Results 71 to 80 of about 157,497 (260)

REGULATION (EU) NO. 2024/1689 AND LAW NO. 8/1996 ON COPYRIGHT. LEGISLATIVE, ECONOMIC, AND SOCIAL IMPACT [PDF]

open access: yesChallenges of the Knowledge Society
PwC studies estimate that the integration of AI into the economy could generate a global impact of up to $15.7 trillion by 2030, with other studies limiting this figure to $13 trillion.
Ileana Ioana BÎLBĂ
doaj  

A Robust Governance for the AI Act: AI Office, AI Board, Scientific Panel, and National Authorities

open access: yesEuropean Journal of Risk Regulation
Regulation is nothing without enforcement. This particularly holds for the dynamic field of emerging technologies. Hence, this article has two ambitions.
Claudio Novelli   +4 more
doaj   +1 more source

Artificial Intelligence–Based Online Symptom Assessment Tools for Systemic Lupus Erythematosus Diagnosis: Patient Perspectives

open access: yesArthritis Care &Research, EarlyView.
Objective The objective of this article is to identify perceptions of patients with systemic lupus erythematosus (SLE) regarding artificial intelligence (AI)–based online symptom assessment tools, and the potential of these tools to address diagnostic barriers.
Olivia A. Stein   +7 more
wiley   +1 more source

Avrupa Birliği Yapay Zekâ Kanunu’nun Risk Grupları ve İlgililerin Yükümlülükleri Bağlamında İncelenmesi

open access: yesAnkara Hacı Bayram Veli Üniversitesi Hukuk Fakültesi Dergisi
Avrupa Birliği, gelişen teknolojiler bakımından yapmış olduğu regülasyon çalışmaları ile ön plana çıkmaktadır. Avrupa Birliği Yapay Zeka Kanunu da bu regülasyon çalışmalarından sadece birisidir.
Salih Karadeniz
doaj   +1 more source

The EU AI Act: Law of Unintended Consequences?

open access: yesTechnology and Regulation
After long deliberations, the highly anticipated AI Act is almost there. Although it is yet to be seen what the effects of this landmark regulation are going to be, it is important to already prepare for what can be expected and to identify possible dynamics regarding competencies, implementation, and enforcement.
openaire   +3 more sources

Engagement Patterns with an AI Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

open access: yesArthritis Care &Research, Accepted Article.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed‐methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah   +4 more
wiley   +1 more source

COMPETITION ASPECTS IN THE AI ACT – NAVIGATING THE MURKY WATERS OF THE ABUSIVE PRACTICES IN A DECENTRALISED VIRTUAL WORLD [PDF]

open access: yesChallenges of the Knowledge Society
The whole European construction, based on the three initial European Communities (namely, the European Coal and Steel Community, the European Economic Community and the European Atomic Energy Community) were built with several goals in mind, one of ...
Iulian BĂICULESCU
doaj  

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

open access: yesAdvanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed   +6 more
wiley   +1 more source

Diving into the Iceberg: Establishing Transparency in AI for Law Enforcement

open access: yesEuropean Papers
(Series Information) European Papers - A Journal on Law and Integration, 2024 9(3), 956-977 | Article | (Table of Contents) I. Introduction– II. The Right to Information and Access to Personal Data: Seeing the Tip of the Iceberg – II.1.
Irmak Erdogan
doaj   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

open access: yesAdvanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour   +5 more
wiley   +1 more source

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