Results 111 to 120 of about 200,089 (297)
Knowledge Graphs for Responsible AI [PDF]
Responsible AI is built upon a set of principles that prioritize fairness, transparency, accountability, and inclusivity in AI development and deployment. As AI systems become increasingly sophisticated, including the explosion of generative AI, there is
Mihindukulasooriya, Nandana +3 more
core +2 more sources
Sustainable AI-based Credit Scoring: A Way to Shift from Responsible AI to Sustainable AI
With the development of artificial intelligence (AI), a variety of opportunities have emerged to implement machine learning solutions to real world problems.
Mócza-Muráncsik, Erika Mária
core
Responsible Generative AI for SMEs in UK and Africa (RAISE) - A Platform AI Case Study
This report presents a series of case studies developed under the Responsible Generative AI for SMEs in the UK and Africa (RAISE) project, examining how small and medium-sized enterprises (SMEs) understand, adopt, and operationalise generative AI in ...
Ochang, Paschal +3 more
core +1 more source
Arthritis Care &Research, EarlyView.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
A Lifecycle Approach for Artificial Intelligence Ethics in Energy Systems
EnergiesDespite the increasing prevalence of artificial intelligence (AI) ethics frameworks, the practical application of these frameworks in industrial settings remains limited. This limitation is further augmented in energy systems by the complexity of systems
Nicole El-Haber +6 more
doaj +1 more source
FairSense-AI: Responsible AI Meets Sustainability
CoRRIn this paper, we introduce FairSense-AI: a multimodal framework designed to detect and mitigate bias in both text and images. By leveraging Large Language Models (LLMs) and Vision-Language Models (VLMs), FairSense-AI uncovers subtle forms of prejudice or stereotyping that can appear in content, providing users with bias scores, explanatory highlights,
Shaina Raza +4 more
openaire +2 more sources
This report presents a series of case studies developed under the Responsible Generative AI for SMEs in the UK and Africa (RAISE) project, examining how small and medium-sized enterprises (SMEs) understand, adopt, and operationalise generative AI in ...
Ochang, Paschal +3 more
core +1 more source
Arthritis 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
AI Risk Management: A Bibliometric Analysis
RisksThe growth of Artificial Intelligence applications requires the development of risk management models that can balance opportunities with risks. This paper contributes to the development of Artificial Intelligence risk management models by means of a ...
Adelaide Emma Bernardelli, Paolo Giudici
doaj +1 more source
Advanced 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