selected Research Presentations

• Longoni, C. Algorithmic Transference: People overgeneralize failures of artificial intelligence in the government., University of Alberta, 2023
• Longoni, C. LLMs and moral judgments, The Wharton School, University of Pennsylvania, 2023
• Longoni, C. Algorithmic Transference: People overgeneralize failures of artificial intelligence in the government., Stanford University, 2023
• Longoni, C. Algorithmic Transference: People overgeneralize failures of artificial intelligence in the government., University of Colorado Boulder, 2023
• Longoni, C. Algorithmic Transference: People overgeneralize failures of artificial intelligence in the government., Swiss Academy of Marketing Science, 2023
• Longoni, C. Consumers on the frontlines, Case Western University, 2023
• Longoni, C. Algorithmic transference, Tulane University, 2023
• Longoni, C. New technology, Arizona State University, 2023
• Longoni, C. Algorithmic Transference: People overgeneralize failures of artificial intelligence in the government, London Business School, 2022
• Longoni, C. AI in the government: Responses to failures, Association for Consumer Research, 2022
• Longoni, C. Algorithmic Transference: People overgeneralize failures of artificial intelligence in the government, University of Southern California, 2022
• Longoni, C. Artificial intelligence in the government: Responses to failures and social impact., 2022 ACM Conference on Artificial Intelligence, Ethics, and Society, 2022
• Longoni, C. News from generative artificial intelligence is believed less, 2022 ACM Conference on Fairness, Accountability, and Transparency, 2022
• Longoni, C. Levers of policy and government in digital environments, Marketing and Public Policy Conference, 2022
• Longoni, C. Overgeneralization of failures of artificial intelligence in the government, Bocconi University, 2022
• Longoni, C. AI and patient care, Boston School of Law, 2022
• Longoni, C. Overgeneralization of failures of artificial intelligence in the government, Cornell University, 2022
• Longoni, C. Digital Health: Which Roles for Patients, Professionals and Machines?, 27th Annual Conference on Intelligent User Interfaces (IUI 2022), 2022
• Longoni, C. Artificial intelligence in the government, Society for Consumer Psychology, virtual, 2022
• Longoni, C. Artificial intelligence in the government: Responses to failures and social impact, George Washington University, 2022
• Longoni, C. Artificial intelligence in the government: Responses to failures and social impact, Max Planck Institute for Human Development, 2022
• Longoni, C. Artificial Intelligence in the government: Responses to failures and social impact, Wilfrid Laurier University, 2021
• Longoni, C. Artificial intelligence in marketing and beyond: Interdisciplinary perspectives on the social impact of AI, Association for Consumer Research, 2021
• Longoni, C. Artificial Intelligence in hedonic and utilitarian contexts: the Word-of-Machine effect, Society for Consumer Psychology, 2021
• Longoni, C. News from generative artificial intelligence is believed less, 2022 Association for Computing Machinery Conference on Fairness, Accountability, and Transparency, Seul, Korea

Awards And Honors

• 2022, 2022 Journal of Consumer Research Best Article Award
• 2021, AMA Consumer Behavior Special Interest Group Research-in-Practice Award