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| Titre : | Artificial Intelligence and Digital Transformation : early lessons from the COVID-19 crisis |
| Auteurs : | Massimo Craglia ; Sarah De Nigris ; Emilio Gomez-Gonzales ; et alii |
| Type de document : | document électronique |
| Editeur : | Luxembourg : Publications Office of the European Union, 2020 |
| Format : | 57 p. |
| Langues: | Anglais |
| Catégories : |
Thésaurus CEREQ CRISE SANITAIRE ; INTELLIGENCE ARTIFICIELLE ; ECONOMIE NUMERIQUE ; MUTATION TECHNOLOGIQUE ; INNOVATION ; INTERNET ; NTI - NOUVELLE TECHNOLOGIE DE L'INFORMATION ; MEDECINE ; SANTE ; UNION EUROPEENNE |
| Résumé : | The COVID-19 pandemic has created an extraordinary medical, economic and social emergency. To contain the spread of the virus, many countries adopted a lock down policy closing schools and business and keeping people at home for several weeks. This resulted in a massive surge of activity online for education, business, public administration, research, social interaction. This report considers these recent developments and identifies some early lessons with respect to the present and future development of AI and digital transformation in Europe, focusing in particular on data, as this is an area of significant shifts in attitudes and policy. The report analyses the increasing use of AI in medicine and healthcare, the tensions in data sharing between individual rights and collective wellbeing, the search for technological solutions like contact tracing apps to help monitor the spread of the virus, and the potential concerns they raise... (source: report) |
| Document Céreq : | Non |
| En ligne : | https://ec.europa.eu/jrc/en/publication/eur-scientific-and-technical-research-reports/artificial-intelligence-and-digital-transformation-early-lessons-covid-19-crisis |
Documents numériques (1)
 covidai_jrc_science_for_policy_report_final_20200720.pdf Adobe Acrobat PDF |
