Woodrow Barfield and Ugo Pagallo, <i>Advanced Introduction to Law and Artificial Intelligence</i> reviewed by Carolin Kemper

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Prometheus

Volume 37, Issue 4

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Woodrow Barfield and Ugo Pagallo, Advanced Introduction to Law and Artificial Intelligence reviewed by Carolin Kemper

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Author(s): Carolin Kemper ¹ ^, ^* ^,

Publication date Pub: 28 March 2022

Journal: Prometheus

Publisher: Pluto Journals

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Journal

Journal ID (doi): 10.13169/prometheus.37.4.0404

Title: Prometheus

Abbreviated Title: PROM

Publisher: Pluto Journals

ISSN (Electronic): 1470-1030

Publication date Pub: 28 March 2022

Publication date Collection: 2022

Volume: 37

Issue: 4

Pages: 404-408

Affiliations

[1 ]German Research Institute for Public Administration 67346 Speyer, Germany

Author notes

[* ] Correspondence: Carolin Kemper ( kemper@ 123456foev-speyer.de )

Article

DOI: 10.13169/prometheus.37.4.0404

SO-VID: 16b39834-73e0-4c30-ae9a-f13285314462

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All content is freely available without charge to users or their institutions. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles in this journal without asking prior permission of the publisher or the author. Articles published in the journal are distributed under a http://creativecommons.org/licenses/by/4.0/.

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Pages: 5

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Advanced Introduction to Law and Artificial Intelligence by Woodrow Barfield Ugo Pagallo (2020) Edward Elgar, Cheltenham, 208pp., hardback £85, ISBN 978 178990 5144.

References

W. Barfield and U. Pagallo (2018) Research Handbook on the Law of Artificial Intelligence, Edward Elgar, Cheltenham.
N. Bostrom (2014) Superintelligence: Paths, Dangers, Strategies, Oxford University Press, Oxford.
S. Chopra and L. White (2011) A Legal Theory for Autonomous Artificial Agents, University of Michigan Press, Ann Arbor.
F. Doshi-Velez, M. Kortz, R. Budish, C. Bavitz, S. Gershman, D. O’Brien, K. Scott, S. Schieber, J. Waldo, D. Weinberger, A. Weller and A. Wood (2017) ‘Accountability of AI under the law: the role of explanation’, arXiv preprint arXiv:1711.01134.
L. Edwards and M. Veale (2017) ‘Slave to the algorithm: why a right to an explanation is probably not the remedy you are looking for’, Duke Law and Technology Review, 16, pp.18–84.
E. Esposito (2017) ‘Artificial communication? The production of contingency by algorithms’, Zeitschrift für Soziologie, 46, pp.249–65.
D. Gunkel (2018) Robot Rights, MIT Press, Cambridge MA.
M. Lamo and R. Calo (2019) ‘Regulating bot speech’, University of California Los Angeles Law Review, 66, pp.988–1028.
D. Lehr and P. Ohm (2017) ‘Playing with the data: what legal scholars should learn about machine learning’, University of California Davis Law Review, 51, pp.653–717.
T. Massaro and H. Norton (2016) ‘Siri-ously? Free speech rights and artificial intelligence’, Northwestern University Law Review, 110, pp.1169–94.
J. Pearl (2019) The Book of Why: The New Science of Cause and Effect, Penguin Books, Harmondsworth.
A. Romero (2021) ‘OpenAI opens GPT-3 for everyone’, Medium, 20 November, available at https://towardsdatascience.com/openai-opens-gpt-3-for-everyone-fb7fed309f6 (accessed November 2021 ).
B. Sander (2020) ‘Freedom of expression in the age of online platforms: the promise and pitfalls of a human rights-based approach to content moderation, Fordham International Law Journal, 43, pp.939–1006.
G. Sartor (2009) ‘Cognitive automata and the law electronic contracting and the intentionality of software agents’, Artificial Intelligence and Law, 17, pp.253–90.
H. Surden (2014) ‘Machine learning and law’, Washington Law Review, 89, 1, 86–115.
A. Tutt (2017) ‘An FDA for algorithms’, Administrative Law Review, 69, 1, pp.83–123.
S. Wachter, B. Mittelstadt and C. Russell (2018) ‘Counterfactual explanations without opening the black box: automated decisions and the GDPR’, Harvard Journal of Law and Technology, 31, 2, pp.841–87.

Comments

Comment on this article

[1] W. Barfield and U. Pagallo (2018) Research Handbook on the Law of Artificial Intelligence, Edward Elgar, Cheltenham.

[2] N. Bostrom (2014) Superintelligence: Paths, Dangers, Strategies, Oxford University Press, Oxford.

[3] S. Chopra and L. White (2011) A Legal Theory for Autonomous Artificial Agents, University of Michigan Press, Ann Arbor.

[4] F. Doshi-Velez, M. Kortz, R. Budish, C. Bavitz, S. Gershman, D. O’Brien, K. Scott, S. Schieber, J. Waldo, D. Weinberger, A. Weller and A. Wood (2017) ‘Accountability of AI under the law: the role of explanation’, arXiv preprint arXiv:1711.01134.

[5] L. Edwards and M. Veale (2017) ‘Slave to the algorithm: why a right to an explanation is probably not the remedy you are looking for’, Duke Law and Technology Review, 16, pp.18–84.

[6] E. Esposito (2017) ‘Artificial communication? The production of contingency by algorithms’, Zeitschrift für Soziologie, 46, pp.249–65.

[7] D. Gunkel (2018) Robot Rights, MIT Press, Cambridge MA.

[8] M. Lamo and R. Calo (2019) ‘Regulating bot speech’, University of California Los Angeles Law Review, 66, pp.988–1028.

[9] D. Lehr and P. Ohm (2017) ‘Playing with the data: what legal scholars should learn about machine learning’, University of California Davis Law Review, 51, pp.653–717.

[10] T. Massaro and H. Norton (2016) ‘Siri-ously? Free speech rights and artificial intelligence’, Northwestern University Law Review, 110, pp.1169–94.

[11] J. Pearl (2019) The Book of Why: The New Science of Cause and Effect, Penguin Books, Harmondsworth.

[12] A. Romero (2021) ‘OpenAI opens GPT-3 for everyone’, Medium, 20 November, available at https://towardsdatascience.com/openai-opens-gpt-3-for-everyone-fb7fed309f6 (accessed November 2021 ).

[13] B. Sander (2020) ‘Freedom of expression in the age of online platforms: the promise and pitfalls of a human rights-based approach to content moderation, Fordham International Law Journal, 43, pp.939–1006.

[14] G. Sartor (2009) ‘Cognitive automata and the law electronic contracting and the intentionality of software agents’, Artificial Intelligence and Law, 17, pp.253–90.

[15] H. Surden (2014) ‘Machine learning and law’, Washington Law Review, 89, 1, 86–115.

[16] A. Tutt (2017) ‘An FDA for algorithms’, Administrative Law Review, 69, 1, pp.83–123.

[17] S. Wachter, B. Mittelstadt and C. Russell (2018) ‘Counterfactual explanations without opening the black box: automated decisions and the GDPR’, Harvard Journal of Law and Technology, 31, 2, pp.841–87.