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

Social Foundations of Self IV: Self in Digital Communication01:30

Social Foundations of Self IV: Self in Digital Communication

Since the early 2000s, computer-mediated communication (CMC) has grown rapidly, playing a crucial role in self-development. A key distinction between CMC and real-life interactions is the lack of a physically present partner. This absence makes non-verbal cues such as facial expressions, body language, and paralinguistic signals unavailable in CMC platforms like email, instant messaging, or social media. The lack of these cues can create ambiguity and complicate how feedback is interpreted.The...
Principle of Virtual Work: Problem Solving01:13

Principle of Virtual Work: Problem Solving

The principle of virtual work is an essential concept in the field of mechanics and engineering. This is used to solve problems related to the equilibrium of a structure or system. It is based on the assumption that if a system is in equilibrium, the work done by all the forces during a virtual displacement is zero. This principle is applied by considering virtual displacements of the system and the corresponding work done by internal and external forces.
To apply the principle of virtual work,...
Quantifying Work02:30

Quantifying Work

As a system undergoes a change, its internal energy can change, and energy can be transferred from the system to the surroundings, or from the surroundings to the system.
Radical Formation: Abstraction00:47

Radical Formation: Abstraction

The electron of an atom can be abstracted from a compound by a relatively unstable radical to generate a new radical of relatively greater stability. For example, an initiator which forms radicals by homolysis can abstract a suitable species like a hydrogen atom or a halogen atom from a compound to generate a new radical. This ability of radicals to propagate by abstraction is a crucial feature of radical chain reactions.
Even though homolysis produces radicals, it is different from radical...
Virtual Work01:20

Virtual Work

The principle of virtual work states that if a body is in static and dynamic equilibrium, then the sum of all the virtual work done by all external forces and couple moments for any given virtual displacement must be zero.
In static equilibrium, a body can experience an imaginary or virtual movement, such as displacement or rotation. The virtual work done by a force is equal to the dot product of force and virtual displacement in the direction of the force. When it comes to virtually rotating a...
Social Exchange Theory02:06

Social Exchange Theory

We have discussed why we form relationships, what attracts us to others, and different types of love. But what determines whether we are satisfied with and stay in a relationship? One theory that provides an explanation is social exchange theory. According to social exchange theory, we act as naïve economists in keeping a tally of the ratio of costs and benefits of forming and maintaining a relationship with others (Rusbult & Van Lange, 2003).

You might also read

Related Articles

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

Sort by
Same author

Defining our future with generative AI.

Nature computational science·2024
Same author

The impact of generative artificial intelligence on socioeconomic inequalities and policy making.

PNAS nexus·2024
Same author

Navigating the new normal: Examining coattendance in a hybrid work environment.

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

Characterizing the effects of structural fires on fine particulate matter with a dense sensing network.

Scientific reports·2023
Same author

Neighborhood Composition and Air Pollution in Chicago: Monitoring Inequities With a Dense, Low-Cost Sensing Network, 2021.

American journal of public health·2022
Same author

Author Correction: The effects of remote work on collaboration among information workers.

Nature human behaviour·2021

Related Experiment Videos

AI and the democratization of knowledge work.

Madeleine I G Daepp1, Kiran Tomlinson2, Scott Counts3

  • 1Microsoft Research, Redmond, WA, USA. mdaepp@microsoft.com.

Nature Computational Science
|May 27, 2026
PubMed
Summary

Generative artificial intelligence (AI) is transforming knowledge work, primarily benefiting complex tasks. This study examines AI's role in democratizing knowledge work and addresses social divides.

Related Experiment Videos

Area of Science:

  • Economics
  • Computer Science
  • Sociology

Background:

  • Generative artificial intelligence (AI) is increasingly impacting knowledge workers and knowledge-based economies.
  • Empirical evidence indicates current use of generative AI in the workplace focuses on high-complexity tasks.

Purpose of the Study:

  • To investigate the extent to which generative AI democratizes knowledge work.
  • To identify and describe interventions for mitigating social and place-based disparities in AI adoption.

Main Methods:

  • Literature review on AI adoption in the workplace.
  • Analysis of empirical data on generative AI usage patterns.
  • Exploration of socio-economic factors influencing AI beneficiaries.

Main Results:

  • Generative AI is predominantly utilized for complex knowledge work tasks.
  • The current application of AI raises questions about equitable access and benefits.
  • Social and geographical divides in AI utilization and benefits are evident.

Conclusions:

  • Further research is needed to understand the full impact of AI on the workforce.
  • Technical and social strategies are necessary to ensure equitable distribution of AI benefits.
  • Addressing divides is crucial for inclusive economic growth in the age of AI.