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Minds and Machines, Volume 34
Volume 34, Number 1, February 2024
- Juan Luis Gastaldi:
Computing Cultures: Historical and Philosophical Perspectives. 1-10 - Michael Friedman:
Leibniz and the Stocking Frame: Computation, Weaving and Knitting in the 17th Century. 11-28 - Edgar G. Daylight:
True Turing: A Bird's-Eye View. 29-49 - Troy K. Astarte:
From Monitors to Monitors: A Primitive History. 51-71 - Cliff B. Jones:
Three Early Formal Approaches to the Verification of Concurrent Programs. 73-92 - David Waszek:
Informational Equivalence but Computational Differences? Herbert Simon on Representations in Scientific Practice. 93-116 - Cesare Carissimo, Marcin Korecki:
Limits of Optimization. 117-137 - Alessandro Giuseppe Buda, Giuseppe Primiero:
A Pragmatic Theory of Computational Artefacts. 139-170 - Dionysis Christias:
Contentless Representationalism? A Neglected Option Between Radical Enactivist and Predictive Processing Accounts of Representation. 1 - Marcelo de Araújo, Guilherme da Franca Couto Fernandes de Almeida, José Luiz Nunes:
Epistemology Goes AI: A Study of GPT-3's Capacity to Generate Consistent and Coherent Ordered Sets of Propositions on a Single-Input-Multiple-Outputs Basis. 2 - Rosalie A. Waelen:
Philosophical Lessons for Emotion Recognition Technology. 3 - Sven Nyholm:
Gamification, Side Effects, and Praise and Blame for Outcomes. 4 - Luciano Floridi, Anna Christina Nobre:
Anthropomorphising Machines and Computerising Minds: The Crosswiring of Languages between Artificial Intelligence and Brain & Cognitive Sciences. 5 - Kristian Gonzalez Barman, Sascha Caron, Tom Claassen, Henk W. de Regt:
Towards a Benchmark for Scientific Understanding in Humans and Machines. 6 - Marcin Korecki, Guillaume Köstner, Emanuele Martinelli, Cesare Carissimo:
The Man Behind the Curtain: Appropriating Fairness in AI. 7 - Carl Öhman:
We are Building Gods: AI as the Anthropomorphised Authority of the Past. 8
Volume 34, Number 2, June 2024
- Marta Ziosi, David S. Watson, Luciano Floridi:
A Genealogical Approach to Algorithmic Bias. 9 - Jonas Aaron Carstens, Dennis Friess:
AI Within Online Discussions: Rational, Civil, Privileged? 10 - Cem Kozcuer, Anne Mollen, Felix Bießmann:
Towards Transnational Fairness in Machine Learning: A Case Study in Disaster Response Systems. 11 - Roel Dobbe, Anouk Wolters:
Toward Sociotechnical AI: Mapping Vulnerabilities for Machine Learning in Context. 12 - Kostina Prifti, Jessica Morley, Claudio Novelli, Luciano Floridi:
Regulation by Design: Features, Practices, Limitations, and Governance Implications. 13 - Peter R. Lewis, Stefan Sarkadi:
Reflective Artificial Intelligence. 14 - Tobias D. Krafft, Marc P. Hauer, Katharina Anna Zweig:
Black-Box Testing and Auditing of Bias in ADM Systems. 15 - Kjell Jørgen Hole:
Tool-Augmented Human Creativity. 16
Volume 34, Number 3, September 2024
- Philip N. Johnson-Laird, Ruth M. J. Byrne, Sangeet S. Khemlani:
Models of Possibilities Instead of Logic as the Basis of Human Reasoning. 19 - Beate Krickel:
The New Mechanistic Approach and Cognitive Ontology - Or: What Role do (Neural) Mechanisms Play in Cognitive Ontology? 17 - Luke Kersten:
The Hierarchical Correspondence View of Levels: A Case Study in Cognitive Science. 18 - Shannon Vallor, Tillmann Vierkant:
Find the Gap: AI, Responsible Agency and Vulnerability. 20 - Olya Kudina, Ibo van de Poel:
A sociotechnical system perspective on AI. 21 - Marie Theresa O'Connor:
In the Craftsman's Garden: AI, Alan Turing, and Stanley Cavell. 22 - Mattia Fumagalli, Roberta Ferrario, Giancarlo Guizzardi:
A Teleological Approach to Information Systems Design. 23 - Daria Szafran, Ruben L. Bach:
"The Human Must Remain the Central Focus": Subjective Fairness Perceptions in Automated Decision-Making. 24 - Simon Coghlan:
Anthropomorphizing Machines: Reality or Popular Myth? 25 - Carina Prunkl:
Human Autonomy at Risk? An Analysis of the Challenges from AI. 26 - Luigi Scorzato:
Reliability and Interpretability in Science and Deep Learning. 27 - Fernanda Odilla:
Unfairness in AI Anti-Corruption Tools: Main Drivers and Consequences. 28 - Majid Davoody Beni:
Measure for Measure: Operationalising Cognitive Realism. 29 - Andrea Ferrario, Alessandro Facchini, Alberto Termine:
Experts or Authorities? The Strange Case of the Presumed Epistemic Superiority of Artificial Intelligence Systems. 30 - Abra Ganz, Martina Camellini, Emmie Hine, Claudio Novelli, Huw Roberts, Luciano Floridi:
Submarine Cables and the Risks to Digital Sovereignty. 31 - Timo Freiesleben, Gunnar König, Christoph Molnar, Álvaro Tejero-Cantero:
Scientific Inference with Interpretable Machine Learning: Analyzing Models to Learn About Real-World Phenomena. 32 - Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca:
Toward a Responsible Fairness Analysis: From Binary to Multiclass and Multigroup Assessment in Graph Neural Network-Based User Modeling Tasks. 33 - Sander Beckers, Hana Chockler, Joseph Y. Halpern:
A Causal Analysis of Harm. 34 - Roel Dobbe, Anouk Wolters:
Correction to: Toward Sociotechnical AI: Mapping Vulnerabilities for Machine Learning in Context. 35
Volume 34, Number 4, December 2024
- Claudio Novelli, Giuliano Formisano, Prathm Juneja, Giulia Sandri, Luciano Floridi:
Artificial Intelligence for the Internal Democracy of Political Parties. 36 - Dominik Bachmann, Oskar van der Wal, Edita Chvojka, Willem H. Zuidema, Leendert van Maanen, Katrin Schulz:
fl-IRT-ing with Psychometrics to Improve NLP Bias Measurement. 37 - Kassandra Karpathakis, Jessica Morley, Luciano Floridi:
A Justifiable Investment in AI for Healthcare: Aligning Ambition with Reality. 38 - Thilo Hagendorff:
Mapping the Ethics of Generative AI: A Comprehensive Scoping Review. 39 - Wing Yi So, Karl J. Friston, Victorita Neacsu:
The Inherent Normativity of Concepts. 40 - Alex John London, Hoda Heidari:
Beneficent Intelligence: A Capability Approach to Modeling Benefit, Assistance, and Associated Moral Failures Through AI Systems. 41 - Éloïse Boisseau:
Imitation and Large Language Models. 42 - Anders Søgaard:
Is Unsupervised Clustering Somehow Truer? 43 - Re'em Segev:
Artificial Intelligence, Discrimination, Fairness, and Other Moral Concerns. 44 - Andrés Páez:
Understanding with Toy Surrogate Models in Machine Learning. 45
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