Results 111 to 120 of about 227,255 (301)
AI Ethics in Industry : A Research Framework
Artificial Intelligence (AI) systems exert a growing influence on our society. As they become more ubiquitous, their potential negative impacts also become evident through various real-world incidents.
Abrahamsson, Pekka +2 more
core
Objective Studies of damage accrual in patients with systemic lupus erythematosus (SLE) show associations with disease activity measured by the SLE Disease Activity Index 2000 (SLEDAI‐2K), but these associations are imperfect. SLEDAI scores are powerfully influenced by weightings (1–8) assigned to each domain.
Kevin Zhang +8 more
wiley +1 more source
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
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
Exploring AI Ethics Syllabi Through NLP Cluster Analysis
With new technology comes new responsibilities. Examining AI through an ethical lens has become increasingly important and significant. Numerous professional organizations, such as IEEE have developed AI ethics guidelines.
Kerrie Hooper, Stephanie Lunn
doaj +1 more source
AI Ethics - Critical Reflections on Embedding Ethical Frameworks in AI Technology
Embedding ethical frameworks in artificial intelligence (AI) technologies has been a popular topic for academic research for the past decade [1, 2, 3, 4, 5, 6, 7]. The approaches of the studies differ in how AI technology, ethics, role of technical artefacts and socio-technical aspects of AI are perceived.
openaire +3 more sources
Resolving Ethics Trade-offs in Implementing Responsible AI
While the operationalisation of high-level AI ethics principles into practical AI/ML systems has made progress, there is still a theory-practice gap in managing tensions between the underlying AI ethics aspects.
Schleiger, Emma +4 more
core +1 more source
Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
wiley +1 more source
Ethics dumping in artificial intelligence
Artificial Intelligence (AI) systems encode not just statistical models and complex algorithms designed to process and analyze data, but also significant normative baggage.
Jean-Christophe Bélisle-Pipon +1 more
doaj +1 more source
Scandium (Sc)‐doped AlCoCrFeMo HEA coatings are fabricated via flame spraying with 0.1, 0.3, and 0.5 wt% Sc additions. Among these, the HEA‐Sc0.3 coating exhibits the highest corrosion resistance, indicated by a more positive corrosion potential and lower current density.
Pankaj Kumar +7 more
wiley +1 more source

