A systematic investigation of the integration of machine learning into supply chain risk management
M Schroeder, S Lodemann - Logistics, 2021 - mdpi.com
The main objective of the paper is to analyze and synthesize existing scientific literature
related to supply chain areas where machine learning (ML) has already been implemented …
related to supply chain areas where machine learning (ML) has already been implemented …
[HTML][HTML] Machine learning for sperm selection
Infertility rates and the number of couples seeking fertility care have increased worldwide
over the past few decades. Over 2.5 million cycles of assisted reproductive technologies are …
over the past few decades. Over 2.5 million cycles of assisted reproductive technologies are …
Transparency you can trust: Transparency requirements for artificial intelligence between legal norms and contextual concerns
H Felzmann, EF Villaronga, C Lutz… - Big Data & …, 2019 - journals.sagepub.com
Transparency is now a fundamental principle for data processing under the General Data
Protection Regulation. We explore what this requirement entails for artificial intelligence and …
Protection Regulation. We explore what this requirement entails for artificial intelligence and …
Towards intelligent regulation of artificial intelligence
MC Buiten - European Journal of Risk Regulation, 2019 - cambridge.org
Artificial intelligence (AI) is becoming a part of our daily lives at a fast pace, offering myriad
benefits for society. At the same time, there is concern about the unpredictability and …
benefits for society. At the same time, there is concern about the unpredictability and …
Fit for purpose? The GDPR and the governance of European digital health
The introduction of the General Data Protection Regulation (GDPR) in 2018 served as the
cornerstone of the new data governance regime of the European Union. Informed by …
cornerstone of the new data governance regime of the European Union. Informed by …
The right not to be subject to automated decisions based on profiling
I Mendoza, LA Bygrave - EU internet law: Regulation and enforcement, 2017 - Springer
In this chapter, a critical analysis is undertaken of the provisions of Art. 22 of the European
Union's General Data Protection Regulation of 2016, with lines of comparison drawn to the …
Union's General Data Protection Regulation of 2016, with lines of comparison drawn to the …
[HTML][HTML] Artificial intelligence for anti-money laundering: a review and extension
J Han, Y Huang, S Liu, K Towey - Digital Finance, 2020 - Springer
This paper surveys the existing academic literature on artificial intelligence (AI) technologies
for anti-money laundering (AML). We review the state-of-the-art AI methods for AML and …
for anti-money laundering (AML). We review the state-of-the-art AI methods for AML and …
Big data governance of personal health information and challenges to contextual integrity
JS Winter, E Davidson - The Information Society, 2019 - Taylor & Francis
Pervasive digitization and aggregation of personal health information (PHI), along with
artificial intelligence (AI) and other advanced analytical techniques, hold promise of …
artificial intelligence (AI) and other advanced analytical techniques, hold promise of …
Ethically responsible machine learning in fintech
Rapid technological developments in the last decade have contributed to using machine
learning (ML) in various economic sectors. Financial institutions have embraced technology …
learning (ML) in various economic sectors. Financial institutions have embraced technology …
Governance of artificial intelligence and personal health information
JS Winter, E Davidson - Digital policy, regulation and governance, 2019 - emerald.com
Purpose This paper aims to assess the increasing challenges to governing the personal
health information (PHI) essential for advancing artificial intelligence (AI) machine learning …
health information (PHI) essential for advancing artificial intelligence (AI) machine learning …