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 and make a flexible solution, we propose a framework where machine learning algorithms are applied to find relevant features from the existing dataset.” Lire

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 regulatory and technical constraints limiting their complexity. Knowledge distillation gives the opportunity to improve the performances of simple models without burdening their application, using the results of other – generally more complex and better-performing – models.” Lire

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, legal, and sociotechnical literature to address the who, what, why, and how of algorithmic audits, contributing to the literature advancing algorithmic governance.” Lire

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 supervisors will flank EAIB at the Member State level. Fines of up to ‘6% of global turnover, or 30 million euros for individual corporations’ can be imposed.” Lire

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 belief-based bias, while the effects vary for new and repeated applicants. Based on our findings, we propose a two-step human-AI collaboration framework for practitioners to reduce decision bias most effectively.” Lire

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, and elsewhere should adopt a human-rights-based approach to impose a social transparency duty on firms deploying high-risk AI techniques.” Lire