Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Vainio, Pekka"'
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:
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
Autor:
Mamia Agbese, Hanna-Kaisa Alanen, Jani Antikainen, Halme Erika, Hannakaisa Isomaki, Marianna Jantunen, Kai-Kristian Kemell, Rebekah Rousi, Heidi Vainio-Pekka, Ville Vakkuri
Publikováno v:
e-Informatica Software Engineering Journal, Vol 17, Iss 1 (2023)
Background: The continuous development of artificial intelligence (AI) and increasing rate of adoption by software startups calls for governance measures to be implemented at the design and development stages to help mitigate AI governance concerns.
Externí odkaz:
https://doaj.org/article/6f0332c9e0174a59a687a03878bee6d8
Akademický článek
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Autor:
Kautonen, Teemu, Down, Simon, Welter, Friederike, Vainio, Pekka, Palmroos, Jenni, Althoff, Kai, Kolb, Susanne
Publikováno v:
International Journal of Entrepreneurial Behaviour & Research, 2010, Vol. 16, Issue 2, pp. 112-129.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/13552551011027002
Autor:
Ville Vakkuri, Mamia Agbese, Heidi Vainio-Pekka, Hannakaisa Isomäki, Erika Halme, Hanna-Kaisa Alanen, Marianna Jantunen, Jani Antikainen, Rebekah Rousi, Kai-Kristian Kemell
Publikováno v:
2021 IEEE 29th International Requirements Engineering Conference Workshops (REW).
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1cafc63574c6b17072f70a66ef65eef
https://doi.org/10.1109/rew53955.2021.00042
https://doi.org/10.1109/rew53955.2021.00042
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
Publikováno v:
International Journal of Public Policy; January 2009, Vol. 4 Issue: 6 p533-548, 16p