paper-with-me

Papers

The Artificial Intelligence Act: critical overview

2024-08-30 · Nuno Sousa e Silva

This article provides a critical overview of the recently approved Artificial Intelligence Act. It starts by presenting the main structure, objectives, and approach of Regulation (EU) 2024/1689. A definition of key concepts follows, and then the material and territorial scope, as well as the timing of application, are analyzed. Although the Regulation does not explicitly set out principles, the main ideas of fairness, accountability, transparency, and equity in AI underly a set of rules of the regulation. This is discussed before looking at the ill-defined set of forbidden AI practices (manipulation and e exploitation of vulnerabilities, social scoring, biometric identification and classification, and predictive policing). It is highlighted that those rules deal with behaviors rather than AI systems. The qualification and regulation of high-risk AI systems are tackled, alongside the obligation of transparency for certain systems, the regulation of general-purpose models, and the rules on certification, supervision, and sanctions. The text concludes that even if the overall framework can be deemed adequate and balanced, the approach is so complex that it risks defeating its own purpose of promoting responsible innovation within the European Union and beyond its borders.

📄 PDF Abstract BibTeX arXiv:2409.00264

Code (0)

등록된 구현이 없습니다.

Tasks

Fairness

Methods 이 논문이 사용한 방법론

SET Dynamic Sparse Training method where weight mask is updated randomly periodically

Similar Papers 제목 키워드 기반

Stovepiping and Malicious Software: A Critical Review of AGI Containment

2018-11-08 · Jason M. Pittman, Jesus P. Espinoza, Courtney Crosby

Awareness of the possible impacts associated with artificial intelligence has risen in proportion to progress in the field. While there are tremendous benefits to society, many argue that there are just as many, if not m…

Towards Resilient Artificial Intelligence: Survey and Research Issues

2021-09-18 · Oliver Eigner, Sebastian Eresheim, Peter Kieseberg, Lukas Daniel Klausner 외

Artificial intelligence (AI) systems are becoming critical components of today's IT landscapes. Their resilience against attacks and other environmental influences needs to be ensured just like for other IT assets. Consi…

BIG-bench Machine LearningSurvey

A Review of Explainable Artificial Intelligence in Manufacturing

2021-07-05 · Georgios Sofianidis, Jože M. Rožanec, Dunja Mladenić, Dimosthenis Kyriazis

The implementation of Artificial Intelligence (AI) systems in the manufacturing domain enables higher production efficiency, outstanding performance, and safer operations, leveraging powerful tools such as deep learning …

Decision MakingExplainable artificial intelligenceExplainable Artificial Intelligence (XAI)reinforcement-learning+1

Integrating Generative Artificial Intelligence in Intelligent Vehicle Systems

2023-05-15 · Lukas Stappen, Jeremy Dillmann, Serena Striegel, Hans-Jörg Vögel 외

This paper aims to serve as a comprehensive guide for researchers and practitioners, offering insights into the current state, potential applications, and future research directions for generative artificial intelligence…

Ethics

Artificial Intelligence in 3GPP 5G-Advanced: A Survey

2023-05-08 · Xingqin Lin

Industries worldwide are being transformed by artificial intelligence (AI), and the telecom industry is no different. Standardization is critical for industry alignment to achieve widespread adoption of AI in telecom. Th…

Survey