Human-AI Collaboration: Bridging the Gap for Enhanced Problem Solving

Authors

  • Bhanu Pratap Singh, Neha Pradyumna Bora, Sukhwinder Kaur Bhatia, Gunjan Chhabra, Naveen Gupta, Dhanraj M. Babu

Keywords:

Human-AI, artificial intelligence, collaborative approaches, synergistic partnership, AI technologies.

Abstract

The research article titled "Human-AI Collaboration: Bridging the Gap for Enhanced Problem Solving" delves into the integration of human intelligence and artificial intelligence (AI) to enhance collaborative problem-solving capabilities. Considering the advancing AI landscape, understanding the dynamics and implications of Human-AI collaboration is of paramount importance. This study explores various models and approaches, emphasizing the need for a synergistic partnership that capitalizes on the strengths of both human and AI agents. In a society increasingly dependent on AI for intricate problem-solving, the research aims to provide valuable insights into fostering effective collaboration and optimizing the combined capabilities of human and AI entities across diverse domains. The findings of this study contribute to the ongoing discourse on the role of collaborative approaches in unlocking the full potential of AI technologies.

Downloads

Download data is not yet available.

References

AI-human collaboration can unlock new sources of competitive advantage. (2023, December 13). LSE Business Review.

https://blogs.lse.ac.uk/businessreview/2023/12/12/ai-human-collaboration-can-unlock-new-sources-of-competitive-advantage/

Wilson, H. J. (2019, November 19). How Humans and AI Are Working Together in 1,500 Companies. Harvard Business Review. https://hbr.org/2018/07/ collaborative-intelligence-humans-and-ai-are-joining-forces

Järvelä, S., Nguyen, A., & Hadwin, A. (2023, April 20). Human and artificial intelligence collaboration for socially shared regulation in learning. British Journal of Educational Technology, 54(5), 1057–1076. https://doi.org/10.1111/bjet.13325

Biesuz, N., Camplani, A., Cieri, D., Giangiacomi, N., Gonnella, F., & Peck, A. (2021, April 1). Hog (HDL on git): a collaborative management tool to handle git-based HDL repository. Journal of Instrumentation, 16(04), T04006. https://doi.org/10. 1088/1748-0221/16/04/t04006

X, S. (2023, September 6). “It is time to bring humans back”: Human-AI collaboration improves source search outcomes. https://techxplore.com/news/ 2023-09-humans-human-ai-collaboration-source-outcomes.html

Chi, P. S., & Glänzel, W. (2024, February 5). Two sides of the same coin? Citation obsolescence and impact of different publication types and subject fields. Scientometrics. https://doi.org/10.1007/ s11192-023-04926-9

Conaway, C. (2018, March 8). Solving Complex Social Problems Through Collaboration. Harvard Business Review. https://hbr.org/2015/06/solving-complex-social-problems-through-collaboration

G. (2023, March 21). How important are Collaborations in a Community? https://www. linkedin.com/pulse/how-important-collaborations-community-heygrowzilla

Social Services Innovations: The Case for a Collaborative Approach to Social Work - Social Work Today Magazine. (n.d.). https://www. socialworktoday.com/archive/Fall22p28.shtml

Human-AI Collaboration: A New Era in Software Development. (2023, August 28). Tekki Web Solutions Inc.

https://www. tekkiwebsolutions.com/blog/human-ai-collaboration/

Unlocking the Potential of AI: The Importance, Risks, and Collaborative Efforts. (2024, February 20). https://www.toolify.ai/ai-news/unlocking-the-potential-of-ai-the-importance-risks-and-collaborative-efforts-1517136

Applications of Human-AI Collaboration: Insights from Theory and Practice. (n.d.).

https://scholarspace.manoa.hawaii.edu/collections/94e506fe-d595-468b-9989-4b280d816518

Berretta, S., Tausch, A., Ontrup, G., Gilles, B., Peifer, C., & Kluge, A. (2023, September 29). Defining human-AI teaming the human-centered way: a scoping review and network analysis. Frontiers in Artificial Intelligence, 6. https://doi.org/ 10.3389/frai.2023.1250725

Müller, M., & Weisz, J. D. (2022, June 8). Extending a Human-AI Collaboration Framework with Dynamism and Sociality. https://doi.org/10. 1145/3533406.3533407

Downloads

Published

26.03.2024

How to Cite

Bhanu Pratap Singh. (2024). Human-AI Collaboration: Bridging the Gap for Enhanced Problem Solving. International Journal of Intelligent Systems and Applications in Engineering, 12(21s), 2671 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/5869

Issue

Vol. 12 No. 21s (2024)

Section

Research Article

License

Creative Commons License

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

All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.

IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.