scholarly journals Special Issue on Artificial Intelligence, Machine Learning and Platform Innovation in Quantitative Finance (MathFinance Conference 2020/2021)

2021 ◽  
Author(s):  
Natalie Packham ◽  
Uwe Wystup
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Special Issue ◽  
Quantitative Finance

scholarly journals Governing artificial intelligence: ethical, legal and technical opportunities and challenges

2018 ◽  
Vol 376 (2133) ◽  
pp. 20180080 ◽  
Author(s):  
Corinne Cath
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Law Enforcement ◽  
Urban Infrastructure ◽  
Humanitarian Aid ◽  
Special Issue ◽  
Theme Issue ◽  
Ethical Frameworks ◽  
Recent Developments ◽  
Risk Areas

This paper is the introduction to the special issue entitled: ‘Governing artificial intelligence: ethical, legal and technical opportunities and challenges'. Artificial intelligence (AI) increasingly permeates every aspect of our society, from the critical, like urban infrastructure, law enforcement, banking, healthcare and humanitarian aid, to the mundane like dating. AI, including embodied AI in robotics and techniques like machine learning, can improve economic, social welfare and the exercise of human rights. Owing to the proliferation of AI in high-risk areas, the pressure is mounting to design and govern AI to be accountable, fair and transparent. How can this be achieved and through which frameworks? This is one of the central questions addressed in this special issue, in which eight authors present in-depth analyses of the ethical, legal-regulatory and technical challenges posed by developing governance regimes for AI systems. It also gives a brief overview of recent developments in AI governance, how much of the agenda for defining AI regulation, ethical frameworks and technical approaches is set, as well as providing some concrete suggestions to further the debate on AI governance. This article is part of the theme issue ‘Governing artificial intelligence: ethical, legal, and technical opportunities and challenges’.

scholarly journals Special Issue on Machine Learning, Data Science, and Artificial Intelligence in Plasma Research

2020 ◽  
Vol 48 (1) ◽  
pp. 1-2 ◽  
Author(s):  
Zhehui Wang ◽  
J. Luc Peterson ◽  
Cristina Rea ◽  
David Humphreys
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Data Science ◽  
Special Issue ◽  
Plasma Research ◽  
Learning Data

scholarly journals Digitization in the Market for Entrepreneurial Finance: Innovative Business Models and New Financing Channels

2021 ◽  
pp. 104225872110384
Author(s):  
Fabio Bertoni ◽  
Stefano Bonini ◽  
Vincenzo Capizzi ◽  
Massimo G. Colombo ◽  
Sophie Manigart
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Business Models ◽  
Information Production ◽  
Entrepreneurial Finance ◽  
Special Issue ◽  
General Overview ◽  
Financing Channels ◽  
The Way

Digitization creates new financial channels that complement traditional intermediaries, but may raise concerns over fraud, cybersecurity, or bubbles. Artificial intelligence and machine learning change the way in which traditional investors work. This special issue focuses on economic, cultural, and regulatory determinants of fintech development, and on the new forms of information production and processing engendered by digital entrepreneurial finance. We provide a general overview of digitization in the market for entrepreneurial finance, illustrate how the different articles in the special issue contribute to advance our knowledge, and identify promising avenues for research.

scholarly journals Special issue on advances and applications of artificial intelligence and machine learning for wireless communications

2020 ◽  
Vol 22 (3) ◽  
pp. 173-176
Author(s):  
H. Birkan Yilmaz ◽  
Chan-Byoung Chae ◽  
Yansha Deng ◽  
Tim O'Shea ◽  
Linglong Dai ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Wireless Communications ◽  
Special Issue

scholarly journals Special issue on artificial intelligence and machine learning for robotic manipulation

2019 ◽  
Vol 33 (22) ◽  
pp. 1155-1155
Author(s):  
Akihiko Yamaguchi ◽  
Takamitsu Matsubara ◽  
Nikolaus Vahrenkamp ◽  
Oliver Kroemer ◽  
Kensuke Harada
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Robotic Manipulation ◽  
Special Issue
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