LA BÚSQUEDA DE UN MODELO REGULATORIO DE LA IA EN LA UNIÓN EUROPEA

Susana Ruiz Tarrías

doi:10.30827/acfs.v57i.25245

Authors

Susana Ruiz Tarrías Universidad de Granada

DOI:

https://doi.org/10.30827/acfs.v57i.25245

Keywords:

Artificial Intelligence (AI), Regulatory Framework, Fundamental Rights and Freedoms, EU Principles and Values, Regulation (EU) on AI

Abstract

Artificial intelligence (AI) is not just a fashion, but a set of technological
systems that have acquired in recent years an enormous development with
applications to multiple aspects of the daily life of citizens, both by individuals
(companies) and by the States themselves.

The European Union has always been committed to making technological
advances compatible with respect for the principles and values of democracy,
the rule of law and fundamental rights and freedoms. Based on these
premises, it is currently facing the search for a regulatory model for AI, given
the shortcomings of the General Data Protection Regulation (GDPR) in this
area.
The Proposal for a Regulation (EU) on AI aims to adopt a “third way” regulation
of the use of AI inspired by EU principles and values, in contrast to current
“abstentionist” (US) and “hyper-regulatory” (China) formulas, providing a model
that achieves the “Brussels effect” of “trusted” AI for citizens and enterprises
worldwide.

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References

Asimov, I. (2004). Yo, robot. Barcelona: Edhasa.

Barona Vilar, S. (2021). Prólogo. En Barona Vilar, S. (ed.). Justicia Algorítmica y Neuroderecho. Una mirada multidisciplinar. Valencia: Tirant lo Blanch.

Barona Vilar, S. (2019). Inteligencia Artificial o la algoritmización de la vida y de la Justicia: ¿Solución o problema? Revista Boliviana de Derecho, n.º 28.

Burrell, J. (2016). How the machine ‘thinks’: Understanding opacity in machine learning algorithms. Big Data & Society, Juanuary-June, 1-12.

Bostrom, N. (1998). How Long Before Superintelligence? International Journal of Futures Studies, 2.

Buttarelli, G. Ethics. EDPS. https://edps.europa.eu/data-protection/our-work/ethics_en

Davidson, J.E. y Kemp, I.A. (2011). Contemporary Models of Intelligence. En Sternberg R.J. y Kaufman, S.R., The Cambridge Handbook of Intelligence (pp. 54-84). Cambridge Handbooks in Psychology. New York: Cambridge University.

Dumbrava, C. (2021). Artificial Intelligence at EU borders. Overview of applications and key issues. EPRS. European Parliamentary Research Service. PE 690.706.

EDPB-EDPS (2021). Joint Opinion 5/2021, on the Proposal for a Regulation of the European Parliament and of the Council laying down harmonised rules on artificial intelligence (Artificial Intelligence Act).

Edwards, L. y Veale, M. (2017). Enslaving the algorithm? From a ‘right to an explanation’ to a ‘right to better decisions’ Is Probably Not the Remedy You Are Looking For. Duke Law & Technology Review, vol. 16.

EGE (2018). Statement on Artificial Intelligence, Robotics and “Autonomous” Systems. Luxembourg: Publication Office of the European Union.

ENISA (2022). Deploying Pseudonimisation Techniques. The case of the Health

Sector.

EDPS (2021). Decisión on the retention by Europol of datasets lacking Data Subject Categorisation (Cases 2019-0370 & 2021-0699).

Evas, T. (2020). European framework on ethical aspects of artificial intelligence, robotics and related technologies. European added value assessment. Study.

EPRS. European Parliament Research Service. PE 654.179.

Good, I. J. (1965). Speculations Concerning the First Ultraintelligent Machine. En

Franz L.A. y Morris, R. (eds.), Advances in Computers (pp. 31-88). Vol. 6. New York: Academic Press. doi:10. 1016/S0065-2458(08)60418-0

Grupo de Trabajo del Art. 29 (2007). Opinion 4/2007, on the concept of personal data (WP 136/01248/07EN).

Grupo de Trabajo del Art. 20 (2014). Opinion 05/2014, on Anonymisation Techniques (WP 216/08/29/14/EN).

High Level Expert Group on AI (AI HLEG) (2019). Ethics Guidelines for Trustworthy AI. https://www.europarl.europa.eu/cmsdata/196377/AI%20HLEG_Ethics%20Guidelines%20for%20Trustworthy%20AI.pdf.

HM Treasury (2018). The economic value of data: discussion paper. https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/731349/20180730_HMT_Discussion_Paper_-_The_Economic_Value_of_ Data.pdf.

How, M-L. (2019). Future-Ready Strategic Oversight of Multiple Artificial Superintelligence-Enabled Adaptive Learning Systems via Human-Centric Explainable AI-Empowered Predictive Optimizations of Educational Outcomes. Big Data and Cognitive Computing, Issue 3.

Jones, Ch. (2020). Automated Suspicion. The EU’s new travel surveillance initiatives. Statewatch.

Legg, S. (2008). Machine Super Intelligence [Tesis Doctoral]. Universidad de Lugano.

http:/ / www. vetta.org/documents/Machine_Super_Intelligence.pdf.

Madiega, T. (2019). EU Guidelines on ethics in artificial intelligence: Context and implementation. EPRS. European Parliament Research Service.

https:// www.europarl.europa.eu/RegData/etudes/BRIE/2019/640163/EPRS_BRI(2019)640163_EN.pdf.

Mayer-Schönberger, V. y Cukier, K. (2013). Big Data. A Revolution That Will Transform How We Live, Work and Think. London: John Murray.

Mayor, A. (2022). An AI Wake-Up Call from Ancient Greece. April 1, 2022. digi-con.org/an-ai-wake-up-call-from-ancient-greece/.

McCarthy, J., Minsky, M.L., Rochester, N., Shannon, C.E., (1955). A proposal for the Dartmouth Summer Research Projection Artificial Intelligence. www.formal.stanford.edu/jmc/history/dartmouth/dartmouth.html.

Montesinos García, A. (2021). Inteligencia Artificial y ODR. En Barona Vilar, S. (ed.). Justicia algorítmica y Neuroderecho: Una mirada multidisciplinar. Valencia: Tirant lo Blanch.

Muehlhauser, L. y Helm, L. (2012). Intelligence Explosion and Machine Ethics. En Eden, A., Søraker, J., Moor, J.H. y Steinhart, E. (eds.). Singularity Hypotheses: A Scientific and Philosophical Assessment. Berlin: Springer. [utilizada version parcialmente modificada disponible Machine Intelligence Research Institut:

https://intelligence.org/files/IE-ME.pdf?ref=hackernoon.com].

Niu, W. y Brass, J. (2011). Intelligence in Worldwide Perspective. En Sternberg R.J. y Kaufman, S.R., The Cambridge Handbook of Intelligence (pp. 623-645)-Cambridge Handbooks in Psychology. New York: Cambridge University.

O’Neil, C. (2016). Weapons of math destruction. How Big Data increases inequality and threatens democracy. New York: Crown Publishers.

Polonetsky, J., Tene, O. y Jerome, J. (2015). Beyond the Common Rule: Ethical Structures for Data Research in Non-Academic Settings. 13, Colorado Technology Law Journal, 333-368.

Poullet, Y. (2020). Éthique et droits de l’homme à l’heure du numérique. Académie Royal de Belgique. Col. Memorial, Bruxelles.

Poullet, Y. (2021). Le RGPD fase aux défis de l’Intelligence artificielle. Larcier-Centre de Recherche Information Droit et Societé (CRIDS). Faculté de Droit de l’UNamur.

Rossi, F. (2016). Artificial Intelligence: Potential Benefits and Ethical Considerations. Policy Department C: Citizens’ Rights and Constitutional Affairs. European Parliament. PE 571.380.

Spiekermann, S. (2015). Ethical IT Innovation. A Value-Based System Design Approach. Auerbach Publications.

Tosoni, L. (2021). The right to object to automated individual decisions: resolving the ambiguity of Article 22(1) of the General Data Protection Regulation. International Data Privacy Law, vol. 11, n.º 2, 145-162.

Van Dijk, N., Casiraghi, S., y Gutwirth, S. (2021). The ‘Ethificacition’ of ICT Governance. Artificial Intelligence and Data Protection in the European Union. 43, Computer Law & Security Review. https://doi.org/10.1016/j.clsr.2021.105597

Voss, A. (2021). Proyecto de Informe sobre la Inteligencia Artificial en la Era Digital (2020/2266/(INI)). Comisión Especial sobre Inteligencia Artificial en la Era Digital. Parlamento Europeo, 2.11.2021 (PE680.928v01-00).

Walz, A y Firth-Butterfield, K. (2018-2019). Implementing Ethics into Artificial Intelligence: A Contribution, from a Legal Perspective, to the Development of an AI Governance Regime. Duke Law & Technology Review, 17, i-231.

Yampolskiy, R.V. y Duettmann, A. (2020). Artificial Superintelligence. Coordination & Strategy. Printed Edition of the Special Issue Published in Big Data and Cognitive Computing. www.mdpi.com/journal/BDCC.