The European AI Liability Directives -- Critique of a Half-Hearted Approach and Lessons for the Future

25 November 2022

Papers citing "The European AI Liability Directives -- Critique of a Half-Hearted Approach and Lessons for the Future"

24 / 24 papers shown

Title
Building Symbiotic AI: Reviewing the AI Act for a Human-Centred, Principle-Based Framework Miriana Calvano Antonio Curci Giuseppe Desolda Andrea Esposito Rosa Lanzilotti Antonio Piccinno 92 1 0 14 Jan 2025
The Opaque Law of Artificial Intelligence Vincenzo Calderonio AILaw 52 1 0 19 Oct 2023
The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus Anna Hedström P. Bommer Kristoffer K. Wickstrom Wojciech Samek Sebastian Lapuschkin Marina M.-C. Höhne 70 21 0 14 Feb 2023
Regulating ChatGPT and other Large Generative AI Models P. Hacker A. Engel M. Mauer AILaw 67 340 0 05 Feb 2023
Toward a realistic model of speech processing in the brain with self-supervised learning Juliette Millet Charlotte Caucheteux Pierre Orhan Yves Boubenec Alexandre Gramfort Ewan Dunbar Christophe Pallier J. King 51 97 0 03 Jun 2022
Fairness and Explainability in Automatic Decision-Making Systems. A challenge for computer science and law Thierry Kirat Olivia Tambou Virginie Do A. Tsoukiás FaML 43 14 0 14 May 2022
Compute and Energy Consumption Trends in Deep Learning Inference Radosvet Desislavov Fernando Martínez-Plumed José Hernández-Orallo 49 114 0 12 Sep 2021
Gradual (In)Compatibility of Fairness Criteria Corinna Hertweck T. Raz 53 12 0 09 Sep 2021
Demystifying the Draft EU Artificial Intelligence Act Michael Veale Frederik J. Zuiderveen Borgesius 56 351 0 08 Jul 2021
Pre-Trained Models: Past, Present and Future Xu Han Zhengyan Zhang Ning Ding Yuxian Gu Xiao Liu ... Jie Tang Ji-Rong Wen Jinhui Yuan Wayne Xin Zhao Jun Zhu AIFin MQ AI4MH 130 846 0 14 Jun 2021
Carbon Emissions and Large Neural Network Training David A. Patterson Joseph E. Gonzalez Quoc V. Le Chen Liang Lluís-Miquel Munguía D. Rothchild David R. So Maud Texier J. Dean AI4CE 331 667 0 21 Apr 2021
Human-AI Interactions in Public Sector Decision-Making: "Automation Bias" and "Selective Adherence" to Algorithmic Advice Saar Alon-Barkat M. Busuioc MLAU 15 120 0 03 Mar 2021
Why Fairness Cannot Be Automated: Bridging the Gap Between EU Non-Discrimination Law and AI Sandra Wachter Brent Mittelstadt Chris Russell FaML 53 280 0 12 May 2020
Algorithmic Fairness Dana Pessach E. Shmueli FaML 53 389 0 21 Jan 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 116 6,251 0 22 Oct 2019
Unpredictability of AI Roman V. Yampolskiy 49 30 0 29 May 2019
Unmasking Clever Hans Predictors and Assessing What Machines Really Learn Sebastian Lapuschkin S. Wäldchen Alexander Binder G. Montavon Wojciech Samek K. Müller 84 1,009 0 26 Feb 2019
Explaining Explanations in AI Brent Mittelstadt Chris Russell Sandra Wachter XAI 85 664 0 04 Nov 2018
The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation Miles Brundage S. Avin Jack Clark H. Toner P. Eckersley ... Owain Evans Michael Page Joanna J. Bryson Roman V. Yampolskiy Dario Amodei 71 705 0 20 Feb 2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey Naveed Akhtar Ajmal Mian AAML 83 1,863 0 02 Jan 2018
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR Sandra Wachter Brent Mittelstadt Chris Russell MLAU 98 2,348 0 01 Nov 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 975 21,815 0 22 May 2017
Inherent Trade-Offs in the Fair Determination of Risk Scores Jon M. Kleinberg S. Mullainathan Manish Raghavan FaML 99 1,767 0 19 Sep 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.0K 16,931 0 16 Feb 2016