Search results for "Tekoäly"

Memory-saving optimization algorithms for systems with limited hardware

2011

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 …

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 …

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…

Palvelurobotiikka

2018

Generative adversarial networks with bio-inspired primary visual cortex for Industry 4.0

2022

Biologicalization (biological transformation) is an emerging trend in Industry 4.0 affecting digitization of manufacturing and related processes. It brings up the next generation of manufacturing technology and systems that extensively use biological and bio-inspired principles, materials, functions, structures and resources. This research is a contribution to the further convergence of computer and human vision for more robust and accurate automated object recognition and image generation. We present VOneGANs, a novel class of generative adversarial networks (GANs) with the qualitatively updated discriminative component. The new model incorporates a biologically constrained digital primary…

Reflections on the human role in AI policy formulations : how do national AI strategies view people?

2022

Abstract Purpose There is no artificial intelligence (AI) without people. People design and develop AI; they modify and use it and they have to reorganize the ways they have carried out tasks in their work and everyday life. National strategies are documents made to describe how different nations foster AI and as human dimensions are such an important aspect of AI, this study sought to investigate major national strategy documents to determine how they view the human role in emerging AI societies. Approach Our method for analyzing the strategies was conceptual analysis since the development of technology is embedded with conceptual ideas of humanity, explicit or implicit, and in addition to…

Informaatiotulvan hallitseminen tekoälyllä

2017

Tässä kandidaatintutkielmassa selvitetään kirjallisuuskatsauksena, miten infor- maatioähkyä voidaan hallita tekoälyn avulla. Tutkielmassa käydään yksityiskohtaisesti läpi mitä informaatioähky tarkoittaa, miten se ilmenee ja syntyy, sekä millaisia vaikutuksia sil- lä voi olla. Tutkimusongelmaa lähestytään valikoivan tarkkaavaisuuden näkökulmasta, sekä kartoitetaan, miten tekoäly pystyy mallintamaan ihmisille ominaista valikoivaa tarkkaavai- suutta. Keinotekoinen valikoiva tarkkaavaisuuden agentti on mahdollista luoda tietyn mallin mukaan, jolloin siitä on mahdollista saada menestyksellinen assistentti ihmiselle informaa- tion suodattamista varten. Vaarana toimivassa informaatiosuodatuksen te…

Hume’s Guillotine in Designing Ethically Intelligent Technologies

2020

Intelligent machines can follow ethical rules in their behaviour. However, it is less clear whether intelligent systems can also create new ethical principles. The former position can be called weak ethical AI and the latter strong ethical AI. Hume’s guillotine which claims that one cannot derive values from facts appears to be a fundamental obstacle to strong ethical AI. The analysis of human ethical information processes provides clarity to the possibility of strong ethical AI. Human ethical information processing begins with positive of negative emotions associated to situations. Situations can be seen as consequences of actions and for this reason people can define rules about acceptabi…