Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Agbese, Mamia"'
Autor:
de Cerqueira, José Antonio Siqueira, Agbese, Mamia, Rousi, Rebekah, Xi, Nannan, Hamari, Juho, Abrahamsson, Pekka
AI-based systems, including Large Language Models (LLMs), impact millions by supporting diverse tasks but face issues like misinformation, bias, and misuse. Ethical AI development is crucial as new technologies and concerns emerge, but objective, pra
Externí odkaz:
http://arxiv.org/abs/2411.08881
Society's increasing dependence on Artificial Intelligence (AI) and AI-enabled systems require a more practical approach from software engineering (SE) executives in middle and higher-level management to improve their involvement in implementing AI e
Externí odkaz:
http://arxiv.org/abs/2306.06749
Autor:
Agbese, Mamia, Alanen, Hanna-Kaisa, Antikainen, Jani, Halme, Erika, Isomäki, Hannakaisa, Jantunen, Marianna, Kemell, Kai-Kristian, Rousi, Rebekah, Vainio-Pekka, Heidi, Vakkuri, Ville
Publikováno v:
2021, pp 224-229
Advances in machine learning (ML) technologies have greatly improved Artificial Intelligence (AI) systems. As a result, AI systems have become ubiquitous, with their application prevalent in virtually all sectors. However, AI systems have prompted et
Externí odkaz:
http://arxiv.org/abs/2111.06207
Autor:
Halme, Erika, Agbese, Mamia, Alanen, Hanna-Kaisa, Antikainen, Jani, Jantunen, Marianna, Khan, Arif Ali, Kemell, Kai-Kristian, Vakkuri, Ville, Abrahamsson, Pekka
Digitalization and Smart systems are part of our everyday lives today. So far the development has been rapid and all the implications that comes after the deployment has not been able to foresee or even assess during the development, especially when
Externí odkaz:
http://arxiv.org/abs/2111.06116
Autor:
Antikainen, Jani, Agbese, Mamia, Alanen, Hanna-Kaisa, Halme, Erika, Isomäki, Hannakaisa, Jantunen, Marianna, Kemell, Kai-Kristian, Rousi, Rebekah, Vainio-Pekka, Heidi, Vakkuri, Ville
Publikováno v:
in 2021 IEEE 29th International Requirements Engineering Conference Workshops (REW), Notre Dame, IN, USA, 2021 pp. 230-235
There is a struggle in Artificial intelligence (AI) ethics to gain ground in actionable methods and models to be utilized by practitioners while developing and implementing ethically sound AI systems. AI ethics is a vague concept without a consensus
Externí odkaz:
http://arxiv.org/abs/2110.05933
Akademický článek
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Autor:
Halme Erika, Agbese Mamia, Antikainen Jani, Alanen Hanna-Kaisa, Marianna Jantunen, Khan Arif Ali, Kemell Kai-Kristian, Vakkuri Ville, Abraham
Publikováno v:
University of Jyväskylä
Publisher Copyright: © 2022 Copyright for this paper by its authors In Port terminals a progressive change is underway in digitalizing traditional systems to SMART systems with the aid of AI. This study follows one of such progressions, the SMARTER
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c7b8eb5fb04bf3e1a2a91c159b06fd3e
http://hdl.handle.net/10138/355811
http://hdl.handle.net/10138/355811
Autor:
Agbese, Mamia, Alanen, Hanna-Kaisa, Antikainen, Jani, Halme, Erika, Isomäki, Hannakaisa, Jantunen, Marianna, Kemell, Kai-Kristian, Rousi, Rebekah, Vainio-Pekka, Heidi, Vakkuri, Ville
Publikováno v:
e-Informatica; 2023, Vol. 17 Issue 1, p1-26, 26p
This open access book constitutes the refereed proceedings of the 23rd International Conference on Software Business, ICSOB 2023, which was held in Lahti, Finland, during November 27–29, 2023. The special theme of ICSOB 2023 was Digital Agility: Ma