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Intelligence Augmentation: Future Directions and Ethical Implications in HCI

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Human-Computer Interaction – INTERACT 2023 (INTERACT 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14145))

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Abstract

Intelligence Augmentation (IA) has long been understood as a concept that describes how human capabilities are enhanced by technologies to improve their intelligence (often in a collective sense), and therefore improve the outcomes of many tasks. While IA’s goal is to keep the human in the loop and design technology around users, the future of IA as being universally beneficial for people has been widely questioned. As IA outputs are increasingly used to train Artificial Intelligence (AI) and AI is used to enable IA, new questions arise around the implications of integrating IA systems in the real world. These concerns span from autonomous agency, to privacy and ethics, workers’ rights and the essence of ownership of cognitive output. This workshop seeks to explore the latest research on technologies and policies that allow IA to benefit individuals and groups, both in the private sphere and the workplace.

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Notes

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    https://www.lecycl.org.

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    https://www.jst.go.jp/kisoken/aip/en/program/research/trilateral2020.html.

References

  1. Adamic, L.A., Zhang, J., Bakshy, E., Ackerman, M.S.: Knowledge sharing and yahoo answers: everyone knows something. In: Proceedings of the 17th International Conference on World Wide Web, WWW 2008, pp. 665–674. ACM, New York (2008). https://doi.acm.org/10.1145/1367497.1367587

  2. Dengel, A., Devillers, L., Schaal, L.M.: Augmented human and human-machine co-evolution: efficiency and ethics. In: Braunschweig, B., Ghallab, M. (eds.) Reflections on Artificial Intelligence for Humanity. LNCS (LNAI), vol. 12600, pp. 203–227. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-69128-8_13

    Chapter  Google Scholar 

  3. Dobrkovic, A., Liu, L., Iacob, M.-E., van Hillegersberg, J.: Intelligence amplification framework for enhancing scheduling processes. In: Montes-y-Gómez, M., Escalante, H.J., Segura, A., Murillo, J.D. (eds.) IBERAMIA 2016. LNCS (LNAI), vol. 10022, pp. 89–100. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-47955-2_8

    Chapter  Google Scholar 

  4. Engelbart, D.C., English, W.K.: A research center for augmenting human intellect. In: Proceedings of the December 9–11, 1968, Fall Joint Computer Conference, Part I, pp. 395–410 (1968)

    Google Scholar 

  5. Farooq, U., Grudin, J., Shneiderman, B., Maes, P., Ren, X.: Human Computer Integration versus Powerful Tools. In: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems CHI EA 2017, pp. 1277–1282. Association for Computing Machinery, New York (May 2017). https://doi.org/10.1145/3027063.3051137

  6. Gill, Z.: User-driven collaborative intelligence: social networks as crowdsourcing ecosystems. In: CHI 2012 Extended Abstracts on Human Factors in Computing Systems, CHI EA 2012, pp. 161–170. Association for Computing Machinery, New York (May 2012). https://doi.org/10.1145/2212776.2212794

  7. Harborth, D., Kümpers, K.: Intelligence augmentation: rethinking the future of work by leveraging human performance and abilities. Virtual Reality 26(3), 849–870 (2022). https://doi.org/10.1007/s10055-021-00590-7

  8. Hassani, H., Silva, E.S., Unger, S., TajMazinani, M., Mac Feely, S.: Artificial Intelligence (AI) or Intelligence Augmentation (IA): What Is the Future?, vol. AI 1(2), pp. 143–155. Multidisciplinary Digital Publishing Institute (Jun 2020). https://doi.org/10.3390/ai1020008, https://www.mdpi.com/2673-2688/1/2/8

  9. Islam, M.R., et al.: Quality assessment of crowdwork via eye gaze: towards adaptive personalized crowdsourcing. In: Ardito, C., et al. (eds.) INTERACT 2021. LNCS, vol. 12933, pp. 104–113. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-85616-8_8

    Chapter  Google Scholar 

  10. Maruichi, T., Uragami, T., Vargo, A., Kise, K.: Handwriting behavior as a self-confidence discriminator. In: Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers, UbiComp-ISWC 2020, pp. 78–81. Association for Computing Machinery, New York (Sep 2020). https://doi.org/10.1145/3410530.3414383

  11. Paul, S., Yuan, L., Jain, H., Robert, L., Spohrer, J., Lifshitz-Assaf, H.: Intelligence augmentation: human factors in AI and future of work. AIS Trans. Hum-Comput. Interact. 14(3), 426–445 (2022). https://doi.org/10.17705/1thci.00174, https://aisel.aisnet.org/thci/vol14/iss3/6

  12. Popova, O., Popov, B., Karandey, V.: Intelligence amplification in distance learning through the binary tree of question-answer system. Proc. - So. Behav. Sci. 214, 75–85 (2015). https://doi.org/10.1016/j.sbspro.2015.11.597, https://www.sciencedirect.com/science/article/pii/S1877042815059522

  13. Stanney, K.M., et al.: Augmented cognition: an overview. Rev. Human Factors Ergon. 5(1), 195–224 (2009). https://doi.org/10.1518/155723409X448062

  14. Szczerbicki, E., Nguyen, N.T.: Intelligence augmentation and amplification: approaches, tools, and case studies. Cybern. Syst. 53(5), 381–383 (2022). https://doi.org/10.1080/01969722.2021.2018551

  15. Vargo, A.W., Matsubara, S.: Editing unfit questions in Q &A. In: 2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI), pp. 107–112 (2016). https://doi.org/10.1109/IIAI-AAI.2016.83

  16. Vargo, A., et al.: Workshop on delivering sensing technologies for education and learning. In: Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp/ISWC 2022 Adjunct), Ubicomp EA 2022, 11–15 September 2022, Cambridge, United Kingdom, New York pp. 1–5 (2022). https://doi.org/10.1145/3544793.3560373

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Acknowledgements

This work was supported in part by grants from JST in Japan (Grant No. JPMJCR20G3), DFG in Germany (Project No. 442581111) and ANR (Grant No. ANR-20-IADJ-0007) in France. (20KK0235).

Author information

Authors and Affiliations

  1. Osaka Metropolitan University, Sakai, Osaka, 599-8531, Japan

    Andrew Vargo, Shoya Ishimaru, Motoi Iwata & Koichi Kise

  2. Monash University, Clayton, VIC, Australia

    Benjamin Tag

  3. Université Paris-Saclay, CNRS, LISN (UMR 9015), Orsay, France

    Mathilde Hutin & Laurence Devillers

  4. ETH Zurich, Zurich, Switzerland

    Victoria Abou-Khalil

  5. DFKI, Kaiserslautern, Germany

    Andreas Dengel

  6. ENIB, Lab-STICC (UMR CNRS 6285), Brest, France

    Olivier Augereau

  7. University of Melbourne, Parkville, VIC, Australia

    Tilman Dingler

  8. Sorbonne University, Paris, France

    Laurence Devillers

  9. University of Kaiserslautern-Landau (RPTU), Kaiserslautern, Germany

    Andreas Dengel

  10. F.R.S.-FNRS, Université catholique de Louvain, Louvain-la-Neuve, Belgium

    Mathilde Hutin

Authors
  1. Andrew Vargo
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  2. Benjamin Tag
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  4. Victoria Abou-Khalil
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  5. Shoya Ishimaru
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  6. Olivier Augereau
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  7. Tilman Dingler
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  8. Motoi Iwata
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  9. Koichi Kise
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  10. Laurence Devillers
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  11. Andreas Dengel
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Corresponding author

Correspondence to Andrew Vargo .

Editor information

Editors and Affiliations

  1. University of West London, London, UK

    José Abdelnour Nocera

  2. Reykjavik University, Reykjavik, Iceland

    Marta Kristín Lárusdóttir

  3. University of York, York, UK

    Helen Petrie

  4. University of Bari Aldo Moro, Bari, Italy

    Antonio Piccinno

  5. Université Côte d’Azur, Sophia Antipolis Cedex, France

    Marco Winckler

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Vargo, A. et al. (2023). Intelligence Augmentation: Future Directions and Ethical Implications in HCI. In: Abdelnour Nocera, J., Kristín Lárusdóttir, M., Petrie, H., Piccinno, A., Winckler, M. (eds) Human-Computer Interaction – INTERACT 2023. INTERACT 2023. Lecture Notes in Computer Science, vol 14145. Springer, Cham. https://doi.org/10.1007/978-3-031-42293-5_87

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  • DOI: https://doi.org/10.1007/978-3-031-42293-5_87

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