Editor's Note.

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DOI:

https://doi.org/10.9781/ijimai.2021.02.014

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Editors Note
Supporting Agencies
We would like to thank the other co-organizers of the workshops involved, as well as the reviewers, for their invaluable contribution to the selection and quality of the articles included in this special issue.

Abstract

Artificial Intelligence has become nowadays one of the main relevant technologies that is driven us to a new revolution, a change in society, just as well as other human inventions, such as navigation, steam machines, or electricity did in our past. There are several ways in which AI might be developed, and the European Union has chosen a path, a way to transit through this revolution, in which Artificial Intelligence will be a tool at the service of Humanity. That was precisely the motto of the 2020 European Conference on Artificial Intelligence (“Paving the way towards Human-Centric AI”), of which these special issue is a selection of the best papers selected by the organizers of some of the Workshops in ECAI 2020.

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References

[1] UN Global Pulse, “Big data for development: Challenges and opportunities,” 2012. [Online].

[2] UN, “Human Rights Based Approach to development,” 2003. [Online].

[3] UNICEF Global Innovation Centre, “Generation AI,” 2003. [Online].

[4] World Wide Web Foundation, “Artificial Intelligence: The Road Ahead in Low and Middle-Income Countries,” World Wide Web Foundation, 2017. [Online].

[5] International Telecommunications Union, “AI for good global summit 2018,” International Telecommunication Union, Geneva, 2018. [Online].

[6] World Economic Forum, “Harnessing artificial intelligence for the earth,” 2018. [Online].

[7] R. Ochigame, “The invention of “Ethical AI”,” 2019. [Online].

[8] Y. Benkler, “Don’t let industry write the rules for AI,” Nature, vol. 569, no. 7754, pp. 161–162, 2019.

[9] J. Pennington, R. Socher, C. D. Manning, “Glove: Global vectors for word representation,” in Empirical Methods in Natural Language Processing (EMNLP), 2014, pp. 1532–1543.

[10] T. Mikolov, K. Chen, G. Corrado, J. Dean, “Efficient estimation of word representations in vector space,” in Workshop Proceedings of the International Conference on Learning Representations (ICLR) 2013, 2013. arXiv preprint arXiv:1301.3781.

[11] J. Devlin, M.-W. Chang, K. Lee, K. Toutanova, “BERT: Pre-training of deep bidirectional transformers for language understanding,” in Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), Minneapolis, Minnesota, June 2019, pp. 4171– 4186, Association for Computational Linguistics.

[12] F. Martínez-Plumed, J. Hernández-Orallo, E. Gómez, “Tracking AI: The capability is (not) near,” Frontiers in Artificial Intelligence and Applications, vol. 320: ECAI 2020, pp. 2915–2916, 2020.

[13] J. Hernández-Orallo, M. Baroni, J. Bieger, N. Chmait, D. L. Dowe, K. Hofmann, F. Martínez-Plumed, C. Strannegård, K. R. Thórisson, “A new AI evaluation cosmos: Ready to play the game?” AI Magazine, vol. 38, no. 3, pp. 66–69, 2017.

[14] F. Martínez-Plumed, E. Gómez, J. Hernández-Orallo, “Futures of artificial intelligence through technology readiness levels,” Telematics and Informatics, vol. 58, p. 101525, 2021.

[15] G. Pereira Dimuro, J. Fernández, B. in Bedregal, R. Mesiar, J. Antonio Sanz, G. Lucca, H. Bustince, “The state-of-art of the generalizations of the Choquet integral: From aggregation and pre-aggregation to ordered directionally monotone functions,” Information Fusion, vol. 57, pp. 27 – 43, 2020, doi: https://doi.org/10.1016/j.inffus.2019.10.005.

[16] G. Lucca, J. Sanz, G. Pereira Dimuro, B. Bedregal, R. Mesiar, A. Kolesárová, H. Bustince Sola, “Pre-aggregation functions: construction and an application,” IEEE Transactions on Fuzzy Systems, vol. 24, pp. 260–272, April 2016, doi: 10.1109/TFUZZ.2015.2453020.

[17] M. Elkano, M. Galar, J. A. Sanz, P. F. Schiavo, S. Pereira, G. caliz Pereira Dimuro, E. N. Borges, H. Bustince, “Consensus via penalty functions for decision making in ensembles in fuzzy rule-based classification systems,” Applied Soft Computing, vol. 67, pp. 728 –740, 2018, doi: https://doi. org/10.1016/j.asoc.2017.05.050.

[18] L. Ko, Y. Lu, H. Bustince, Y. Chang, Y. Chang, J. Ferandez, Y. Wang, J. A. Sanz, G. Pereira Dimuro, C. Lin, “Multimodal fuzzy fusion for enhancing the motor-imagery-based brain computer interface,” IEEE Computational Intelligence Magazine, vol. 14, no. 1, pp. 96–106, 2019, doi: 10.1109/ MCI.2018.2881647.

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2021-03-01
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How to Cite

Alonso Betanzos, A., Cabalar, P., P. Dimuro, G., García, M., Hernández Orallo, J., Hervás, R., … Sànchez Marré, M. (2021). Editor’s Note. International Journal of Interactive Multimedia and Artificial Intelligence, 6(5), 4–7. https://doi.org/10.9781/ijimai.2021.02.014