Ethically Responsible Machine Learning in Fintech

How to avoid ethically relevant Machine Consciousness

– This paper discusses the root cause of systems perceiving the self experience and how to exploit adaptive and learning features without introducing ethically problematic system properties. s a practical engineer one has very rarely to deal with ethic or moral impacts of machine consciousness as designed products contain only very weak forms of it [1]. However, more and more times I was asked ...

Machine learning algorithms in air quality modeling

Modern studies in the field of environment science and engineering show that deterministic models struggle to capture the relationship between the concentration of atmospheric pollutants and their emission sources. The recent advances in statistical modeling based on machine learning approaches have emerged as solution to tackle these issues. It is a fact that, input variable type largely affec...

Innovation in Payments: The Future is Fintech

FinTech and cloud in banking

The use of technologies in financial services is not new. Financial institutions have, for a long time, been implementing technological solutions to support the provision of services to their customers and to ensure compliance with their regulatory obligations. They have also long relied on outsourcing arrangements with external service providers for the provision of technological solutions. Ho...

Emotion Detection in Persian Text; A Machine Learning Model

This study aimed to develop a computational model for recognition of emotion in Persian text as a supervised machine learning problem. We considered Pluthchik emotion model as supervised learning criteria and Support Vector Machine (SVM) as baseline classifier. We also used NRC lexicon and contextual features as training data and components of the model. One hundred selected texts including pol...