Results 71 to 80 of about 1,042,676 (182)

External validation of AI-based scoring systems in the ICU: a systematic review and meta-analysis

BMC Medical Informatics and Decision Making
Background Machine learning (ML) is increasingly used to predict clinical deterioration in intensive care unit (ICU) patients through scoring systems.
Patrick Rockenschaub, Ela Marie Akay, Benjamin Gregory Carlisle, Adam Hilbert, Joshua Wendland, Falk Meyer-Eschenbach, Anatol-Fiete Näher, Dietmar Frey, Vince Istvan Madai   +8 more
doaj   +1 more source

Model Cards for Model Reporting

, 2019
Trained machine learning models are increasingly used to perform high-impact tasks in areas such as law enforcement, medicine, education, and employment.
Barnes, Parker, Gebru, Timnit, Hutchinson, Ben, Mitchell, Margaret, Raji, Inioluwa Deborah, Spitzer, Elena, Vasserman, Lucy, Wu, Simone, Zaldivar, Andrew   +8 more
core   +1 more source

Responsible AI: requirements and challenges [PDF]

AI Perspectives, 2019
This position paper discusses the requirements and challenges for responsible AI with respect to two interdependent objectives: (i) how to foster research and development efforts toward socially beneficial applications, and (ii) how to take into account and mitigate the human and social risks of AI systems.
openaire   +2 more sources

A Lifecycle Approach for Artificial Intelligence Ethics in Energy Systems

Energies
Despite 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, Donna Burnett, Alison Halford, Kathryn Stamp, Daswin De Silva, Milos Manic, Andrew Jennings   +6 more
doaj   +1 more source

AI Risk Management: A Bibliometric Analysis

Risks
The 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

FairSense-AI: Responsible AI Meets Sustainability

In 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,
Raza, Shaina, Chettiar, Mukund Sayeeganesh, Yousefabadi, Matin, Khan, Tahniat, Lotif, Marcelo   +4 more
openaire   +2 more sources

SAFE AI metrics: An integrated approach

Machine Learning with Applications
We contribute to the field of AI governance with the development of a unified compliance metric that integrates three key dimensions of SAFE Artificial Intelligence: Security, Accuracy, and Explainability.
Paolo Giudici, Vasily Kolesnikov
doaj   +1 more source

Enhancing web supported learning in higher education by adding a management layer to LMSs [PDF]

, 2006
There are many situations in the e-Learning experiences that can compromise the success of the courses. Many times simple reasons are great enough to motivate people to abandon them.
Pinto, Carlos Sousa, Ramos, Fernando M. S.   +1 more
core   +1 more source

Meaningful Human Control and Responsibility Gaps in AI: No Culpability Gap, but Accountability and Active Responsibility Gap

Journal of Integrative and Innovative Humanities
At the current stage of technological development, the rapid advancement of Artificial Intelligence (AI) has given rise to various ethical concerns. Among these, the “Responsibility Gap” notion has appeared as a prominent issue.
Tatdanai Khomkhunsorn
doaj  

Ethical AI framework for future SHRM research

Discover Artificial Intelligence
Doctoral research in Strategic Human Resources Management (SHRM) has significant impact to organisational productivity and employee performance. Employees’ attitude towards work changes dynamically depending on multiple factors and hence suitable SHRM ...
Gowri R., Senthil Kumar S., Neeraj Kumar Dubey   +2 more
doaj   +1 more source