Trust within human-machine collectives depends on the perceived consensus about cooperative norms

Autor: Kinga Makovi, Anahit Sargsyan, Wendi Li, Jean-François Bonnefon, Talal Rahwan

Publikováno v: Nature Communications, Vol 14, Iss 1, Pp 1-12 (2023)

Abstract With the progress of artificial intelligence and the emergence of global online communities, humans and machines are increasingly participating in mixed collectives in which they can help or hinder each other. Human societies have had thousa

Externí odkaz: https://doaj.org/article/7b727def824043458923bea8a532443e

Unequal treatment toward copartisans versus non-copartisans is reduced when partisanship can be falsified.

Autor: Maria Abascal, Kinga Makovi, Anahit Sargsyan

Publikováno v: PLoS ONE, Vol 16, Iss 1, p e0244651 (2021)

Studies show that Democrats and Republicans treat copartisans better than they do non-copartisans. However, party affiliation is different from other identities associated with unequal treatment. Compared to race or gender, people can more easily fal

Externí odkaz: https://doaj.org/article/60d20946d78241629c064b986dcda24c

Measuring the predictability of life outcomes with a scientific mass collaboration

Autor: Kristin E. Porter, Malte Möser, Flora Wang, Bingyu Zhao, Wei Lee Woon, Yoshihiko Suhara, Adaner Usmani, Erik H. Wang, Kun Jin, Samantha Weissman, William Eggert, Hamidreza Omidvar, Andrew Or, Lisa M Hummel, Gregory Faletto, Ben Sender, Qiankun Niu, Viola Mocz, Antje Kirchner, Catherine Wu, Karen Ouyang, Ian Lundberg, Allison C. Morgan, Abdulla Alhajri, Arvind Narayanan, Khaled AlGhoneim, Louis Raes, Ilana M. Horwitz, Barbara E. Engelhardt, Ben Leizman, Crystal Qian, Drew Altschul, Guanhua He, Jeanne Brooks-Gunn, Ridhi Kashyap, Eaman Jahani, Ryan James Compton, Anna Filippova, Sara McLanahan, Tejomay Gadgil, Claudia V. Roberts, Muna Adem, Julia Wang, Jeremy Freese, Alexander T. Kindel, Daniel E Rigobon, Naijia Liu, Lisa P. Argyle, Mayank Mahajan, Jonathan D Tang, Moritz Hardt, Ethan Porter, Diana Mercado-Garcia, Andrew Halpern-Manners, Anahit Sargsyan, Duncan J. Watts, Alex Pentland, Sonia P Hashim, Dean Knox, Onur Varol, Ryan Amos, James M. Wu, Thomas Davidson, Emma Tsurkov, Bernie Hogan, Areg Karapetyan, William Nowak, Jingwen Yin, Livia Baer-Bositis, Landon Schnabel, Chenyun Zhu, Noah Mandell, Ahmed Musse, Yue Gao, Josh Gagné, Stephen McKay, Jennie E. Brand, Abdullah Almaatouq, Katy M. Pinto, Andrew E Mack, Austin van Loon, Bedoor K. AlShebli, Helge Marahrens, Xiafei Wang, Bryan Schonfeld, Sonia Hausen, Kengran Yang, Maria Wolters, Brandon M. Stewart, Naman Jain, Moritz Büchi, Nicole Bohme Carnegie, Redwane Amin, Caitlin Ahearn, Kirstie Whitaker, Bo-Ryehn Chung, Diana Stanescu, Thomas Schaffner, Patrick Kaminski, David Jurgens, Kivan Polimis, Kimberly Higuera, Zhilin Fan, Matthew J. Salganik, Debanjan Datta, Connor Gilroy, E H Kim, Katariina Mueller-Gastell, Karen Levy, Brian J. Goode, Zhi Wang, Tamkinat Rauf

Publikováno v: PNAS
Proceedings of the National Academy of Sciences of the United States of America (PNAS), 117(15), 8398-8403. NATL ACAD SCIENCES
Proc Natl Acad Sci U S A
Salganik, M J, Lundberg, I, Kindel, A T, Ahearn, C E, Al-ghoneim, K, Almaatouq, A, Altschul, D M, Brand, J E, Carnegie, N B, Compton, R J, Datta, D, Davidson, T, Filippova, A, Gilroy, C, Goode, B J, Jahani, E, Kashyap, R, Kirchner, A, Mckay, S, Morgan, A C, Pentland, A, Polimis, K, Raes, L, Rigobon, D E, Roberts, C V, Stanescu, D M, Suhara, Y, Usmani, A, Wang, E H, Adem, M, Alhajri, A, Alshebli, B, Amin, R, Amos, R B, Argyle, L P, Baer-bositis, L, Büchi, M, Chung, B, Eggert, W, Faletto, G, Fan, Z, Freese, J, Gadgil, T, Gagné, J, Gao, Y, Halpern-manners, A, Hashim, S P, Hausen, S, He, G, Higuera, K, Hogan, B, Horwitz, I M, Hummel, L M, Jain, N, Jin, K, Jurgens, D, Kaminski, P, Karapetyan, A, Kim, E H, Leizman, B, Liu, N, Möser, M, Mack, A E, Mahajan, M, Mandell, N, Marahrens, H, Mercado-garcia, D, Mocz, V, Mueller-gastell, K, Musse, A, Niu, Q, Nowak, W, Omidvar, H, Or, A, Ouyang, K, Pinto, K M, Porter, E, Porter, K E, Qian, C, Rauf, T, Sargsyan, A, Schaffner, T, Schnabel, L, Schonfeld, B, Sender, B, Tang, J D, Tsurkov, E, Van Loon, A, Varol, O, Wang, X, Wang, Z, Wang, J, Wang, F, Weissman, S, Whitaker, K, Wolters, M K, Woon, W L, Wu, J, Wu, C, Yang, K, Yin, J, Zhao, B, Zhu, C, Brooks-gunn, J, Engelhardt, B E, Hardt, M, Knox, D, Levy, K, Narayanan, A, Stewart, B M, Watts, D J & Mclanahan, S 2020, ' Measuring the predictability of life outcomes with a scientific mass collaboration ', Proceedings of the National Academy of Sciences, vol. 117, no. 15, pp. 8398-8403 . https://doi.org/10.1073/pnas.1915006117

© This open access article is distributed under Creative Commons Attribution-NonCommercialNoDerivatives License 4.0 (CC BY-NC-ND). How predictable are life trajectories? We investigated this question with a scientific mass collaboration using the co

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e79e5a0edeb2b5d23585b10ea4b178d
https://doi.org/10.1073/pnas.1915006117