Search results for "äly"

Propaganda Barometer : A Supportive Tool to Improve Media Literacy Towards Building a Critically Thinking Society

2018

To smartly consume a huge and constantly growing volume of information, to identify fake news and resist propaganda in the context of Information Warfare, to improve personal critical thinking capabilities and increase media literacy, people require supportive environment with sophisticated technology facilitated tools. With rapid development of media, widespread popularity of social networks and fast growing amount of information distribution channels, propaganda and information warfare enter an absolutely new digital technology supported cyber era. Propaganda mining is not a trivial and very time consuming process for human. And, as with any new technology, human need certain time to unde…

Comparison of feature importance measures as explanations for classification models

2021

AbstractExplainable artificial intelligence is an emerging research direction helping the user or developer of machine learning models understand why models behave the way they do. The most popular explanation technique is feature importance. However, there are several different approaches how feature importances are being measured, most notably global and local. In this study we compare different feature importance measures using both linear (logistic regression with L1 penalization) and non-linear (random forest) methods and local interpretable model-agnostic explanations on top of them. These methods are applied to two datasets from the medical domain, the openly available breast cancer …

Psychometric properties of the MOBITEC-GP mobile application for real-life mobility assessment in older adults

2022

Aim of this study was to test the reliability and validity of the life-space measures and walking speed delivered by the MOBITEC-GP app. Participants underwent several supervised walking speed assessments as well as a 1-week life-space assessment during two assessment sessions 9 days apart. Fifty-seven older adults (47.4% male, mean age= 75.3 (±5.9) years) were included in the study. The MOBITEC-GP app showed moderate to excellent test-retest reliability (ICCs between 0.584 and 0.920) and validity (ICCs between 0.468 and 0.950) of walking speed measurements of 50 meters and above and of most 1-week life-space parameters, including life-space area, time spent out-of-home, and action range. T…

AI ethics:an empirical study on the views of practitioners and lawmakers

2023

Artificial intelligence (AI) solutions and technologies are being increasingly adopted in smart systems contexts; however, such technologies are concerned with ethical uncertainties. Various guidelines, principles, and regulatory frameworks are designed to ensure that AI technologies adhere to ethical well-being. However, the implications of AI ethics principles and guidelines are still being debated. To further explore the significance of AI ethics principles and relevant challenges, we conducted a survey of 99 randomly selected representative AI practitioners and lawmakers (e.g., AI engineers and lawyers) from 20 countries across five continents. To the best of our knowledge, this is the …

Agents driven smart sensors

2017

Any physical area (like schools, home, hospitals etc.) that uses either mobile devices, sensors, embedded systems or computers to gather information from the users and the environment and eventually, adapt according to the new information gained. [1] Smart spaces compromises of heterogeneous hardware which often leads to the issues of interoperability. One way of reducing the heterogeneity between the sensors is to introduce the semantic interface as sensors default interface. Semantic Web provides a common interface and for-mat for data representation so that one can decrease the heterogeneity of data and increase data reusability. [2] With the Smart Spaces, it is important to use only the…

Self-management in distributed systems : smart adaptive framework for pervasive computing environments

2013

On personalized adaptation of learning environments

2017

This work is devoted to the development of personalized training systems. A major problem in learning environments is applying the same approach to all students: i.e., teaching materials, time for their mastering, and a training program that is designed in the same way for everyone. Although, each student is individual, has his own skills, ability to assimilate the material, his preferences and other. Recently, recommendation systems, of which the system of personalized learning is a part, have become widespread in the learning environments. On the one hand, this shift is due to mathematical approaches, such as machine learning and data mining, that are used in such systems while, on the ot…

Data obstacles and privacy concerns in artificial intelligence initiatives

2021

To become and remain competitive, many companies (especially large ones) are considering capitalising on data-based technologies, such as Artificial Intelligence (AI). However, whether these companies are structurally ready in terms of data collection and management remains unknown. This chapter discusses how privacy issues and reforms, such as the General Data and Protection Regulation (GDPR), affect companies’ AI initiatives and processes. For this purpose, we reviewed the relevant literature and collected empirical data using in-depth interviews with AI and data industry experts in five countries. Our main findings indicated that companies are lacking sound data collection and management…

Henkilöstöraportointimallin kehittäminen palveluorganisaatiolle : (case: Merita Oyj)

1999

One More, One More... You Get Stuck" : The Role of Craving in Smartphone-Related Technostress

2022

Smartphones have been integrated into nearly every aspect of human life. Because of them, being entertained, communicating with others, and finding information has never been easier. Even though such possibilities are positive on the surface, the versatile nature of smartphones has also created issues, such as people using them compulsively or excessively. By collecting and analyzing data from 30 semistructured interviews, we explored how users may experience craving unstoppable/uncontrollable desire to use, despite the negative consequences) that make them use smartphones compulsively or excessively. Such use may eventually lead to technostress, which is stress caused by technology use. We…