EASA Expert Group: digitalization, AI, and societal impact

Published: December 19, 2022
Abstract Views: 492
PDF: 31
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Authors

Klaus Mainzer (President)

Prof. Dr. Marco Aiello; VIPhD, MBA, Thomas Beyer II; Prof. Dr. Humberto Bustince, VI;Prof. Dr. Carlucci Aiello Luigia, VI; Prof. Tiziana Catarci, VI; Prof. Dr. C.L. Phillip Chen, VI; Prof. Dr.hab. Krzysztof Cios, VI; Prof. Ophir Frieder, VI; Prof. Giovanna Guidoboni PhD, VI; Prof. Dr. Dr. Ulrich Hemel, VII; Prof. Dr. Peter Herrmann, V; Prof. Dr Sabine T. Köszegi, V; Prof. Georgios Kouroupetroglou, VI;Prof. Ioannis Liritzis, IV; Prof. Gilles Lubineau, VI; Prof. Elpida Keravou-Papailiou;Prof. Dr. Matilde Santos, VI; Prof. Dr. rer.nat. habil. Jürgen Schmidhuber, VI; Prof. Dr. Bernhard Schölkopf, IV; Prof. Dr. Siegfried Selberherr, VI; Prof. Giancarlo Elia Valori, V; Prof. Kun Yang, VI.

Dimensions

Altmetric

PlumX Metrics

Downloads

Download data is not yet available.

Citations

Bordoni, L., Mele, F., and Sorgente, A (eds) (2016) Artificial Intelligence for Cultural Heritage, Cambridge Scholars publishing.
Chen, T., Keravnou-Papailiou, E., Antoniou, G. (2021). Medical Analytics for Healthcare Intelligence – Recent advances and future directions. Artif Intell Med 112:102009. DOI: https://doi.org/10.1016/j.artmed.2021.102009
CoE (2020) Council of Europe, Strasbourg, 5 November 2020, CDCPP (2020)8 Item 4.2 of the agenda, STEERING COMMITTEE FOR CULTURE, HERITAGE AND LANDSCAPE (CDCPP) CULTURE. https://rm.coe.int/9th-cdcpp-pleanry-session-online-10-1e-and-13-november-2020-culture/1680a0468f
Combi, C., Keravnou-Papailiou, E. and Shahar, Y. (2010), Temporal Information Systems in Medicine, Springer. DOI: https://doi.org/10.1007/978-1-4419-6543-1
Combi, C. and Pozzi, G. (2019), Clinical information systems and artificial intelligence: recent research trends. Yearb Med Inform. 2019 Aug;28(1):83-94. doi: 10.1055/s-0039-1677915. DOI: https://doi.org/10.1055/s-0039-1677915
European Commission (2019), Ethics Guidelines for Trustworthy Artificial Intelligence, 8 April 2019. https://digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai
Guidotti, R., Monreale, A., Ruggieri, S., Turini, F., Pedreschi, D., and Giannotti, F. (2018), A survey of methods for explaining black box models, in: ACM Computing Surveys 51:93 DOI: https://doi.org/10.1145/3236009
Haddadin, S. (2021), Künstliche Intelligenz mit Körper, in: Mainzer 2021. DOI: https://doi.org/10.1007/978-3-658-23715-8_21-1
Hemel, U. (2020), Kritik der digitalen Vernunft, C.H. Beck: München.
Levy, T & Jones, I (Eds.) (2018) Cyber-Archaeology and Grand Narratives. Digital Technology and Deep-Time Perspectives on Culture Change in the Middle East, Springer. DOI: https://doi.org/10.1007/978-3-319-65693-9
Liritzis et al., (2015). Digital technologies and trends in cultural heritage. Mediterranean Archaeology and Archaeometry 15:313-332.
Liritzis, I., orka, E (2019) .Archaeometry’s Role in Cultural Heritage Sustainability and Development. Sustainability 11:1972. DOI: https://doi.org/10.3390/su11071972
Mainzer, K. (2019), Artificial Intelligence. When do Machines take over? Springer: Berlin. DOI: https://doi.org/10.1007/978-3-662-59717-0
Mainzer, K.; Schuster, P.; Schwichtenberg, H. (Eds.) (2021), Proof and Computation II. From Proof Theory and Univalent Mathematics to Program Extraction and Verification. World Scientific Singapore. DOI: https://doi.org/10.1142/12263
Mainzer, K. (Ed.) (2021), Philosophisches Handbuch der Künstlichen Intelligenz, Springer: Berlin (forthcoming). DOI: https://doi.org/10.1007/978-3-658-23715-8
Robinson, J.A. (1965), A machine oriented logic based on the resolution principle, in: Journal of the Association for Computing Machinery 12, 23-41. DOI: https://doi.org/10.1145/321250.321253
Santos, M.; Toni, F. (2021) Artificial Intelligence-Empowered Technology in the Home, in: The home in the digital age (ch. 3). Argandoña A., Malala J., Peatfield R. (ed.) ISBN 9780367530174. Routledge DOI: https://doi.org/10.4324/9781003080114-3
Schmidhuber, J. (2015), Deep learning in neural networks: An overview, in: Neural Networks. 61, 2015. DOI: https://doi.org/10.1016/S0893-6080(14)00258-5
Schölkopf, B.; Smola, A.J. (2002), Learning with Kernels, MIT Press: Cambridge MA.
Traviglia, A (2020) Italian Institute of Technology Artificial Intelligence applications to Cultural Heritage, 9th Plenary session (online) of the Steering Committee for Culture, Heritage and Landscape (CDCPP). https://www.coe.int/en/web/cdcpp-committee/9th-session
Vapnik, V.N. (1998), Statistical Learning Theory, New York.
Wahlster, Wolfgang; Winterhalter, C. (Eds.) 2020. German Standardization Roadmap on Artificial Intelligence, DIN, Berlin. https://www.dke.de/de/arbeitsfelder/core-safety/normungsroadmap-ki

How to Cite

Group, E. E. (2022). EASA Expert Group: digitalization, AI, and societal impact. Proceedings of the European Academy of Sciences and Arts, 1(1). https://doi.org/10.4081/peasa.7