Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Survey of Literature on Various Hybrid Intelligence Approaches in AuI

Author : Prakruthi H R 1 Prerana H A 2 Lisha Ponnamma 3 Rakshana M 4 N Vishal Krishna Bhat 5 Meghashyam S Yambari 6 Dr. Anusha Preetham 7

Date of Publication :21st October 2022

Abstract: To enhance benefits while minimising flaws, Augmented Intelligence combines Artificial Intelligence and Human Intelligence. When human and device capabilities are integrated, efficiency is improved when compared to independent HI and AI techniques. We give a review of the literature to see how AuI has been used in the past, including the functions of HI and AI, AI techniques, characteristics, and operations. We present a check of expert analysis to answer four main concerns to understand the experts' suggestions on AuI, including a) the description of AuI and importance of HI with AuI b) human intelligence in AuI’s functions c) AuI's present and future operations in industry, research, and the general public, and also its benefits and drawbacks.

Reference :

    1. V.G.Cerf,”AuI,’’IEEE Internet Comput., vol. 17, no. 5, p. 96, Sep. 2013.
    2. Gupta, M. T. Lash, and S. K. Nachimuthu, ‘‘Optimal sepsis patient treatment using human-in- the-loop artificial intelligence,’’ Expert Syst. Appl., vol. 169, pp. 1–14, May 2021.
    3. Hebbar, ‘‘Augmented intelligence: Enhancing human capabilities,’’ in Proc. 3rd Int. Conf. Res. Comput. Intell. Commun. Netw. (ICRCICN), Kolkata, India, Nov. 2017, pp. 251– 254.
    4. D. Boneh, A. J. Grotto, P. McDaniel, and N. Papernot, ‘‘How relevant is the Turing test in the age of sophists?’’ IEEE Secur. Privacy, vol. 17, no. 6, pp. 64–71, Nov. 2019.
    5. D. C. Hague, ‘‘Benefits, pitfalls, and potential bias in health care AI,’’ North Carolina Med. J., vol. 80, no. 4, pp. 219–223, Jul. 2019.
    6. D. Prelec, ‘‘The probability weighting function,’’ Econometrica, vol. 66, no. 3, pp. 497– 527, May 1998

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