Title |
An Inclusive and Sustainable Artificial Intelligence Strategy for Europe Based on Human Rights |
ID_Doc |
64283 |
Authors |
Fernández-Aller, C; de Velasco, AF; Manjarrés, A; Pastor-Escuredo, D; Pickin, S; Criado, JS; Ausin, T |
Title |
An Inclusive and Sustainable Artificial Intelligence Strategy for Europe Based on Human Rights |
Year |
2021 |
Published |
Ieee Technology And Society Magazine, 40, 1 |
DOI |
10.1109/MTS.2021.3056283 |
Abstract |
The United Nations (UN) 2030 Agenda and other movements toward setting global goals such as the Paris Agreement and the European Green Deal/U.S. Green New Deal are laying the groundwork for a transformation beyond purely market-based economics toward sustainability and inclusiveness [1], in which technological innovation and, in particular, artificial intelligence (AI) can play a central role. The European Union (EU) is committed to the 2030 Agenda and the sustainable development goals (SDGs), which the UN itself has recognized cannot be achieved without a people-focused, science-based, digital revolution [2]. This commitment to the 2030 Agenda should entail promoting an inclusive and sustainable AI strategy, rather than a strategy with a narrow focus on competitiveness [3], [4]. In order for AI to contribute to achieving the SDGs, a systemic approach to the development of AI solutions is required [5]-[9]. Conversely, the SDGs provide an ideal framework to test the desirability of AI solutions [10]. Europe's multicultural character and its framework of international collaboration give it a head start toward becoming a global reference in the promotion of an inclusive and sustainable AI. Sharing the experiences and practices of such a European AI could make a significant contribution to achieving the SDGs. |
Author Keywords |
Economics; Technological innovation; International collaboration; Artificial intelligence; Sustainable development |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
EID |
WOS:000631197100008 |
WoS Category |
Engineering, Electrical & Electronic |
Research Area |
Engineering |
PDF |
https://oa.upm.es/66529/1/INVE_MEM_2021_333181.pdf
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