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ORCIDMinds and Machines, Volume 32
Volume 32, Number 1, March 2022
- Florian J. Boge, Paul Grünke, Rafaela Hillerbrand:
Minds and Machines Special Issue: Machine Learning: Prediction Without Explanation? 1-9 - Gabe Dupre
:
Correction to: (What) Can Deep Learning Contribute to Theoretical Linguistics? 11 - Falco J. Bargagli Stoffi, Gustavo Cevolani, Giorgio Gnecco:
Simple Models in Complex Worlds: Occam's Razor and Statistical Learning Theory. 13-42 - Florian J. Boge:
Two Dimensions of Opacity and the Deep Learning Predicament. 43-75 - Timo Freiesleben:
The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples. 77-109 - Hajo Greif:
Analogue Models and Universal Machines. Paradigms of Epistemic Transparency in Artificial Intelligence. 111-133 - Nardi Lam:
Explanations in AI as Claims of Tacit Knowledge. 135-158 - Sanja Sreckovic, Andrea Berber, Nenad Filipovic:
The Automated Laplacean Demon: How ML Challenges Our Views on Prediction and Explanation. 159-183 - David S. Watson, Limor Gultchin, Ankur Taly, Luciano Floridi:
Local Explanations via Necessity and Sufficiency: Unifying Theory and Practice. 185-218 - Carlos Zednik, Hannes Boelsen:
Scientific Exploration and Explainable Artificial Intelligence. 219-239
Volume 32, Number 2, June 2022
- Jakob Mökander, Maria Axente, Federico Casolari, Luciano Floridi:
Conformity Assessments and Post-market Monitoring: A Guide to the Role of Auditing in the Proposed European AI Regulation. 241-268 - Sadjad Soltanzadeh:
Strictly Human: Limitations of Autonomous Systems. 269-288 - Davide Coraci:
A Unified Model of Ad Hoc Concepts in Conceptual Spaces. 289-309 - Yves Bouchard:
Dretske and Informational Closure. 311-322 - Mitchell S. Green, Jan G. Michel:
What Might Machines Mean? 323-338 - Mitchell S. Green, Jan G. Michel:
Correction to: What Might Machines Mean? 339 - Adam Sobieszek, Tadeusz Price:
Playing Games with Ais: The Limits of GPT-3 and Similar Large Language Models. 341-364 - David H. Ménager, Dongkyu Choi, Sarah K. Robins:
A Hybrid Theory of Event Memory. 365-394 - Abel Wajnerman Paz:
Is Your Neural Data Part of Your Mind? Exploring the Conceptual Basis of Mental Privacy. 395-415
Volume 32, Number 3, September 2022
- Umut Baysan:
Are Propositional Attitudes Mental States? 417-432 - Nina Poth:
Schema-Centred Unity and Process-Centred Pluralism of the Predictive Mind. 433-459 - Danaja Rutar, Wanja Wiese, Johan Kwisthout:
From representations in predictive processing to degrees of representational features. 461-484 - Joaquín Borrego-Díaz, Juan Galán Páez:
Explainable Artificial Intelligence in Data Science. 485-531 - Robyn Repko Waller, Russell L. Waller:
Assembled Bias: Beyond Transparent Algorithmic Bias. 533-562 - Stefan Buijsman:
Defining Explanation and Explanatory Depth in XAI. 563-584 - Alison Duncan Kerr, Kevin Scharp:
The End of Vagueness: Technological Epistemicism, Surveillance Capitalism, and Explainable Artificial Intelligence. 585-611
Volume 32, Number 4, December 2022
- Mario Günther:
Causal and Evidential Conditionals. 613-626 - Hermann Moisl:
Dynamical Systems Implementation of Intrinsic Sentence Meaning. 627-653 - Fabian Beigang:
On the Advantages of Distinguishing Between Predictive and Allocative Fairness in Algorithmic Decision-Making. 655-682 - Beverley A. Townsend, Colin Paterson, T. T. Arvind, Gabriel Nemirovsky, Radu Calinescu, Ana Cavalcanti, Ibrahim Habli, Alan Thomas:
From Pluralistic Normative Principles to Autonomous-Agent Rules. 683-715 - Selene Arfini, Davide Spinelli, Daniele Chiffi:
Ethics of Self-driving Cars: A Naturalistic Approach. 717-734 - Paula Sweeney:
Why Indirect Harms do not Support Social Robot Rights. 735-749 - Jakob Mökander, Prathm Juneja, David S. Watson, Luciano Floridi:
The US Algorithmic Accountability Act of 2022 vs. The EU Artificial Intelligence Act: what can they learn from each other? 751-758 - Lidia Flores, Sean D. Young:
Ethical Considerations in the Application of Artificial Intelligence to Monitor Social Media for COVID-19 Data. 759-768
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