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Applications of Generative AI and Human-AI Collaboration
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Author(s): J. Krishna Charan (Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India), K. L. Meera (Dayananda Sagar Business Academy, India), P. Sudheer (CVR College of Engineering, India), G. Gopalakrishnan (Sri Balaji University, India), Mohit Sharma (Maharshi Dayanand University, Rohtak, India), P. Selvakumar (Department of Science and Humanities, Nehru Institute of Technology, Coimbatore, India)and T. C. Manjunath (Rajarajeswari College of Engineering, India)
Copyright: 2025
Pages: 18
Source title:
Humans and Generative AI Tools for Collaborative Intelligence
Source Author(s)/Editor(s): Jingyuan Zhao (University of Toronto, Canada), V. Vinoth Kumar (Vellore Institute of Technology, India), Polinpapilinho F. Katina (University of South Carolina Upstate, USA)and Joseph Richards (California State University, Sacramento, USA)
DOI: 10.4018/979-8-3693-8332-2.ch018
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Abstract
This technology ranging from text and images to music and complex simulations., unique instances that are indistinguishable from those created by humans. This capacity has vast implications, literature, scientific research. The effectiveness of human-AI collaboration depends on the ability to balance the strengths and weaknesses of each participant. Therefore, successful collaboration involves leveraging AI to handle data-heavy tasks and provide creative inputs, while humans guide the process with their judgment, intuition, and ethical considerations. This partnership can lead to significant advancements, such as more personalized content creation, enhanced problem-solving capabilities, and innovative solutions to complex challenges. Issues of authorship, originality, and the ethical implications of using AI-generated content need to be addressed. As AI systems become more advanced, determining the boundaries of human and machine contributions becomes increasingly complex.
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