Bibliografía

 

4.1 Europa

4.1.1 Monografías, informes

ASHLEY, Kevin D. (2017), Artificial intelligence and legal analytics: new tools for law practice in the digital age. Cambridge: Cambridge University Press. https://www.cambridge.org/core/books/artificial-intelligence-and-legal-analytics/E7D705EEF392501A1DB180645917E7E0

KAPLAN, Jerry (2016) Artificial Intelligence: What Everyone Needs to Know, Oxford University Press, Oxford. Artificial Intelligence: What Everyone Needs to KnowKaplanJerryArtificial Intelligence: What Everyone Needs to KnowOxford: Oxford University Press, 2016. ISBN 978-0-19-060239-0 | Request PDF (researchgate.net)

DELPONTE, Laura (2018), «European Artificial Intelligence (AI) leadership, the path for an integrated vision», European Parliament Think Tank. PE 626-074 European Artificial Intelligence (AI) leadership, the path for an integrated vision – Think Tank (europa.eu)

DE NIGRIS Sarah; craglia Massimo; NEPELSKI Daniel; HRADEC Jiri; et. Al., (2020). AI Watch: AI Uptake in Health and Healthcare. JRC122675. Publications Office of the European Union; https://publications.jrc.ec.europa.eu/repository/handle/JRC122675

RENDA, Andrea (2019), «Artificial Intelligence (AI): Ethics, Governance and Policy Challenges», Informe del CEPS Task Force. Download CEPS Publication

SARTOR, Giovanni (2019), «Artificial Intelligence: Challenges for EU Citizens and Consumers», European Parliament Think Tank, PE 631.043. Artificial Intelligence: challenges for EU citizens and consumers – Think Tank (europa.eu)

STIX, Charlotte (2019), «A survey of the European Union’s artificial intelligence ecosystem», Informe del Luverhulme Centre for the Future of Intelligence, Universidad de Cambridge. A Survey of the European Union’s Artificial Intelligence ecosystem (lcfi.ac.uk)

THE ALAN TURING INSTITUTE (2021) Data science and AI in the age of COVID-19. Reflections on the response of the UK’s data science and AI community to the COVID-19 pandemic, Pp. 13-14. https://www.turing.ac.uk/sites/default/files/2021-06/data-science-and-ai-in-the-age-of-covid_full-report_2.pdf

O´FLAHERTY, Michael (Director), (2020), Getting the future right. Artificial Intelligence and Fundamental Rights. European Union Agency for Fundamental Rights https://fra.europa.eu/sites/default/files/fra_uploads/fra-2020-artificial-intelligence_en.pdf

 

4.1.2 Capítulos de libros, artículos, notas

ARMSTRONG, Stuart, SOTALA, Kaj, y ÓHÉIGEARTAIGH, Séan. S. (2014), «The errors, insights and lessons of famous AI predictions–and what they mean for the future»,  Journal of Experimental & Theoretical Artificial Intelligence, Vol. 26(3), Pp. 317-342. http://www.fhi.ox.ac.uk/wp-content/uploads/FAIC.pdf

AUBY, Jean-Bernard (2020), «Administrative law facing digital challenges», European review of digital administration & law, Vol. 1, Pp. 7-16.Administrative Law Facing Digital Challenges – Aracne editrice – 10.4399/97888255389602

BARONE, Antonio (2020), «Amministrazione del rischio e intelligenza artificiale», European review of digital administration & law, Vol. 1, Pp. 63-68.  Amministrazione del rischio e intelligenza artificiale – Aracne editrice – 10.4399/97888255389606

BOIX PALOP, Andrés (2020), «Algorithms as Regulations: Considering Algorithms, when Used by the Public Administration for Decision-making, as Legal Norms in order to Guarantee the proper adoption of Administrative Decisions», European review of digital administration & law, Vol. 1, Pp. 75-100 Algorithms as Regulations: Considering Algorithms, when Used by the Public Administration for Decision-making, as Legal Norms in order to Guarantee the proper adoption of Administr – Aracne editrice – 10.4399/97888255389608

BERTOT, John, ESTEVEZ, Elsa y JANOWSKI, Tomasz (2016), «Universal and contextualized public services: Digital public service innovation framework», Government Information Quarterly, Vol. 33(2), Pp. 211-222. https://www.sciencedirect.com/science/article/abs/pii/S0740624X16300545?via%3Dihub

BRAVO, Fabio (2020), «Access to Source Code of Proprietary Software Used by Public Administrations for Automated Decision-making. What Proportional Balancing of Interests? », European review of digital administration & law, Vol. 1, Pp. 157-166. Access to Source Code of Proprietary Software Used by Public Administrations for Automated Decision-making. What Proportional Balancing of Interests? – Aracne editrice – 10.4399/978882553896014

BUOSO, Elena (2020), «Fully Automated Administrative Acts in the German legal System», European review of digital administration & law, Vol. 1, Pp. 113-122.  Fully Automated Administrative Acts in the German legal System – Aracne editrice – 10.4399/978882553896011

CARDON, Dominique (2018), «Le pouvoir des algorithmes. Pouvoirs», Vol. 164(1), Pp. 63-73. https://www.cairn.info/revue-pouvoirs-2018-1-page-63.htm?contenu=resume

CAVALLARO, María Cristina (2020), «Imputazione e responsabilità delle decisioni automatizzate», European review of digital administration & law, Vol. 1, Pp. 69-74. Imputazione e responsabilità delle decisioni automatizzate – Aracne editrice – 10.4399/97888255389607

CERRILLO I MARTÍNEZ, Agustí (2020), «¿Son fiables las decisiones de las Administraciones públicas adoptadas por algoritmos?», European review of digital administration & law, Vol. 1, Pp. 18-36. ¿Son fiables las decisiones de las Administraciones públicas adoptadas por algoritmos? – Aracne editrice – 10.4399/97888255389603

CHESTERMAN, Simon (2021) We, the Robots?: Regulating Artificial Intelligence and the Limits of the Law, Cambridge University Press, Cambridge. https://www.cambridge.org/core/books/we-the-robots/777E9F98148F6F449A48D2DB2B645EDB

CLUZEL-MÉTAYER, Lucie (2020), «The Judicial Review of the Automated Administrative Act», European review of digital administration & law, Vol. 1, Pp. 101-104. The Judicial Review of the Automated Administrative Act – Aracne editrice – 10.4399/97888255389609

CONSTANTINO, Fulvio (2020), «Public Officials and the Design of Algorithms. Lessons from the Italian Experience», European review of digital administration & law, Vol. 1, Pp. 143-156. Public Officials and the Design of Algorithms. Lessons from the Italian Experience – Aracne editrice – 10.4399/978882553896013

DEGRAVE, Elise (2020), «The Use of Secret Algorithms to Combat Social Fraud in Belgium», European review of digital administration & law, Vol. 1, Pp. 167-178.  The Use of Secret Algorithms to Combat Social Fraud in Belgium – Aracne editrice – 10.4399/978882553896015

DESMOULIN-CANSELIER, Sonia y MÉTAYER, Daniel Le (2019), «Algorithmic Decision Systems in the Health and Justice Sectors: Certification and Explanations for Algorithms in European and French Law»,. European Journal of Law and Technology, Vol. 9(3), Pp. 46-54. https://ejlt.org/index.php/ejlt/article/view/626/849

DJEFFAL, Christian (2018), «Normative Guidelines for IA in Government and Public Administration», Mohabbat Kar, Resa & Thapa, Basanta E.P. (eds.). «(Un)berechenbar? Algorithmen und Automatisierung in Staat und Gesellschaft» Berlin: Kompetenzzentrum Öffentliche IT. https://www.researchgate.net/publication/318003942_Leitlinien_der_Verwaltungsnovation_und_das_Internet_der_Dinge_Vom_E-Government_Zum_Smart_Government_Durch_Verfassung_Gesetz_Organisation_Und_Strategie_Principles_of_Renewing_Public_Administration_by_t

EIDENMUELLER, Horst (2017), «The Rise of Robots and the Law of Humans», Oxford Legal Studies Research Paper, Vol. 27. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2941001

ENGIN, Zeynep y TRELEAVEN, Philip (2019), «Algorithmic Government: Automating Public Services and Supporting Civil Servants in using Data Science Technologies», The Computer Journal, Vol. 62(3), Pp. 448–460. https://academic.oup.com/comjnl/article/62/3/448/5070384

FRANKEL-HAEBERLE, Cristina (2020), «Fully Digitalized Administrative Procedures in the German Legal System», European review of digital administration & law, Vol. 1, Pp. 105-112. Fully Digitalized Administrative Procedures in the German Legal System – Aracne editrice – 10.4399/978882553896010

GALLONE, Giovanni (2020), «Public Administration and the Challenge of Contractual Automation. Notes on Smart Contracts», European review of digital administration & law, Vol. 1, Pp. 176-196.  Public Administration and the Challenge of Contractual Automation. Notes on Smart Contracts – Aracne editrice – 10.4399/978882553896016

HOFHEINZ, Paul (2018), «The Ethics of Artificial Intelligence: How AI Can End Discrimination and Make the World a Smarter, Better Place», The Lisbon Council. https://lisboncouncil.net/newsandevents/ethics-of-artificial-intelligence/

HOLDER, Chris, KHURANA, Vikram, HARRISON, Faye y JACOBS, Louisa (2016), «Robotics and law: Key legal and regulatory implications of the robotics age (Part I of II) », Computer Law & Security Review, Vol. 32(3), Pp. 383-402. https://www.sciencedirect.com/science/article/abs/pii/S0267364916300358?via%3Dihub

IE UNIVERSITY (2019). «One in four Europeans favor Artificial Intelligence making policy decisions over politicians, according to IE University report» https://www.ie.edu/university/news-events/news/one-in-four-europeans-favor-artificial-intelligence-making-policy-decisions-over-politicians-according-to-ie-university-report/

MARONGIU, Daniele (2020), «L’intelligenza artificiale “istituzionale”: limiti (attuali) epotenzialità», European review of digital administration & law, Vol. 1, Pp. 37-54. L’intelligenza artificiale “istituzionale”: limiti (attuali) epotenzialità – Aracne editrice – 10.4399/97888255389604

MASUCCI, Alfonso (2020) «L’algoritmizzazione delle decisioni amministrative tra Regolamento europeo e leggi degli Stati membri », Diritto Pubblico, Vól. 26, No. 3. Pp. 943-979. https://www.rivisteweb.it/issn/1721-8985

MEUWESE, Anne (2020), «Regulating Algorithmic Decision-making One Case at the Time. A Note on the Dutch ‘SyRI’ Judgment», European review of digital administration & law, Vol. 1, Pp. 209-212.  Regulating Algorithmic Decision-making One Case at the Time: a Note on the Dutch ‘SyRI’ Judgment – Aracne editrice – 10.4399/978882553896019

MICHELER, Eva, JIANG, Johannes (2019). «Regulatory Technology: Eight Policy Recommendations», Oxford Bussiness Law Blog. https://www.law.ox.ac.uk/business-law-blog/blog/2019/08/regulatory-technology-eight-policy-recommendations

MICHELER, Eva; Whaley, Anna (2018): «Regulatory Technology – Replacing Law with Computer Code», LSE Legal Studies Working Paper, Vol. 14. https://link.springer.com/content/pdf/10.1007/s40804-019-00151-1.pdf

MIKHAYLOV, Slava Jankin, ESTEVE, Marc y CAMPION, Averill (2018), «Artificial intelligence for the public sector: opportunities and challenges of cross-sector collaboration», Philosophical Transactions of the Royal Society A, Vol. 376. https://royalsocietypublishing.org/doi/10.1098/rsta.2017.0357

MISURACA, G., van Noordt, C., Boukli, A. (2020). The use of AI in public services: results from a preliminary mapping across the EU. Association for Computing Machinery. https://www.researchgate.net/profile/Colin-Van-Noordt/publication/345015463_The_use_of_AI_in_public_services_results_from_a_preliminary_mapping_across_the_EU/links/5f9c4d97458515b7cfaae63a/The-use-of-AI-in-public-services-results-from-a-preliminary-mapping-across-the-EU.pdf

OROFINO, Angelo Giuseppe (2020), «The Implementation of the Transparency Principle in the Developement of Electronic Administration», European review of digital administration & law, Vol. 1, Pp. 123-142. The Implementation of the Transparency Principle in the Developement of Electronic Administration – Aracne editrice – 10.4399/978882553896012

PETIT, Nicolas (2017), «Law and Regulation of Artificial Intelligence and Robots – Conceptual Framework and Normative Implications», European University Institute. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2931339

RODRÍGUEZ CANFRANC, Pablo (2018) «Humanos, demasiado humanos: los algoritmos y sus prejuicios», CANFRAC. Humanos, demasiado humanos: los algoritmos y sus prejuicios | Telos Fundación Teléfonica (fundaciontelefonica.com)

ROGGE, Nicky, AGASISTI, Tommaso y De WITTE, Kristof (2017), «Big data and the measurement of public organizations’ performance and efficiency: The state-of-the-art», Public Policy and Administration, Vol. 32(4), Pp. 263-281.    https://www.researchgate.net/publication/312658661_Big_data_and_the_measurement_of_public_organizations’_performance_and_efficiency_The_state-of-the-art

VALERO TORRIJOS, Julián (2020), «The Legal Guarantees of Artificial Intelligence in Administrative Activity. Reflections and Contributions from the Viewpoint of Spanish Administrative Law and Good Administration Requirements», European review of digital administration & law, Vol. 1, Pp. 55-62.  The Legal Guarantees of Artificial Intelligence in Administrative Activity: Reflections and Contributions from the Viewpoint of Spanish Administrative Law and Good Administration R – Aracne editrice – 10.4399/97888255389605

VAYENA, Effy (2018), «Protecting health privacy in the world of Big Data», en GLENN COHEN, I., FERNÁNDEZ LYNCH, H., VAYENA, E. y GASSER, U. (Edit.), Big Data, Health Law and Bioethics, Cambridge University Press, Cambridge, Pp. 157-204. https://www.cambridge.org/core/books/abs/big-data-health-law-and-bioethics/protecting-health-privacy-in-the-world-of-big-data/88BE83B358F91594A40DA57E895C9BF1

 

4.2 España

 4.2.1 Monografías e informes

ALAMILLO DOMINGO, Ignacio y URIOS APARISI, F. Xavier (2011), La actuación administrativa automatizada en el ámbito de las Administraciones Públicas. Análisis jurídico y metodológico para la construcción y la explotación de trámites automáticos. EAPC, Barcelona.  http://eapc.gencat.cat/web/.content/home/publicacions/col_leccio_estudis_de_recerca_digital/3_actuacio_administrativa_automatitzada/alamillo_urios_castellano.pdf

BARRIO ANDRÉS, Moisés (dir.) (2018), Derecho de los robots, Wolters Kluwer, Madrid. https://www.moisesbarrio.es/libro/derecho-de-los-robots_9788490206898

CASTELLANOS CLARAMUNT, Jorge, (2020), Participación ciudadana y buen gobierno democrático: posibilidades y límites en la era digital. Marcial Pons. ISBN 9788491237983 https://www.marcialpons.es/libros/las-actuaciones-administrativas-sin-procedimiento/9788413812328/

CERRILLO I MARTÍNEZ, Agustí; Peguera Poch, Miguel (coords.) (2020) Retos jurídicos de la inteligencia artificial, Aranzadi, Navarra. https://www.thomsonreuters.es/es/tienda/duo-papel-ebook/retos-juridicos-de-la-inteligencia-artificialduo/p/10016285 

COTINO HUESO, Lorenzo (Dir.), (2022), Derechos y garantías ante la inteligencia artificial y las decisiones automatizadas. Editorial Aranzadi. ISBN: 9788411245012. https://libreria.tirant.com/es/libro/derechos-y-garantias-ante-la-inteligencia-artificial-y-las-decisiones-automatiza-lorenzo-cotino-hueso-9788411245012?busqueda=DERECHOS+Y+GARANT%3FAS+ANTE+LA+INTELIGENCIA+ARTIFICIAL+&

DE ASÍS ROIG, Rafael (2014), Una mirada a la robótica desde los derechos humanos, Dykinson, Madrid. https://www.dykinson.com/libros/una-mirada-a-la-robotica-desde-los-derechos-humanos/9788490852446/

ERCILLA GARCÍA, Javier (2019): Normas de derecho civil y robótica, Aranzadi, Navarra. https://www.thomsonreuters.es/es/tienda/ebook—proview/normas-de-derecho-civil-y-robotica-e-book/p/10012866

GARCÍA-ANDRADE GÓMEZ, Jorge, (2021), Las actuaciones administrativas sin procedimiento Relaciones jurídicas en el Estado de Derecho. Marcial Pons, Madrid, España. ISBN: 9788413812328. https://www.marcialpons.es/libros/las-actuaciones-administrativas-sin-procedimiento/9788413812328/

GARCÍA-VALDECASAS RODRÍGUEZ DE RIVERA, Pablo (2022), Blockchain y automatización de procedimientos en la Administración Pública, Wolters kluwer, https://tienda.wolterskluwer.es/p/blockchain-y-automatizacion-de-procedimientos-en-la-administracion-publica

GÓMEZ JIMÉNEZ, María Luisa (2021), Automatización procedimental y sesgo electrónico: el procedimiento administrativo electrónico desde la inteligencia artificial (Dúo). Editorial Aranzadi. ISBN: 978-84-1346-877-8. https://libreria.tirant.com/es/libro/automatizacion-procedimental-y-sesgo-electronico-el-procedimiento-administrativo-electronico-desde-la-inteligencia-artificial-e-book-gomez-jimenez-maria-luisa-9788413468761

GÓMEZ JIMÉNEZ, María Luisa (2022), Tecnologías habilitadoras digitales (TDH) en un contexto de emergencia sanitaria, Ed. Tirant lo Blanch, https://editorial.tirant.com/es/libro/tecnologias-habilitadoras-digitales-tdh-en-un-contexto-de-emergencia-sanitaria-maria-luisa-gomez-jimenez-9788411136037

GÓMEZ PUENTE, Marcos (2019), La Administración electrónica. El procedimiento administrativo digital, Aranzadi, Navarra. https://revistasonline.inap.es/index.php/GAPP/article/view/10794

GONZÁLEZ YANES, Jesús Alberto (2017), «El reto big data para la estadística pública»,. Dins Pablo Díaz (coord.), Goberna Escuela de Política y Alto Gobierno del Instituto Universitario de Investigación Ortega y Gasset, Manual sobre utilidades del big data para bienes públicos, Pp. 59-79. Edimema: Madrid

HUERGO LORA, Alejandro (Dir.) y DÍAZ GONZÁLEZ, Gustavo Manuel (Coord.) y otros (2020) La Regulación de los Algoritmos, Aranzadi, Madrid. https://www.academia.edu/43687029/La_regulaci%C3%B3n_de_los_algoritmos_Aranzadi_2020_Dir_Huergo_Lora_Coord_D%C3%ADaz_Gonz%C3%A1lez_

LATORRE, Leticia (2021), El futuro del big data en el ámbito sanitario. las claves jurídicas del tratamiento de los datos de salud, Universidad de Murcia, Murcia. https://digitum.um.es/digitum/bitstream/10201/113326/1/Tesis%20Doctoral%20Leticia%20Latorre%20Luna.pdf

LÓPEZ LATORRE, Andrés Felipe, BELTRÁN SEBEBRENIK, Steffany y Martínez Vargas, Juan Ramón (dir.) (2019): Robótica, Armas y Derecho Internacional, Tirant lo Blanch, Valencia. https://editorial.tirant.com/es/libro/robotica-armas-y-derecho-internacional-juan-ramon-martinez-vargas-9788413135649

MERCHÁN ARRIBAS, Montaña (2020), Guía de uso de la Inteligencia Artificial en el Sector Público, Disponible en; https://www.clubdeinnovacion.es/guia-uso-la-ia-sector-publico/

MONTERROSO CASADO, Esther (dir.) y MUÑOZ VILLAREAL, Alberto (Coord.) y otros (2019): Inteligencia artificial y riesgos cibernéticos. Responsabilidades y asesoramiento, Tirant lo Blanch, Valencia. https://editorial.tirant.com/es/libro/inteligencia-artificial-y-riesgos-ciberneticos-responsabilidades-y-aseguramiento-esther-monterrosso-casado-9788413130125

NUÑEZ ZORRILLA, María del Carmen (2019): Inteligencia artificial y responsabilidad civil régimen jurídico de los daños causados por robots autónomos con inteligencia artificial, Reus, Madrid. https://www.editorialreus.es/libros/inteligencia-artificial-y-responsabilidad-civil/9788429021592/

OBSERVATORIO NACIONAL DE TECNOLOGÍA Y LA SOCIEDAD (2021), Indicadores de uso de Inteligencia Artificial en las empresas españolas. Madrid: Ministerio de Asuntos Económicos y Transformación Digital, Secretaria General Técnica. https://www.ontsi.red.es/es/dossier-de-indicadores-pdf/indicadores-uso-inteligenciaartificialempresas-espanolas

OTTOLIA, Andrea (2019), Derecho, Big Data e Inteligencia Artificial, Tirant lo Blanch, Valencia. https://editorial.tirant.com/es/libro/derecho-big-data-e-inteligencia-artificial-andrea-ottolia-9788413135403

RAMIÓ MATAS, Carles (2019), Inteligencia artificial y Administración Pública: Robots y humanos compartiendo el servicio público, Catarata, Madrid. https://www.catarata.org/libro/inteligencia-artificial-y-administracion-publica_89330/

 ROIG, Antoni (2020), Las garantías frente a las decisiones automatizadas del Reglamento General de Protección de Datos a la gobernanza algorítmica. J.M. Bosch. https://www.marcialpons.es/libros/las-garantias-frente-a-las-decisiones-automatizadas/9788412201574/

SANCHEZ-URÁN, María Yolanda y GRAU RUIZ, María Amparo (Dir.) LORENCINI, Bruno Cesar y FRANCISCO, José Carlos (Coord.) y otros (2019), «Nuevas tecnologías y derecho retos y oportunidades planteados por la inteligencia artificial y la robótica: balance y prospectiva». JURUA, Oporto. https://www.editorialjurua.com/product.php?id=28188

SAN SEGUNDO ENCINAR, José María (Dir. y Coord.) (2017), «Big Data en Salud Digital. Informe de resultados». Red.es. https://www.ontsi.es/index.php/es/estudios-e-informes/Sanidad/Informe-Big-Data-en-Salud-Digital

TERRÓN SANTOS, Daniel y DOMÍNGUEZ ALVÁREZ, José Luis (2022), i-Administración Pública, sistemas algorítmicos y protección de datos, Iustel, https://www.iustel.com/diario_del_derecho/noticia.asp?ref_iustel=1220510&utm_source=DD&utm_medium=email&nl=1&utm_campaign=14/3/2022

VALLS PRIETO, Javier (2021), Las garantías frente a las decisiones automatizadas del Reglamento General de Protección de Datos a la gobernanza algorítmica. J.M. Bosch, https://www.thomsonreuters.es/es/tienda/duo-papel-ebook/c.t.c.n%BA482%BA-21inteligencia-artificial–derechos-humanos-y-bienes-ju-ridicos-cuaderno-num.-48.-tribunal-constitucionalduo/

VALERO TORRIJOS, Julián (Dir.), MARTÍNEZ GUTIERREZ, Rubén (2022), Datos Abiertos y Reutilización de la Información del Sector Público, Comares, Granada, https://www.comares.com/libro/datos-abiertos-y-reutilizacion-de-la-informacion-del-sector-publico_139734/

4.2.2 Capítulos de libros, artículos, notas

DE ASÍS ROIG, Rafael (2014), «Ethics and Robotics. A First Approach», The Age of Human Rights Journal, 2, pp. 1-24. https://revistaselectronicas.ujaen.es/index.php/TAHRJ/article/view/1400

BARRIO ANDRÉS, Moisés (2018), «Robótica, inteligencia artificial y derecho», Real Instituto Elcano ARI 103  http://www.realinstitutoelcano.org/wps/wcm/connect/b7a72224-1d79-4649-8c51-bc0419e40cd4/ARI103-2018-BarrioAndres-Robotica-inteligencia-artificial-derecho.pdf?MOD=AJPERES&CACHEID=b7a72224-1d79-4649-8c51-bc0419e40cd4

CABESTANY, Joan et. al., (2018). «Artificial Intelligence Contribution to eHealth Application», 25th International Conference «Mixed Design of Integrated Circuits and System» (MIXDES).https://www.researchgate.net/publication/326200050_Artificial_Intelligence_Contribution_to_eHealth_Application

CAL PURRIÑOS, Natalia (2021), «Inteligencia Artificial. El uso de los datos de los pacientes», DS: Derecho y Salud, Vol. 31, Extra 1, Pp. 86-91 https://dialnet.unirioja.es/servlet/articulo?codigo=8376373

CARCAR BENITO, Jesús Esteban (2019) «La inteligencia artificial (IA): Aplicación jurídica y regulación en los servicios de salud», DS: Derecho y salud, Vol. 29, Nº. Extra-1, pp. 278-290. https://www.ajs.es/sites/default/files/2020-10/vol29Extra_02_14_Comunicaci%C3%B3n.pdf

CERRILLO I MARTÍNEZ, Agustí (2019), «Com obrir les caixes negres de les administracions públiques? Transparència i rendició de comptes en l’ús dels algoritmes (CA-EN)», Revista Catalana de Dret Public, Vol. 58. http://revistes.eapc.gencat.cat/index.php/rcdp/article/view/10.2436-rcdp.i58.2019.3277

CERRILLO I MARTÍNEZ, Agustí (2019), «El impacto de la inteligencia artificial en el Derecho administrativo ¿Nuevos conceptos para nuevas realidades técnicas?», Revista General de Derecho Administrativo, Vol. 50. http://laadministracionaldia.inap.es/noticia.asp?id=1509574

CERRILLO I MARTÍNEZ, Agustí (2021), «Robots, virtual assistants and automation of public administrations», REGAP: Revista galega de administración pública, Vol 61, Pp. 271-309 https://dialnet.unirioja.es/descarga/articulo/8098296.pdf

CRIADO QUESADA, Blanca, Zorrilla Muñoz, Vanesa, Agulló Tomás, María Silveria (2021), «El uso de tecnologías de asistencia sanitaria digital por parte de la población mayor desde una perspectiva de género e intrageneracional», Teknokultura, Vol. 18, nº. 2, Pp. 103-113.  https://revistas.ucm.es/index.php/TEKN/article/view/74199

COTINO HUESO, Lorenzo, (2017), «Big data e inteligencia artificial. Una aproximación a su tratamiento jurídico desde los derechos fundamentales.» Dilemata. Revista Internacional de Éticas Aplicadas, 2017, Pp. 142 144. https://www.dilemata.net/revista/index.php/dilemata/article/view/412000104

EXPÓSITO GÁZQUEZ, Ariana, (2022), «El principio de interoperabilidad como base para las actuaciones y los servicios administrativos personalizados, proactivos y automatizados». Revista Vasca de Administración Pública. Herri-Arduralaritzako Euskal Aldizkaria, Nº 122, Pp. 45-78 https://apps.euskadi.eus/z16 a5app2/es/t59auUdaWar/R2/verArticulo?numejem=122&tipo=R&seccion=38&correlativo=1&contenido=2&locale=es

FERNÁNDEZ, Carlos (2020) «Estados Unidos presenta diez principios para el desarrollo de la inteligencia artificial», Diario La ley. https://diariolaley.laleynext.es/dll/2020/01/22/estados-unidos-presenta-diez-principios-para-el-desarrollo-de-la-inteligencia-artificial

GALÁN PASCUAL, Carlos (2019) «La certificación como mecanismo de control de la inteligencia artificial en Europa», Instituto Español de Estudios Estratégicos, Vol. 46. https://www.ieee.es/publicaciones-new/

GARCÍA MEXÍA, Pablo y VILLARINO MARZO, Jorge (2021), ¿Qué sociedad digital queremos? Alternativas regulatorias para una Europa digitalmente soberana, Ed. La Ley, Madrid. https://www.fundacionalternativas.org/public/storage/publicaciones_archivos/4a9e89b4185b6c4ef37bfe31580394c0.pdf

HERNÁNDEZ CORCHETE, Juan Antonio (2018), «Expectativa de privacidad, tutela de la intimidad y protección de datos». En: Tomás de la Quadra-Salcedo y José Luis Piñar (dirs.), Sociedad digital y Derecho, pp. 279-300. Madrid: BOE-Red.es. Sociedad digital y derecho (boe.es)

LAUKYTE, Migle (2018), «Robots y sanidad». En: Tomás de la Quadra-Salcedo y José Luis Piñar (dirs.), Sociedad digital y Derecho, pp. 865-880. Madrid: BOE-Red.es. Sociedad digital y derecho (boe.es)

LATORRE, Leticia (2021), «Salud Pública y Big Data: COVID-19. Reflexión jurídica sobre la normativa de datos de salud y de aplicación de herramientas big data en el ámbito de la investigación biomédica y de la asistencia sanitaria», Derecho y Salud, Vol. 31, núm. 1. Pp. 6-21. https://www.ajs.es/es/index-revista-derecho-y-salud/volumen-31-numero-1-2021/salud-publica-y-big-data-covid-19-reflexion 

MADRID PEREZ, Antonio (2021), «La Inteligencia Artificial y la Robótica como motores de cambio del Derecho».  En: ESTÉVEZ ARAUJO, José A. (Edit.), El Derecho ya no es lo que era, Pp. 171-194. Ed. Trotta, Madrid. https://www.trotta.es

MANTELERO, Alessandro (2018), «Ciudadanía y gobernanza digital entre política, ética y derecho». En: Tomás de la Quadra-Salcedo y José Luis Piñar (dirs.), Sociedad digital y Derecho, pp. 159-178. Madrid: BOE-Red.es. Sociedad digital y derecho (boe.es)

MARTÍ MIRAVALLS, Jaume (dir.) y RODILLA MARTÍ, Carmen (Coord.) (2021), Competencia en mercados digitales y sectores regulados, Ed. Tirant lo Blanc, Madrid. https://editorial.tirant.com/es/ebook/competencia-en-mercados-digitales-y-sectores-regulados-jaume-marti-miravalls-9788413972596

MARTÍN DELGADO, Isaac (2018), «El Acceso electrónico a los servicios públicos: hacia un modelo de Administración digital auténticamente innovador». En: Tomás de la Quadra-Salcedo y José Luis Piñar (dirs.), Sociedad digital y Derecho, pp. 179-202. Madrid: BOE-Red.es. Sociedad digital y derecho (boe.es)

MARTÍNEZ MARTÍNEZ, Ricard (2017), «Big data, investigación en salud y protección de datos personales ¿Un falso debate?». Revista Valenciana d’Estudis Autonòmics, Vól. 62, Pp. 235-280. https://roderic.uv.es/handle/10550/65829

MARTÍNEZ MARTÍNEZ, Ricard (2019), «Inteligencia artificial desde el diseño. Retos y estrategias para el cumplimiento normativo», Revista catalana de dret públic, nº. 58, Pp. 64-81. http://revistes.eapc.gencat.cat/index.php/rcdp/article/view/10.2436-rcdp.i58.2019.3317

MARTÍNEZ MARTÍNEZ, Ricard (2018), «Inteligencia artificial, derecho y derechos fundamentales». En: Tomás de la Quadra-Salcedo y José Luis Piñar (dirs.), Sociedad digital y Derecho, pp. 259-278. Madrid: BOE-Red.es. Sociedad digital y derecho (boe.es)

MEDINA GUERRERO, Manuel. (2022). «El derecho a conocer los algoritmos utilizados en la toma de decisiones. Aproximación desde la perspectiva del derecho fundamental a la protección de datos personales». Teoría Y Realidad Constitucional, Vol. 49, Pp. 141-171 https://doi.org/10.5944/trc.49.2022.33847

MORENO REBATO, Mar (2021), Inteligencia artificial (Umbrales éticos Derecho y Administraciones Públicas), Ed. Aranzadi, Pamplona. https://www.thomsonreuters.es/es/tienda/duo-papel-ebook/inteligencia-artificial-umbrales-eticos–derecho-y-administraciones-p-ublicasduo/p/10018701

DE MONTALVO JÄÄSKELÄINEN, Federico (2019). «Una reflexión desde la teoría de los derechos fundamentales sobre el uso secundario de los datos de salud en el marco del Big Data», Revista De Derecho Político, Vol. 1(106), pp. 43–75.b https://doi.org/10.5944/rdp.106.2019.26147

ORTIZ DE ZÁRATE ALCARAZO, Lucía  (2022) «Explicabilidad (de la inteligencia artificial)», EUNOMÍA. Revista En Cultura De La Legalidad, Nº. 22, Pp. 328-344. https://doi.org/10.20318/eunomia.2022.6819

DE LA QUADRA-SALCEDO, Tomás (2018), «Retos, riesgos y oportunidades de la sociedad digital». En: Tomás de la Quadra-Salcedo y José Luis Piñar (dirs.), Sociedad digital y Derecho, pp. 21-87. Madrid: BOE-Red.es. Sociedad digital y derecho (boe.es)

ROMANA GARCÍA, María Luisa y HERNÁNDEZ PARDO, Blanca (2018), «Protección de datos: la «seudoanonimización» inexistente», Derecho y Salud, Vol. 28, Pp. 93-103. https://www.ajs.es/index.php/es/index-revista-derecho-y-salud/volumen-28-numero-1-2018/proteccion-datos-la-seudoanonimizacion

SANTOS GONZÁLEZ, María Jesús (2017), «Regulación legal de la robótica y la inteligencia artificial: retos de futuro», Revista Jurídica de la Universidad de León, Vol. 4, Pp. 25-50. http://revistas.unileon.es/ojs/index.php/juridica/article/view/5285

SARASÍBAR IRIARTE, Miren (2019) «La Cuarta Revolución Industrial: el Derecho Administrativo ante la inteligencia artificial», Revista Vasca de Administración Pública, Vol. 115, Pp. 377-401. https://dialnet.unirioja.es/servlet/articulo?codigo=7210749

PEÑAGARICANO URRUZOLA, Jone (2021). «Inteligentzia artifizialaren erronkak Administrazio publikoan. Revista Vasca de Administración Pública». Herri-Arduralaritzako Euskal Aldizkaria, , Nº 121, Pp. 369-391. https://dialnet.unirioja.es/servlet/articulo?codigo=8429896

PETRONELA POPIUC, María, Jordá Sanz, Carmen (2022), «Aspectos de seguridad algorítmica para una paz inteligente», Diario La Ley, Nº. 10011. https://dialnet.unirioja.es/servlet/articulo?codigo=8290860

VALERO TORRIJOS, Julián (2019), «Las garantías jurídicas de la inteligencia artificial en la actividad administrativa desde la perspectiva de la buena administración», Revista Catalana de Dret Public, Vol. 58, pp. 82-96 http://revistes.eapc.gencat.cat/index.php/rcdp/article/view/10.2436-rcdp.i58.2019.3307

VALERO TORRIJOS, Julián (2018), «La necesaria reconfiguración de las garantías jurídicas en el contexto de la transformación digital del sector público». En: Tomás de la Quadra-Salcedo y José Luis Piñar (dirs.), Sociedad digital y Derecho, pp. 375-396. Madrid: BOE-Red.es. Sociedad digital y derecho (boe.es)

VIDA FERNÁNDEZ, José (2018), «Los retos de la regulación de la inteligencia artificial: algunas aportaciones desde la perspectiva europea». En: Tomás de la Quadra-Salcedo y José Luis Piñar (dirs.), Sociedad digital y Derecho, pp. 203-225. Madrid: BOE-Red.es. Sociedad digital y derecho (boe.es)

ZLOTNIK, Alexander (2019), «Inteligencia Artificial en las Administraciones Públicas: definiciones, evaluación de viabilidad de proyectos y áreas de aplicación», BLOETIC, 84. https://www.astic.es/sites/default/files/articulosboletic/b84_monografico4_alexander_zlotnik_v2-2.pdf

 

4.2.3 Noticias

COLUMBA JEREZ, Alexia (2022), «La industria de la salud ensaya el tratamiento revolucionario del 5G», La Razón, https://www.abc.es/economia/abci-industria-salud-ensaya-tratamiento-revolucionario-202203062319_noticia.html

FORTUNA, Gerardo, bertuzzi, Luca (2022), «LEAK: The EU Commission’s data space for unleashing health data», Euractiv, https://www.euractiv.com/section/digital/news/leak-the-eu-commissions-data-space-for-unleashing-health-data/

KARDOUDI, Omar (2022), «Europa da luz verde a la máquina que sustituirá a los radiólogos», El Confidencial, https://www.elconfidencial.com/tecnologia/novaceno/2022-04-07/ue-permite-inteligencia-artificial-diagnostico-medico_3404741/

 4.3 Estado Unidos, Canadá y Australia

 4.3.1 Monografías e informes

CRAWFORD, Kate (2021) Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence, Yale University Press, New Haven. https://yalebooks.yale.edu/book/9780300209570/atlas-ai

EGGERS, William. D. y HURST, Steve (2017), «Delivering the digital state. What if state government services worked like Amazon?»,  Deloitte Insights. https://www2.deloitte.com/content/dam/insights/us/articles/4226_Digital-state-govt-enterprise/DI_Delivering-the-digital-state.pdf

EGGERS, William D., SCHATSKY, David y VIECHNICKI, Peter (2018), «AI-augmented government. Using cognitive technologies to redesign public sector work», Deloitte University Press. https://www2.deloitte.com/content/dam/insights/us/articles/3832_AI-augmented-government/DUP_AI-augmented-government.pdf

EUBANKS, Virginia (2018), Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor, St. Martin’s Press, New York. https://www.researchgate.net/publication/337578410_Virginia_Eubanks_2018_Automating_Inequality_How_High-Tech_Tools_Profile_Police_and_Punish_the_Poor_New_York_Picador_St_Martin’s_Press

LARSON, Erik J. (2021) The Myth of Artificial Intelligence: Why Computers Can’t Think the Way We Do, Harvard University Press, Cambridge. https://www.hup.harvard.edu/catalog.php?isbn=9780674983519

MIT TECHONOLOGY REVIEW (2019) Asia’s AI Agenda: The Ethics of AI. asiaaiethics.pdf (mittrinsights.s3.amazonaws.com)

ROOSE, Kevin (2021) Futureproof: 9 Rules for Humans in the Age of Automation, Random House, New York.

STANDFORD (2020), Government by Algorithm: Artificial Intelligence in Federal Administrative Agencies (Report submitted to the administrative conference of the United States). https://www-cdn.law.stanford.edu/wp-content/uploads/2020/02/ACUS-AI-Report.pdf

UMOJA NOBLE, Safiya (2018), Algorithms of Oppression: How Search Engines Reinforce Racism, New York University Press, New York. https://nyupress.org/9781479837243/

4.3.2 Capítulos de libros, artículos, notas

ANDERSEN, Lindsay et al. (2018). «Human rights in the age of artificial intelligence». Access Now.org. https://www.accessnow.org/cms/assets/uploads/2018/11/AI-and-Human-Rights.pdf

ARNEY, David et al. (2019). «A User-Focused Transdisciplinary Research Agenda for AI-Enabled Health Tech Governance». Berkman Klein Center (Working Paper). https://cyber.harvard.edu/sites/default/files/2019-02/2019-01_aihealth.pdf?

BABIC, B., GERKE, S., EVGENIOU, T. et al. (2021). «Direct-to-consumer medical machine learning and artificial intelligence applications», Nature Machine Intelligence, núm. 3, Pp. 283. https://doi.org/10.1038/s42256-021-00331-0.

BALKIN, Jack M.  (2015) « The Path of Robotics Law», California Law Review, Circuit 47.  https://www.californialawreview.org/path_robotics_law/

BALKIN, Jack M.  (2017), «The Three Laws of Robotics in the Age of Big Data», Ohio State Law Journal, Vol. 78. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2890965

BALKIN, Jack M.  (2018), «Free Speech in the Algorithmic Society: Big Data, Private Governance, and New School Speech Regulation», UC Davis Law Review, Vol. 51, Pp. 1151-1209. https://lawreview.law.ucdavis.edu/issues/51/3/Essays/51-3_Balkin.pdf

BARTH, Thomas J. y ARNOLD, Eddy (1999), «Artificial Intelligence and Administrative Discretion: Implications for Public Administration», The American Review of Public Administration, Vol. 29(4), Pp. 332-351. https://journals.sagepub.com/doi/10.1177/02750749922064463 

BENKLER, Yochai (2019). «Don’t let industry write the rules for AI». Nature, Vol. 569, Pp. 161. https://www.nature.com/articles/d41586-019-01413-1

CHAN, Sarah (2017) «Bioethics in the Big Data era: health care and beyond», Rev. Bioética y Derecho Vol. 41, Pp. 3-32. https://scielo.isciii.es/scielo.php?pid=S1886-58872017000300002&script=sci_abstract&tlng=en

CALO, Ryan (2017), «Artificial Intelligence Policy: A Primer and Roadmap», UC Davis Law Review, Vol. 51. Pp. 399-435. https://scholar.google.es/citations?view_op=view_citation&hl=nl&user=5PcO_84AAAAJ&citation_for_view=5PcO_84AAAAJ:bEWYMUwI8FkC

CALO, Ryan (2016), Robots as legal metaphors. Harvard Journal of Law & Technology, Vol. 30 (1). Pp- 209-237. https://jolt.law.harvard.edu/assets/articlePDFs/v30/30HarvJLTech209.pdf

CALO, Ryan (2015), «Robotics and the Lessons of Cyberlaw», California Law Review, Vol. 103, pp. 513-563. https://digitalcommons.law.uw.edu/cgi/viewcontent.cgi?article=1022&context=faculty-articles

COGLIANESE, Cary and Lehr, David. (2017), «Regulating by Robot: Administrative Decision in the Machine Learning Era.» Georgetown Law Journal, Forthcoming; U of Penn, Inst for Law & Econ No. 17-8. https://scholarship.law.upenn.edu/faculty_scholarship/1734/

CORTEZ, Nathan (2019), « Digital Health and Regulatory Experimentation at the FDA», Yale J.L. & Tech, Vol. 21, Pp. 4-26. https://yjolt.org/digital-health-and-regulatory-experimentation-fda

CULNANE, C., RUBINSTEIN, B., TEAGUE, V. (2017). «Health Data in an Open World. A report on re-identifying patients in the MBS/PBS Dataset and the Implications for Future Releases of Australian Government data», University of Melbourne. https://arxiv.org/ftp/arxiv/papers/1712/1712.05627.pdf.

ETZIONI, Amitai y ETZIONI, Oren (2016), «Keeping AI legal. Vanderbilt Journal of Entertainment & Technology Law», Vol. 19(1), Pp. 133-146. http://ai2-website.s3.amazonaws.com/publications/Etzioni_AI_Legal_Final.pdf

FARAHANI, Bahar, FIROUZI, Farshad, CHANG, Victor y otros (2018), «Towards Fog-driven IoT eHealth: Promises and Challenges of IoT in Medicine and Healthcare», Future Generation Computer Systems Vol. 78, Pp. 659-676.  https://www.sciencedirect.com/science/article/abs/pii/S0167739X17307677

FERNÁNDEZ GARCÍA, J., Spatharou, A., Jenkins, J., Hieronimus, S. (2020). «Transforming healthcare with AI. The impact on the workforce and organisation», EIT-Health, McKinsey, pág. 29. https://eithealth.eu/wp-content/uploads/2020/03/EIT-Health-and-McKinsey_Transforming-Healthcare-with-AI.pdf

FERNÁNDEZ-RUIZ, I. (2019). «Artificial intelligence to improve the diagnosis of cardiovascular diseases. Nature Reviews Cardiology», Nature Reviews Cardiology núm. 16,Pp. 133. https://doi.org/10.1038/s41569-019-0158-5

FORCIER, M. B., GALLOIS, H., MULLAN, S., & Joly, Y. (2019). «Integrating artificial intelligence into health care through data access: can the GDPR act as a beacon for policymakers? »,  Journal of Law and the Biosciences, vol. 6, núm. 1), pág. 321. https://doi.org/10.1093/jlb/lsz013

FREEMAN, David y HO, (2020) Daniel «Algorithmic Accountability in the Administrative State», Yale Journal on Regulation, Vol. 37, Pp. 800-854. https://digitalcommons.law.yale.edu/cgi/viewcontent.cgi?article=1563&context=yjreg

FROOMKIN, Michael (2019), «Big Data: Destroyer of Informed Consent», Yale J.L. & Tech, Vol 27, Pp. 1-29. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3405482

GAMAGE, Pandula (2016), «New development: Leveraging ‘big data’ analytics in the public sector», Public Money & Management, Vol. 36(5), Pp. 385-390. https://www.tandfonline.com/doi/abs/10.1080/09540962.2016.1194087

GAVOOR, Aram (2021), The Impending Judicial Regulation of Artificial Intelligence in the Administrative State, 97 Notre Dame Law Review Reflection Vol. 180, Available at SSRN: https://ssrn.com/abstract=3931348

GOH, K.H., WANG, L., YEOW, A.Y.K. et al. (2021). «Artificial intelligence in sepsis early prediction and diagnosis using unstructured data in healthcare», Nature Communications, núm. 12,Pp. 711. https://doi.org/10.1038/s41467-021-20910-4.

HAO, K. (2019), «A little-known AI method can train on your health data without threatening your privacy»,  MIT Technology Review. https://www.technologyreview.com/2019/03/11/136710/a-little-known-ai-method-can-train-on-your-health-data-without-threatening-your-privacy/.

HAO, Karen y STRAY, Jonathan (2019), «Can you make AI fairer than a judge? Play our courtroom algorithm game», MIT Technology Review.https://www.technologyreview.com/s/613508/ai-fairer-than-judge-criminal-risk-assessment-algorithm/

HAUG, Charlotte. J. (2016), « Whose Data Are They Anyway? Can a Patient Perspective Advance the Data-Sharing Debate? ». New England Journal of Medicine, Pp. 1 https://www.nejm.org/doi/full/10.1056/nejmp1704485

Hausman, Dave (2021), «The Danger of Rigged Algorithms: Evidence from Immigration Detention Decisions», Available at SSRN: https://ssrn.com/abstract=3877470 or http://dx.doi.org/10.2139/ssrn.3877470

HEAVEN, W.D. (2021). «Hundreds of AI tools have been built to catch covid. None of them helped», MIT Technology Review.  https://www.technologyreview.com/2021/07/30/1030329/machine-learning-ai-failed-covid-hospital-diagnosis-pandemic/

HOREN, T., Niehoff, M. «Artificial Intelligence in Medical Diagnoses and The Right to Explanation», European Data Protection Law Review, vol. 4, núm. 3,Pp. 312. https://doi.org/10.21552/edpl/2018/3/9.

HURVITZ, N., AZMANOV, H., KESLER, A. et al. (2021). «Establishing a second-generation artificial intelligence-based system for improving diagnosis, treatment, and monitoring of patients with rare diseases», European Journal Human Genetics, Vol. 29, Pp. 148-1490 https://doi.org/10.1038/s41431-021-00928-4

HUQ, Aziz Z., (2021), «Artificial Intelligence and the Rule of Law». En MAY, Christopher Routledge Handbook on the Rule of Law, Elgar. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3794777

ISRANI, Ellora Thadaney (2017), « When an Algorithm Helps Send You to Prison», New York Times. https://www.nytimes.com/2017/10/26/opinion/algorithm-compas-sentencing-bias.html

KATWALA, Amit (2018), «How to make algorithms fair when you don’t know what they’re doing», Wired, https://www.wired.co.uk/article/ai-bias-black-box-sandra-wachter

KNIGHT, Will (2019): «How AI could save lives without spilling medical secrets», MIT Technology Review. https://www.technologyreview.com/s/613520/how-ai-could-save-lives-without-spilling-secrets/

KOBAYASHI, N., Shiga, T., Ikumi, S. et al. (2021), «Semi-automated tracking of pain in critical care patients using artificial intelligence: a retrospective observational study»,  Scientific Reports, núm. 11, Pp. 5229. https://doi.org/10.1038/s41598-021-84714-8.

LEHR, David y OHM, Paul (2017), «Playing with the Data: What Legal Scholars Should Learn About Machine Learning», University of California Davies Law Review, Vol. 51, Pp. 653-716. https://lawreview.law.ucdavis.edu/issues/51/2/Symposium/51-2_Lehr_Ohm.pdf

Levmore, Saul y Fagan, Frank (2019), «The Impact of Artificial Intelligence on Rules, Standards, and Judicial Discretion», Southern California Law Review, Vol. 93. Pp. 1-36. https://southerncalifornialawreview.com/wp-content/uploads/2020/01/93_1_Levmore.pdf

LI, Z., JIANG, J., CHEN, K. et al. (2021) «Preventing corneal blindness caused by keratitis using artificial intelligence»,   Nature Communications, núm. 12, Pp. 3738. https://doi.org/10.1038/s41467-021-24116-6.

LOCKE, S., BASHALL, A., AL-ADELY, S., MOORE, J., WILSON, A., KITCHEN, G.B. (2021), «Natural language processing in medicine: A review»,   Trends in Anaesthesia and Critical Care, vol. 38, 2021, Pp. 4-5. https://www.ijert.org/research/natural-language-processing-in-medicine-a-review-IJERTCONV7IS05017.pdf

MACIEJEWSKI, Mariusz (2017), «To do more, better, faster and more cheaply: using big data in public administration»,. International Review of Administrative Sciences, Vol. 83(1), Pp. 120-135. https://journals.sagepub.com/doi/10.1177/0020852316640058

MARGETTS, Helen; Dorobantu, Cosmina (2019). «Rethink government with AI». Nature, Vol. 568, Pp. 163-165. https://www.nature.com/articles/d41586-019-01099-5.

MARTIN, A., Nateqi, J., Gruarin, S. et al. (2020) «An artificial intelligence-based first-line defence against COVID-19: digitally screening citizens for risks via a chatbot»,    Scientific Reports, núm. 10, Pp. 19012. https://doi.org/10.1038/s41598-020-75912-x.

MCHANGAMA, Jacob, LIU, Hin-Yan (2018), The Welfare State Is Committing Suicide by Artificial Intelligence, Foreign Policy https://foreignpolicy.com/2018/12/25/the-welfare-state-is-committing-suicide-by-artificial-intelligence/

MCKINNEY, S.M., Sieniek, M., Godbole, V. et al. (2020). «International evaluation of an AI system for breast cancer screening», Nature, vol. 577,Pp. 89-94. https://doi.org/10.1038/s41586-019-1799-6.

OBERMEYER, Z., POWERS, B., Vogeli, C. y MULLAINATHAN, S. (2019), «Dissecting racial bias in an algorithm used to manage the health of populations», Science, núm. 366 (6464),Pp. 447-453. https://www.science.org/doi/10.1126/science.aax2342

OBERMEYER, Z., TOPOL, E.J. (2021), «Digital Medicine. Artificial intelligence, bias, and patients’ perspectives»,  The Lancet, vol. 397, núm. 10289,Pp. 2038. https://doi.org/10.1016/S0140-6736(21)01152-1.

OBINIKPO, Alex y KANTARCI, Burak (2017), «Big Sensed Data Meets Deep Learning for Smarter Health Care in Smart Cities», Journal of Sensor and Actuator Networks, Vol. 6. Pp. 26. https://www.mdpi.com/2224-2708/6/4/26

PIERSON, E, CUTLER, DM, LESKOVEC, J, MULLAINATHAN S. y OBERMEYER, Z. (2021), «An algorithmic approach to reducing unexplained pain disparities in underserved populations»,  Nature Medicine, vol. 7, núm. 1, Pp. 36-140. https://www.nature.com/articles/s41591-020-01192-7

PRICE, W. Nicholson (2019), « Artificial Intelligence in the Medical System: Four Roles for Potential Transformation», Yale J.L. & Tech, Vol 21. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3341692

PRICE II, N.W. (2015) «Black box medicine»,   Harvard Journal of Law & Technology Vol. 28, núm. 2,Pp. 425, 434. http://jolt.law.harvard.edu/articles/pdf/v28/28HarvJLTech419.pdf

 PRICE, W. Nicholson (2019), «Medical AI and Contextual Bias», Harvard Journal of Law & Technology, Vol. 66. https://papers.ssrn.com/sol3/Papers.cfm?abstract_id=3347890

PRICE, W. Nicholson (2020) «Reducing the global healthcare shortfall using AI», AI For Good. https://aiforgood.itu.int/reducing-the-global-healthcare-shortfall-using-ai/

PRICE, W. Nicholson (2017) «Regulating Black-Box Medicine », MICH. Law Review, Vol. 421. https://aiforgood.itu.int/reducing-the-global-healthcare-shortfall-using-ai/

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