Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

4.4K
An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
4.4K
What is Genetic Engineering?00:49

What is Genetic Engineering?

74.1K
Overview
74.1K
Human Genetics01:28

Human Genetics

561
Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
The complex relationship between genetics and psychology is observable through common biological components such...
561
Cognitivism01:17

Cognitivism

1.4K
Cognitive psychology emerged as a significant field in the mid-20th century. It focused on understanding humans' internal mental processes. This approach emphasizes how people perceive, remember, think, and solve problems—elements critical to human cognition.
Previously dominated by behaviorism, which prioritized observable behaviors and largely ignored mental processes, psychology transformed in the 1950s. Cognitive psychologists argue that understanding how we think and process...
1.4K
Social Scripts02:10

Social Scripts

9.4K
People tend to know what behavior is expected of them in specific, familiar settings. A script is a person’s knowledge about the sequence of events expected in a specific setting (Schank & Abelson, 1977). Essentially, scripts are a particular kind of schema, one containing default values for the features within an event. In the restaurant example, the script's features include the props (e.g., tables, menu, food, and money), the roles to be played (e.g., customer and waiter),...
9.4K
Attribution Theory00:56

Attribution Theory

13.0K
Behavior is a product of both the situation (e.g., cultural influences, social roles, and the presence of bystanders) and of the person (e.g., personality characteristics). Subfields of psychology tend to focus on one influence or behavior over others. Situationism is the view that our behavior and actions are determined by our immediate environment and surroundings. In contrast, dispositionism holds that our behavior is determined by internal factors (Heider, 1958).
13.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

REFORMS: Consensus-based Recommendations for Machine-learning-based Science.

Science advances·2024
Same author

Leveraging AI for democratic discourse: Chat interventions can improve online political conversations at scale.

Proceedings of the National Academy of Sciences of the United States of America·2023
Same author

Perceived gender and political persuasion: a social media field experiment during the 2020 US Democratic presidential primary election.

Scientific reports·2023
Same author

Reducing political polarization in the United States with a mobile chat platform.

Nature human behaviour·2023
Same author

An Online experiment during the 2020 US-Iran crisis shows that exposure to common enemies can increase political polarization.

Scientific reports·2022
Same author

Computational Social Science and Sociology.

Annual review of sociology·2021
Same journal

Chemotactic self-organization captures the dynamics of mammalian hair follicle patterning.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Tomographic imaging of superconducting order using particle-hole interference.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Inhibitory potential of autologous neutralizing antibodies sets quantitative limits on the rebound-competent HIV-1 reservoir.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Inferring epidemiological parameters under an infectious phylogeography model with visitor dynamics.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Analytical modeling for suction cup designs for skin-interfaced wearable devices.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Improving cell-free metabolism through direct integration of artificial respiratory chains.

Proceedings of the National Academy of Sciences of the United States of America·2026
See all related articles

Related Experiment Video

Updated: Jun 26, 2025

Construction of an Improved Multi-Tetrode Hyperdrive for Large-Scale Neural Recording in Behaving Rats
10:04

Construction of an Improved Multi-Tetrode Hyperdrive for Large-Scale Neural Recording in Behaving Rats

Published on: May 9, 2018

11.3K

Can Generative AI improve social science?

Christopher A Bail1,2,3

  • 1Department of Sociology, Duke University, Durham, NC 27708.

Proceedings of the National Academy of Sciences of the United States of America
|May 9, 2024
PubMed
Summary
This summary is machine-generated.

Generative AI can enhance social science research methods like surveys and experiments. However, addressing AI bias and ethical concerns is crucial for reliable, high-quality studies on human behavior.

Keywords:
Generative AIagent-based modelalgorithmic biascomputational social sciencesurvey research

More Related Videos

Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios
07:43

Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios

Published on: August 4, 2023

1.9K
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

547

Related Experiment Videos

Last Updated: Jun 26, 2025

Construction of an Improved Multi-Tetrode Hyperdrive for Large-Scale Neural Recording in Behaving Rats
10:04

Construction of an Improved Multi-Tetrode Hyperdrive for Large-Scale Neural Recording in Behaving Rats

Published on: May 9, 2018

11.3K
Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios
07:43

Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios

Published on: August 4, 2023

1.9K
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

547

Area of Science:

  • Social Science Research
  • Artificial Intelligence

Background:

  • Generative AI (AI) is rapidly transforming industries with human-like outputs.
  • Its impact on social science research remains largely unexplored.
  • Current social science methodologies include survey research, online experiments, and automated content analyses.

Purpose of the Study:

  • To explore the potential benefits of Generative AI in social science research.
  • To identify and examine the limitations and challenges associated with Generative AI in this field.
  • To propose solutions for mitigating these challenges and advancing AI in social science.

Main Methods:

  • Literature review and conceptual analysis of Generative AI capabilities.
  • Examination of potential applications in survey research, online experiments, automated content analysis, and agent-based models.
  • Analysis of limitations including data bias, ethical considerations, replication issues, and environmental impact.

Main Results:

  • Generative AI offers potential improvements for various social science research techniques.
  • Significant challenges exist, including algorithmic bias, ethical dilemmas, and the risk of low-quality research proliferation.
  • Addressing these limitations requires developing open-source infrastructure for AI research in human behavior.

Conclusions:

  • Generative AI presents both opportunities and risks for social science.
  • Mitigating risks necessitates open-source infrastructure to ensure access and quality.
  • Further understanding of social forces guiding human behavior is essential for AI progress.