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" 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."
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"Our findings show that demand is overall higher to insure separate risks than to cover all risks together in a bundled insurance policy in the UK, whereas no significant difference is found between demand for bundled insurance and single policy insurance in the Netherlands. This difference in preference across the two countries is partly associated with whether individuals have been flooded in the past, which is more often the case in the UK than the Netherlands."
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"... we contribute both empirically and conceptually to a better understanding of the nexus of AI and regulation and the underlying normative decisions. A comparison of the scientific proposals with the proposed European AI regulation illustrates the specific approach of the regulation, its strengths and weaknesses."
"... there is a risk that the EU’s Network and Information Systems Directive (‘NIS Directive’) might lead to only incremental improvements in the cybersecurity of Europe’s critical infrastructure and digital services, while generating substantial compliance activity, aimed at placating regulators and reassuring the general public."
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"... a growing domestic emphasis from the central government on promoting innovation through weakening checks will undermine the efficacy and ethical permissibility of initiatives. Likewise, the success of AI governance initiatives will be heavily influenced by decisions made in other jurisdictions, including the European Union. If left unaddressed, these factors risk transforming the UK into a reluctant follower, rather than a global leader, in AI governance."