Editorial for the Special Issue on Algorithms in Our Lives

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Dillion D. Tandon N. Gu Y. Gray K. (2023). Can AI language models replace human participants? Trends in Cognitive Sciences, 27(7), 597–600.

Frank M. C. (2023). Baby steps in evaluating the capacities of large language models. PsyArXiv. https://doi.org/10.1038/s44159-023-00211-x

Gigerenzer G. (2023). Psychological AI: Designing algorithms informed by human psychology. Perspectives on Psychological Science. https://doi.org/10.1177/17456916231180597

Gonzalez C. (2023). Building human-like artificial agents: A general cognitive algorithm to emulate human decision making in dynamic environments. Perspectives on Psychological Science. https://doi.org/10.1177/17456916231196766

Grossmann I. Feinberg M. Parker D. C. Christakis N. A. Tetlock P. E. Cunningham W. A. (2023). AI and the transformation of social science research. Science, 380(6650), 1108–1109.

Hertwig R. Herzog S. Kozyreva A. (2023). Blinding to circumvent human biases: Deliberate ignorance in humans, institutions, and machines. Perspectives on Psychological Science. https://doi.org/10.1177/17456916231188052

Jung H. Dai W. Albarracin D. (2023). How social media algorithms shape offline civic participation: A framework of social psychological processes. Perspectives on Psychological Science. https://doi.org/10.1177/17456916231198471

Kleinberg J. Ludwig J. Mullainathan S. Raghavan M. (2023). The inversion problem: Why algorithms should infer mental state and not just predict behavior. Perspectives on Psychological Science. https://doi.org/10.1177/17456916231212138

Lazer D. Swire-Thompson B. Wilson C. (2023). A normative framework for assessing the information curation algorithms of the Internet. Perspectives on Psychological Science. https://doi.org/10.1177/17456916231186779

Lewandowsky S. Robertson R. DiResta R. (2023). Challenges in understanding human-algorithm entanglement during online information consumption. Perspectives on Psychological Science. https://doi.org/10.1177/17456916231180809

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Luke T. J. (2019). Lessons from Pinocchio: Cues to deception may be highly exaggerated. Perspectives on Psychological Science, 14(4), 646–671.

Mellers B. McCoy J. Lu L. Tetlock P. (2023). Humans, algorithms and geopolitical forecasting tournaments: Quantifying uncertainty in hard-to-quantify domains. Perspectives on Psychological Science. https://doi.org/10.1177/17456916231185339

Metzler H. Garcia D. (2023). Social drivers and algorithmic mechanisms on digital media. Perspectives on Psychological Science. https://doi.org/10.1177/17456916231185057

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Osborne M. Omrani A. Dehghani M. (2023). The sins of the parents are to be laid upon the children: Biased humans, biased data, biased models. Perspectives on Psychological Science. https://doi.org/10.1177/17456916231180099

Park E. Gelles-Watnick R. (2023, August 28). Most Americans haven’t used ChatGPT; few think it will have a major impact on their job. Pew Research Center. https://www.pewresearch.org/short-reads/2023/08/28/most-americans-havent-used-chatgpt-few-think-it-will-have-a-major-impact-on-their-job

Pellert M. Lechner C. M. Wagner C. Rammstedt B. Strohmaier M. (2023). AI psychometrics: Assessing the psychological profiles of large language models through psychometric inventories. Perspectives on Psychological Science. https://doi.org/10.1177/17456916231214460

Rathje S. Robertson C. Brady W. Van Bavel J. (2023). People think that social media platforms do (but should not) amplify divisive content. Perspectives on Psychological Science. https://doi.org/10.1177/17456916231190392

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Steyvers M. Kumar A. (2023). Three challenges for AI-assisted decision-making. Perspectives on Psychological Science. https://doi.org/10.1177/17456916231181102

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Yiu E. Kosoy E. Gopnik A. (2023). Transmission versus truth, imitation versus innovation: What children can do that large language and language-and-vision models cannot (yet). Perspectives on Psychological Science. https://doi.org/10.1177/17456916231201401