03 Contributo in periodico (Part of a journal)

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La ridefinizione della colpa penale in ambito sanitario nelle proposte di riforma della AIPDP: Colpa penale sanitaria = inosservanza cautelare + deviazione rilevante dalla regola di diligenza + rischio irragionevole + esigibilità contestuale

THE REDEFINITION OF CRIMINAL MEDICAL NEGLIGENCE ACCORDING TO THE IAPCL DRAFT PROPOSALS: CRIMINAL NEGLIGENCE = VIOLATION OF THE DUTY OF CARE + SIGNIFICANT DEVIATION FROM THE STANDARD OF CARE + UNREASONABLE RISK + CONCRETE POSSIBILITY TO COMPLY WITH THE STANDARD OF CARE. This paper deals with two draft articles drawn up by the Subgroup of the Italian Association of Professors of Criminal Law (IAPCL/AIPDP) in charge of writing a proposal for a new liability regime for criminal negligence of heal...

Doing Good or Doing Better? Comparing Freelance and Employment Models for a Social Sustainable Food Delivery Sector

Delivery platforms in urban logistics connect providers with customers through distribution riders, who are usually distinguished by low incomes and limited social rights. This paper aims to compare and analyze the freelance and employment models for riders in different European countries in terms of social sustainability, i.e., work motivation and labor rights. To reach this goal, two activities were performed. On the one hand, qualitative interviews with German and Italian riders were carri...

An Investigation into Picking Norm Times and Well-Being: Fatigue-Aware Order Picking Planning

High turnover and shortage of order pickers are great concerns in the logistics industry. Manual order picking is physically demanding and impacts workers' well-being. Recently, employers have agreed to adjust picking norm times to improve pickers′ well-being. However, the literature lacks understanding about the impact of picking times on pickers' well-being. We propose a novel approach to order picker planning that considers physical fatigue of workers as a measure of concern for well-being...

Gradient Enhanced-Expert Informed Neural Network (GE-EINN) for Forming Depth Prediction from a Small-Scale Metal Stamping Dataset

Machine learning (ML) prediction tools are becoming an ever-growing topic of interest across various disciplines but are often perceived as probabilistic black boxes with good interpolation and lesser extrapolation performances. To this end, this contribution investigates the modeling and performance of a Gradient Enhanced-Expert Informed Neural Network (GE-EINN) consisting of a neural network where the backpropagation was upgraded by user-defined constraints in terms of partial differential ...

When Doctors and AI Interact: on Human Responsibility for Artificial Risks

A discussion concerning whether to conceive Artificial Intelligence (AI) systems as responsible moral entities, also known as “artificial moral agents” (AMAs), has been going on for some time. In this regard, we argue that the notion of “moral agency” is to be attributed only to humans based on their autonomy and sentience, which AI systems lack. We analyze human responsibility in the presence of AI systems in terms of meaningful control and due diligence and argue against fully automated sys...

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