Human-AI Partnership: Exploring the Potential for CoEvolutionary Progress

Authors

  • Ranjan Banerjee , Shuvrajit Nath , Shankar Prasad Mitra , Payel Sengupta , Most Mahabuba Islam , Debmalya Mukherjee , Mithun Biswas Author

DOI:

https://doi.org/10.48047/zzwqnd16

Keywords:

Human-AI Collaboration, Human-AI Partnership, Co-evolution, Artificial Intelligence, Collaborative Intelligence, Augmented Intelligence, Human-Computer Interaction, AI Ethics, Future of Work,Technological Evolution, Machine Learning, Deep Learning, AI Development, AI Implementation, AI Impact,Technological Advancement

Abstract

This research explores the burgeoning field of human-artificial intelligence (AI) partnerships, examining the
potential for co-evolutionary progress. Moving beyond the traditional view of AI as a mere tool, this paper
investigates the dynamic interplay between humans and AI, focusing on how each can shape the other's
development and capabilities. We analyze various domains where this collaboration is already taking place,
including scientific discovery, creative arts, and complex problem-solving. The study delves into the
mechanisms through which humans and AI can effectively collaborate, considering factors such as
communication interfaces, shared understanding, and trust. 

Downloads

Download data is not yet available.

Downloads

Published

2025-02-03

Issue

Vol. 54 No. 3 (2025): Year 2025, Volume 54, Issue 3

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

You are free to:

  1. Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
  2. Adapt — remix, transform, and build upon the material for any purpose, even commercially.
  3. The licensor cannot revoke these freedoms as long as you follow the license terms.

Under the following terms:

  1. Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  2. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Notices:

You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .

No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.

How to Cite

Human-AI Partnership: Exploring the Potential for CoEvolutionary Progress (Ranjan Banerjee , Shuvrajit Nath , Shankar Prasad Mitra , Payel Sengupta , Most Mahabuba Islam , Debmalya Mukherjee , Mithun Biswas , Trans.). (2025). Cuestiones De Fisioterapia, 54(3), 4803-4808. https://doi.org/10.48047/zzwqnd16