Pomegranates are nutrient-rich fruits renowned for their vibrant ruby-red seeds and antioxidant properties. With a rich history rooted in various cultures, pomegranates have gained widespread popularity distinct flavor potential health benefits. Timely detection understanding of the growth stages can facilitate optimized resource allocation, targeted interventions, efficient crop management. Additionally, early contributes to maximizing yield, ensuring product quality, mitigating risks such...

Ensuring fairness in artificial intelligence (AI) is important to counteract bias and discrimination far-reaching applications. Recent work has started investigate how humans judge support machine learning experts making their AI models fairer. Drawing inspiration from an Explainable approach called explanatory debugging used interactive learning, our explores designing interpretable human-in-the-loop interfaces that allow ordinary end-users without any technical or domain background...

With Artificial intelligence (AI) to aid or automate decision-making advancing rapidly, a particular concern is its fairness. In order create reliable, safe and trustworthy systems through human-centred artificial (HCAI) design, recent efforts have produced user interfaces (UIs) for AI experts investigate the fairness of models. this work, we provide design space exploration that supports not only data scientists but also domain Using loan applications as an example, held series workshops...

Wheat is one of the world's most widely cultivated cereal crops and a primary food source for significant portion population. goes through several distinct developmental phases, accurately identifying these stages essential precision farming. Determining wheat growth crucial increasing efficiency agricultural yield in Preliminary research identified obstacles distinguishing between stages, negatively impacting crop yields. To address this, this study introduces an innovative approach,...

By most measures, the adoption of modeling and simulation techniques in healthcare service development falls well short uptake such evident other sectors, as business commerce or aerospace military. The question is, why? To answer this, we consider three questions then turn to nature which might lead towards greater adoption. first is vexed how good enough? second concerns best should link through decision-making; third culture needed make (and whether it worth effort transformation). From...

This paper presents the work of AI4People-Automotive Committee established to advise more concretely on specific ethical issues that arise from autonomous vehicles (AVs). Practical recommendations for automotive sector are provided across topic areas: human agency and oversight, technical robustness safety, privacy data governance, transparency, diversity, non-discrimination fairness, societal environmental wellbeing, as well accountability. By doing so, this distinguishes between policy aim...

Introduction: Nursing is a very demanding career. In nursing work nurse’s not only have tons of things to get done. Nurses scores in time management were more than those men, with statistically significant difference: (p<0.05). There was positive relationship between individual skills and organizational The purpose this study determine the factors affecting professional nurses. Methodology: A descriptive cross sectional analytic conducted at government hospital Lahore. Data collected from...

Algorithmic bias mitigation has been one of the most difficult conundrums for data science community and Machine Learning (ML) experts. Over several years, there have appeared enormous efforts in field fairness ML. Despite progress toward identifying biases designing fair algorithms, translating them into industry remains a major challenge. In this paper, we present initial results an industrial open innovation project banking sector: propose general roadmap ML implementation toolkit called...

To improve and ensure trustworthiness ethics on Artificial Intelligence (AI) systems, several initiatives around the globe are producing principles recommendations, which providing to be difficult translate into technical solutions. A common trait among ethical AI requirements is accountability that aims at ensuring responsibility, auditability, reduction of negative impact systems. put practice, this paper presents Global-view Accountability Framework (GAF) considers auditability redress...

Ensuring fairness in artificial intelligence (AI) is important to counteract bias and discrimination far-reaching applications. Recent work has started investigate how humans judge support machine learning (ML) experts making their AI models fairer. Drawing inspiration from an Explainable (XAI) approach called \emph{explanatory debugging} used interactive learning, our explores designing interpretable human-in-the-loop interfaces that allow ordinary end-users without any technical or domain...

Child and adolescent mental health presents a major challenge to national services in developed countries due the lack of (self-)awareness, misconception from general public, data sensitivity discontinuity, suitable means for subtle real-time intervention. We report an on-going pilot study aiming offer ICT support young persons who are suffering severe issues. Our technology supports promotion, prevention, empowerment risk reduction illness through decision recommendation systems holistic approach.

With Artificial intelligence (AI) to aid or automate decision-making advancing rapidly, a particular concern is its fairness. In order create reliable, safe and trustworthy systems through human-centred artificial (HCAI) design, recent efforts have produced user interfaces (UIs) for AI experts investigate the fairness of models. this work, we provide design space exploration that supports not only data scientists but also domain Using loan applications as an example, held series workshops...