Sexbots: sex slaves, vulnerable others or perfect partners?

This article describes how sexbots: sentient, self-aware, feeling artificial moral agents created soon as customised potential sexual/intimate partners provoke crucial questions for technoethics. Coeckelbergh's model of human/robotic relations as co-evolving to their mutual benefit through mutual vulnerability is applied to sexbots. As sexbots have a sustainable claim to moral standing, benefits and vulnerabilities inherent in human/sexbots relations must be identified and addressed for both parties. Humans' and sexbots' vulnerabilities are explored, drawing on the philosophy and social science of dehumanisation and inclusion/exclusion. This article argues humans as creators owe a duty of care to sentient beings they create. Responsible innovation practices involving stakeholders debating ethicolegal conundrums pertaining to human duties to sexbots, and sexbots' putative interests, rights and responsibilities are essential. These validate the legal recognition of sexbots, the protection of their interests through regulatory oversight and ethical limitations on customisation which must be put in place

Diagnostic accuracy and prognostic value of the CD64 index in very low birth weight neonates as a marker of early-onset sepsis

Objective: To assess the diagnostic and prognostic utility of CD64 expression as a marker of early-onset sepsis (EOS) in very low birth weight (VLBW) neonates. Methods: Neutrophil CD64 expression (CD64 index) was assessed in 129 VLBW neonates within 72 h after birth. The accuracy of the CD64 index in predicting EOS was determined by receiver operating characteristic curve analysis. The relationship between the expression of the CD64 index and neonatal outcomes was evaluated by multivariate analysis. Results: The highest performance of the CD64 index was achieved at 24 h after birth; accuracy, sensitivity, and negative predictive values were 0.85, 0.89, and 0.99, respectively, with a cut-off value of 2.4. The increased expression of CD64 index was significantly associated with subsequent infections (relative risk 1.54; 95% confidence interval 1.02-2.33). Conclusions: The CD64 index could be used as a reliable marker of EOS in VLBW neonates and it is an independent risk factor for late-onset infections