Hybrid Machine Learning Algorithms for Risk Assessment in Insurance Industry: Empirical Review
#machinelearning #algorithms are increasingly for #riskassessment in the #insuranceindustry, with hybrid methods often outperforming...
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10 mai 2023
Regulating AI at work: labour relations, automation, and algorithmic management
These papers examine the role of #collectivebargaining and #governmentpolicy in shaping strategies to deploy new #digital and #ai-based...
17 févr. 2023
A Study of Approach for Investors to Identify Risks and Opportunities Based On ML Algorithms
"... studies in various findings suggests a positive link between ESG and the financial performance of an organization." LIRE
4 oct. 2022
Malware Classification Using Feature Reduction Method and Autoscaling
"These attacks are unknown to the human eye due to malicious intent to harm any underlying infrastructure. So, to overcome the problems...
3 oct. 2022
Using Knowledge Distillation to improve interpretable models in a retail banking context
" Predictive machine learning algorithms used in banking environments, especially in risk and control functions, are generally subject to...
30 sept. 2022
AI Audit Washing and Accountability
"This paper first reports on proposed and enacted transatlantic AI or algorithmic audit provisions. It then draws on the technical,...
28 sept. 2022
Comparative Analysis Regulatory of AI and Algorithm in UK, EU and USA
"The European Artificial Intelligence Board (EAIB) would be established as a new enforcement authority at the Union level. National...
29 août 2022
Uncovering The Source of Machine Bias
"By comparing the decisions output by diverse settings, we find that ML algorithms can mitigate both the preference-based bias and the...
11 janv. 2022
Data Privacy, Human Rights, and Algorithmic Opacity
"... in a world where algorithmic opacity has become a strategic tool for firms to escape accountability, regulators in the EU, the US,...
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