Human–AI Collaboration in Creative and Analytical Tasks

  • Authors

    • Dr. Hiroshi Tanaka Professor, University of Tokyo, Japan. Author
    • Dr. Yuki Nakamura Associate Professor, Kyoto University, Japan. Author

    DOI:

    https://doi.org/10.67228/3071561X/IJIRHT-2023PI5Q5C

    Published 03-05-2023

  • Human–AI Collaboration, Artificial Intelligence, Creative Systems, Analytical Tasks, Hybrid Intelligence, Machine Learning, Decision Support Systems, Human-Centered AI, Cognitive Augmentation, Explainable AI

    Issue

    Vol. 6 No. 1 (2023)

    Section

    Articles

    How to Cite

    [1]
    H. Tanaka and Y. Nakamura, “Human–AI Collaboration in Creative and Analytical Tasks”, IJIRHT, vol. 6, no. 1, pp. 01–12, Mar. 2023, doi: 10.67228/3071561X/IJIRHT-2023PI5Q5C.

  • Abstract

    Human–AI collaboration is transforming creativity and analytical work by combining human cognitive abilities with machine intelligence. This partnership enhances productivity, innovation, and problem-solving efficiency. In creative fields such as art, music, and design, AI supports ideation, prototyping, and refinement, expanding human creativity rather than replacing it. In analytical tasks, AI processes large datasets, identifies patterns, and improves prediction and optimization, while human judgment ensures ethical oversight and accurate interpretation. Despite its benefits, challenges such as trust, bias, lack of transparency, and overdependence on automation remain significant. Effective collaboration requires balancing automation with human control and improving explainability in AI systems. Research shows that Human–AI collaboration can improve performance by 25–60% in terms of efficiency, accuracy, and user satisfaction. Future directions include developing ethical AI, adaptive interfaces, and advanced hybrid intelligence systems.

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