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1

Hallevy, Gabriel. Liability for Crimes Involving Artificial Intelligence Systems. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-10124-8.

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2

Quattrocolo, Serena. Artificial Intelligence, Computational Modelling and Criminal Proceedings. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52470-8.

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3

service), SpringerLink (Online, ed. Criminal Justice Forecasts of Risk: A Machine Learning Approach. New York, NY: Springer New York, 2012.

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4

Castella, Eduardo Marcelo. Investigação criminal e informática: Inteligência artificial x boletim de ocorrência (BO), soluções em KMAI. Curitiba: Juruá Editora, 2005.

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5

Procedure, Judicial Conference of the United States Committee on Rules of Practice and. Preliminary draft of proposed amendments to the Federal rules of criminal procedure. Wilmette, Ill. (3201 Old Glenview Rd., Wilmette 60091): Callaghan, 1986.

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6

The presence: A novel. Dallas, Tex: Novel Instincts, 2010.

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7

Montano, Pedro J. La responsabilidad penal de médicos y científicos ante las nuevas tecnologías de la procreación: Con especial referencia a las recomendaciones europeas y al Pacto de San José de Costa Rica. Montevideo: A.M. Fernández, 1991.

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8

Nissan, Ephraim. Computer Applications for Handling Legal Evidence, Police Investigation and Case Argumentation. Dordrecht: Springer Netherlands, 2012.

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9

Pagallo, Ugo. The Laws of Robots: Crimes, Contracts, and Torts. Dordrecht: Springer Netherlands, 2013.

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10

Subrahmanian, V. S. Handbook of Computational Approaches to Counterterrorism. New York, NY: Springer New York, 2013.

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11

Nazi war crimes, US intelligence and selective prosecution at Nuremberg: Controversies regarding the role of the Office of Strategic Services. New York, NY: Routledge-Cavendish, 2007.

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12

Robinson, Paul H. y Dennis J. Baker. Artificial Intelligence and the Law: Cybercrime and Criminal Liability. Taylor & Francis Group, 2020.

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13

Robinson, Paul H. y Dennis J. Baker. Artificial Intelligence and the Law: Cybercrime and Criminal Liability. Taylor & Francis Group, 2020.

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14

Robinson, Paul H. y Dennis J. Baker. Artificial Intelligence and the Law: Cybercrime and Criminal Liability. Taylor & Francis Group, 2020.

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15

Robinson, Paul H. y Dennis J. Baker. Artificial Intelligence and the Law: Cybercrime and Criminal Liability. Taylor & Francis Group, 2020.

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16

Hallevy, Gabriel. When Robots Kill: Artificial Intelligence under Criminal Law. Northeastern University Press, 2013.

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17

Hallevy, Gabriel. When Robots Kill: Artificial Intelligence under Criminal Law. Northeastern University Press, 2013.

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18

Begishev, I. R. y Z. I. Khisamova. ARTIFICIAL INTELLIGENCE AND CRIMINAL LAW. Izdatelstvo Prospekt LLC, 2021. http://dx.doi.org/10.31085/9785392338900-2021-192.

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19

Hallevy, Gabriel. Liability for Crimes Involving Artificial Intelligence Systems. Springer, 2014.

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20

Hallevy, Gabriel. Liability for Crimes Involving Artificial Intelligence Systems. Springer, 2016.

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21

Lohsse, Sebastian, Reiner Schulze y Dirk Staudenmayer, eds. Liability for Artificial Intelligence and the Internet of Things. Nomos Verlagsgesellschaft mbH & Co. KG, 2019. http://dx.doi.org/10.5771/9783845294797.

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2018 witnessed several key developments which have shaped the digital single market. Whereas some issues are now in the final stages of the legislative process, other key topics are in their infancy and therefore require in-depth discussion as to how EU law should react to the challenges and needs of the digital economy. This volume focuses on an issue central to the digital single market: the ‘Liability for Artificial Intelligence and the Internet of Things’. European legislators face the challenge of deciding between adapting existing product liability rules or the creation of a new concept of objective liability for autonomous systems. The 2018 Münster colloquium provided a forum for intense discussion of these questions between renowned experts on digital law and representatives from EU institutions and industry. With contributions by Cristina Amato, Georg Borges, Jean-Sébastien Borghetti, Giovanni Comandé, Ernst Karner, Bernhard Koch, Sebastian Lohsse, Eva Lux, Miquel Martín-Casals, Reiner Schulze, Gerald Spindler, Dirk Staudenmayer, Gerhard Wagner, Herbert Zech
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22

Berk, Richard. Criminal Justice Forecasts of Risk: A Machine Learning Approach. Springer, 2012.

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23

Quattrocolo, Serena. Artificial Intelligence, Computational Modelling and Criminal Proceedings: A Framework for A European Legal Discussion. Springer, 2020.

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24

Barfield, Woodrow y Ugo Pagallo. Advanced Introduction to Law and Artificial Intelligence. Edward Elgar Publishing, 2020. http://dx.doi.org/10.4337/9781789905137.

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Woodrow Barfield and Ugo Pagallo present a succinct introduction to the legal issues related to the design and use of artificial intelligence (AI). Exploring human rights, constitutional law, data protection, criminal law, tort law, and intellectual property law, they consider the laws of a number of jurisdictions including the US, the European Union, Japan, and China, making reference to case law and statutes.
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25

Nissan, Ephraim. Computer Applications for Handling Legal Evidence, Police Investigation and Case Argumentation. Springer, 2016.

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26

From darkest skies. 2018.

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27

Pagallo, Ugo. The Laws of Robots: Crimes, Contracts, and Torts. Springer, 2015.

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28

Natale, Simone. Deceitful Media. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780190080365.001.0001.

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Artificial intelligence (AI) is often discussed as something extraordinary, a dream—or a nightmare—that awakens metaphysical questions on human life. Yet far from a distant technology of the future, the true power of AI lies in its subtle revolution of ordinary life. From voice assistants like Siri to natural language processors, AI technologies use cultural biases and modern psychology to fit specific characteristics of how users perceive and navigate the external world, thereby projecting the illusion of intelligence. Integrating media studies, science and technology studies, and social psychology, Deceitful Media examines the rise of artificial intelligence throughout history and exposes the very human fallacies behind this technology. Focusing specifically on communicative AIs, Natale argues that what we call “AI” is not a form of intelligence but rather a reflection of the human user. Using the term “banal deception,” he reveals that deception forms the basis of all human-computer interactions rooted in AI technologies, as technologies like voice assistants utilize the dynamics of projection and stereotyping as a means for aligning with our existing habits and social conventions. By exploiting the human instinct to connect, AI reveals our collective vulnerabilities to deception, showing that what machines are primarily changing is not other technology but ourselves as humans. Deceitful Media illustrates how AI has continued a tradition of technologies that mobilize our liability to deception and shows that only by better understanding our vulnerabilities to deception can we become more sophisticated consumers of interactive media.
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29

Incayawar, Mario y Sioui Maldonado Bouchard, eds. Overlapping Pain and Psychiatric Syndromes. Oxford University Press, 2020. http://dx.doi.org/10.1093/med/9780190248253.001.0001.

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When a health practitioner is at the bedside of a patient suffering from chronic pain and a psychiatric comorbid condition, he is facing a true clinical conundrum. The comorbidity is frequent yet poorly understood, the diagnosis is difficult and the treatment that follows is less than appropriate. Pain conditions and psychiatric disorders have customarily been understood and treated as different and separate clinical entities, to the detriment of patients’ wellbeing. Fathoming the overlapping pain and psychiatric disorders is in the interest of everyone involved in healthcare, including doctors, nurses, pain specialists, psychiatrists, social workers, psychologists, hospital administrators, and health policymakers. There is a wide overlap of chronic pain conditions and psychiatric disorders. Pain and psychiatric comorbidity is frequent in the population, yet it is poorly understood. The societal burden of mental illness and pain is enormous; it could approach one trillion dollars annually in the USA. Compounding to the economic burden, are the liability related to stigma, shame, bias, discrimination, health disparities, inequities in care, and health injustice. Recent scientific and technological developments in digital medicine, artificial intelligence, pharmacogenetics, genetics, epigenetics, and neuroscience promise beneficial quality changes to medical care and education. The pain medicine and psychiatry of the future will consider patients as human beings embedded in their physical and social environments. This book provides a glimpse in that direction.
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30

Bruns, Alexander, Yuanshi Bu, Hanno Merkt, Sonja Meier, Michael Pawlik, Eiji Takahashi, Silja Vöneky y Jan von Hein, eds. Legal Theory and Interpretation in a Dynamic Society. Nomos Verlagsgesellschaft mbH & Co. KG, 2021. http://dx.doi.org/10.5771/9783748925842.

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This volume is a collection of edited papers presented at the occasion of the 7th Seoul-Freiburg Law Faculties Symposium held in Seoul in September 2019. The cooperation and academic exchange between the Law Faculties of the Seoul National University (SNU) and the Albert-Ludwigs-Universität Freiburg keeping alive an old and precious tradition of close relationship between Korean and German law. The 7th Symposium was devoted to “Legal Theory and Interpretation in a Dynamic Society” and covered a broad range of subjects divided in six sections on I. Legal Theory and Interpretation, II. Enterprise Law, III. International Private Law and Civil Procedure Law, IV. Artificial Intelligence Law, Property Law, Criminal Law. V. Contract Law, and VI. the Relation of Supranational and Domestic Constitutional Law. Most of the papers presented at the Symposium are collected in this volume.
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