Judging machines: philosophical aspects of deep learning

Schubbach, Arno

doi:10.1007/s11229-019-02167-z

Cited by 27 publications

(16 citation statements)

References 26 publications

(8 reference statements)

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“…481 Die folgende Tabelle präsentiert und vergleicht die Zahlen der Treffer pro Ausschreibungskategorie für die Jahre 2014-2019. 482 Treffer im SIS II (2014-2019 SIS II zwischen 2014und 2019 Treffer im SIS I (1997SIS I ( -2009 und SIS II (2014 6 Sicherheitstheoretische und normative Implikationen des SIS in verschiedenen europäischen Ländern unterschiedlich strikten Voraussetzungen.…”

Section: 3unclassified

Legitimität, Sicherheit, Autonomie

Orrù¹

2021

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This book examines the current dynamic and momentous development of European security policy. In doing so, it provides an important and original contribution to both practical philosophy and to the fields of security studies and European studies. Using concrete analyses and by offering possible solutions to certain problems, the book develops an approach that is embedded in reality and which, at the same time, insists on theory and normativity. It focuses on the characteristics of new security technologies and ways in which security is understood as well as their influence on the ‘Copernican Revolution’ of the modern age, through which individuals and the protection of their fundamental rights have become the focus of political legitimation.

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Section: 3unclassified

Legitimität, Sicherheit, Autonomie

Orrù¹

2021

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“…Razlog za to je pre svega specijalizacija težišta istraživanja -inženjeri veštačke inteligencije se bave veštačkim ekspertskim sistemima koji treba da obave određeni zadatak, i usled toga i kompjutacione detalje podređuju programiranju optimalnog obavljanja zadatka umesto biološki i kognitivno realističnom obavljanju zadatka. S druge strane kognitivni naučnici su se našli u živom blatu rasprave o prednostima i manama simbolizma odnosno konekcionizma, i primena postkonekcionističkih modela je stoga više fokusirana na izvlačenje kognitivnih posledica iz, recimo, modela koji je pobedio ljudskog eksperta u korejskoj igri go (Schubbach 2019), nego na brigu u pogledu toga koliko je sam model biološki plauzibilan.…”

Section: Nova Stara Kritika Implementacijeunclassified

The exploratory status of postconnectionist models

Milojević

Subotić

2020

Theoria

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This paper aims to offer a new view of the role of connectionist models in the study of human cognition through the conceptualization of the history of connectionism - from the simplest perceptrons to convolutional neural nets based on deep learning techniques, as well as through the interpretation of criticism coming from symbolic cognitive science. Namely, the connectionist approach in cognitive science was the target of sharp criticism from the symbolists, which on several occasions caused its marginalization and almost complete abandonment of its assumptions in the study of cognition. Criticisms have mostly pointed to its explanatory inadequacy as a theory of cognition or to its biological implausibility as a theory of implementation, and critics often focused on specific shortcomings of some connectionist models and argued that they apply on connectionism in general. In this paper we want to show that both types of critique are based on the assumption that the only valid explanations in cognitive science are instances of homuncular functionalism and that by removing this assumption and by adopting an alternative methodology - exploratory mechanistic strategy, we can reject most objections to connectionism as irrelevant, explain the progress of connectionist models despite their shortcomings and sketch the trajectory of their future development. By adopting mechanistic explanations and by criticizing functionalism, we will reject the objections of explanatory inadequacy, by characterizing connectionist models as generic rather than concrete mechanisms, we will reject the objections of biological implausibility, and by attributing the exploratory character to connectionist models we will show that practice of generalizing current to general failures of connectionism is unjustified. [Project of the Serbian Ministry of Education, Science and Technological Development, Grant no. 179041: Dinamicki sistemi u prirodi i drustvu: filozofski i empirijski aspekti]

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“…18-19 . 10 See Boden 2018 For a discussion on AI methods as applicable to the activities of a judge, see also: Schubbach 2019 . 12 See: Boden 2018.…”

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confidence: 99%

Lawyers and the Machine. Contemplating the Future of Litigation in the Age of AI

Székely

2020

AUSLEG

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The possible impacts of artificial intelligence (AI) on the modern world constitute a complex field of study. In our analysis, we attempt to explore some possible consequences of the utilization of AI in the judicial field both as regarding adjudication, formerly exclusively reserved for human judges, and in the rendering of legal services by attorneys-at-law. We list the main factors influencing technology adoption and analyse the possible paths the automated management and solution of disputes may take. We conclude that the optimal outcome would be a cooperation of human and artificially intelligent factors. We also outline the conditions in which, following the abandonment of the principle of procedural fairness, AI may be directly utilized in judicial procedure. We conclude that big data solutions, such as social rating systems, are particularly concerning as they constitute a conceivable modality of deploying AI to solve litigious disputes without regard to fundamental human rights as understood today.

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Judging machines: philosophical aspects of deep learning

Cited by 27 publications

References 26 publications

Legitimität, Sicherheit, Autonomie

Legitimität, Sicherheit, Autonomie

The exploratory status of postconnectionist models

Lawyers and the Machine. Contemplating the Future of Litigation in the Age of AI

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