Product safety professionals must assess the risks to consumers associated with the foreseeable uses and misuses of products. In this study, we investigate the utility of generative artificial intelligence (AI), specifically large language models (LLMs) such as ChatGPT, across a number of tasks involved in the product risk assessment process. For a set of six consumer products, prompts were developed related to failure mode identification, the construction and population of a failure mode and effects analysis (FMEA) table, risk mitigation identification, and guidance to product designers, users, and regulators. These prompts were input into ChatGPT and the outputs were recorded. A survey was administered to product safety professionals to ascertain the quality of the outputs. We found that ChatGPT generally performed better at divergent thinking tasks such as brainstorming potential failure modes and risk mitigations. However, there were errors and inconsistencies in some of the results, and the guidance provided was perceived as overly generic, occasionally outlandish, and not reflective of the depth of knowledge held by a subject matter expert. When tested against a sample of other LLMs, similar patterns in strengths and weaknesses were demonstrated. Despite these challenges, a role for LLMs may still exist in product risk assessment to assist in ideation, while experts may shift their focus to critical review of AI-generated content.

BACKGROUND: Open-system electronic cigarette (EC) product features, such as battery capacity, maximum output wattage, and so forth, are major components that drive product costs and may influence use patterns. Moreover, continued innovation and monitoring of product features and prices will provide critical information for designing appropriate taxation policies and product regulations.
OBJECTIVE: This study will examine how product features are associated with the prices of devices sold in web-based vape shops.
METHODS: We draw samples from 5 popular, US-based, web-based vape shops from April to August 2022 to examine starter kits, device-only products, and e-liquid container-only products. We implemented a linear regression model with a store-fixed effect to examine the association between device attributes and prices.
RESULTS: EC starter kits or devices vary significantly by type, with mod prices being much higher than pod and vape pen prices. The prices of mod starter kits were even lower than those of mod devices, suggesting that mod starter kits are discounted in web-based vape shops. The price of mod kits, mod device-only products, and pod kits increased as the battery capacity and output wattage increased. For vape pens, the price was positively associated with the volume size of the e-liquid container. On the other hand, the price of pod kits was positively associated with the number of containers.
CONCLUSIONS: A unit-based specific tax, therefore, will impose a higher tax burden on lower-priced devices such as vape pens or pod systems and a lower tax burden on mod devices. A volume- or capacity-based specific tax on devices will impose a higher tax burden on vape pens with a larger container size. Meanwhile, ad valorem taxes pegged to wholesale or retail prices would apply evenly across device types, meaning those with advanced features such as higher battery capacities and output wattage would face higher rates. Therefore, policy makers could manipulate tax rates by device type to discourage the use of certain device products.

This case study describes, for the time frame of June 2021 through August 2022, the U.S. Veterans Health Administration (VHA) organizational response to a manufacturer\'s recall of positive airway pressure devices used in the treatment of sleep disordered breathing. VHA estimated it could take over a year for Veterans to receive replacement devices. Veterans awaiting a replacement faced a dilemma. They could continue using the recalled devices and bear the product safety risks that led to the recall, or they could stop using them and bear the risks of untreated sleep disordered breathing. Using a program monitoring approach, we report on the processes VHA put in place to respond to the recall. Specifically, we report on the strategic, service, and operational plans associated with VHA\'s response to the recall for Veterans needing replacement devices. In program monitoring, the strategic plan reflects the internal process objectives for the program. The service plan articulates how the delivery of services will intersect the customer journey. The operational plan describes how the program\'s resources and actions must support the service delivery plan. VHA\'s strategic plan featured a clinician-led, as opposed to primarily legal or administrative response to the recall. The recall response team also engaged with VHA\'s medical ethics service to articulate an ethical framework guiding the allocation of replacement devices under conditions of scarcity. This framework proposed allocating scarce devices to Veterans according to their clinical need. The service plan invited Veterans to schedule visits with sleep providers who could assess their clinical need and counsel them accordingly. The operational plan distributed devices according to clinical need as they became available. Monitoring our program processes in real time helped VHA launch and adapt its response to a recall affecting more than 700,000 Veterans.

UNASSIGNED: We describe a rare food contamination of organically grown frozen green beans with Solanum nigrum, also called black night shade, which were widely available in supermarkets in the Netherlands.
UNASSIGNED: To our knowledge, only three adults and one child were referred to the emergency department for observation after eating the contaminated green beans. Only minor symptoms were seen during observation. The remainder of the frozen green beans were obtained from the patients and sent for analysis within one day. Within two and a half days after the first case, a public safety warning and recall were launched.
UNASSIGNED: Due to an increase in popularity of organic food, more incidents involving toxic weed contaminants like the one we describe in this report could happen when quality control in organic agriculture is insufficient. In this event, the critical control point obtained from the hazard analysis was insufficiently managed by the producer.
UNASSIGNED: This report demonstrates the efficient collaboration between the Dutch Poisons Information Centre, treating physicians at the hospital and the Netherlands Food and Consumer Product Safety Authority in case of a possible public safety issue. Because of quick acting and collaboration between the involved parties, the product was quickly withdrawn from the market.

Insect manure or \"frass\" has emerged as an alternative nutrient source for alleviating the dependence on fossil fuel-based fertilizers, reducing food waste, and promoting food security. Yet, research on insect frass chemical composition is in its infancy. Here, we assessed the chemical properties of yellow mealworm (Tenebrio molitor L.) frass compared with poultry litter (PL). Insect frass was obtained from the National Biological Control Laboratory (NBCL; IF-L) and an insect-rearing company (IF-C). PL was collected from facilities in Arkansas (PL-AR) and North Carolina (PL-NC). Samples were analyzed for pH, electrical conductivity, macro- and micronutrients, heavy metals, pathogens, and indicator microorganisms. On average, insect frass had 43% and 47% higher C and N than PL, respectively (P < 0.05). Considering a 5 mg/ha application rate, IF-C can supply 159 kg N/ha, twice the N supply of PL-AR (78 kg/ha). IF-L had a 53% higher P supply than PL-NC. Mean K, Ca, S, and micronutrient contents were higher in PL than in frass (P < 0.05), whereas As, Cd, Cr, and Pb were nearly absent in frass. Chemical composition and pathogens in fertilizer sources were largely affected by insect-rearing substrate and supplements used in poultry and insect production. Insect frass utilized in this study had optimum C and N rates relative to PL, suggesting a promising soil amendment for improving soil health and C sequestration, thus contributing to sustainable agricultural intensification and reuse of food waste in circular economies.

Rolling is a critical step of infant development, encouraging muscle coordination and enabling independent exploration. Understanding muscle activity during infant rolling movements on a flat surface is necessary to more fully characterize how the rolling milestone is achieved. The purpose of this study was to determine infants\' muscle activation throughout roll initiation for six previously established coordinated movements. Thirty-eight healthy infants (age: 6.5 ± 0.7 months; 23M/15F) were enrolled in this IRB-approved in-vivo biomechanics study. Surface electromyography sensors recorded muscle utilization from the erector spinae, abdominal muscles, quadriceps, and hamstrings while infants rolled. Each rolling movement was categorized as one of six roll types, and the mean muscle activity was analyzed. All roll types required initial activation of all measured muscle groups. Movements featuring axial rotation of the torso relative to the pelvis required highly active erector spinae muscles. Movements featuring trunk and hip flexion required highly active abdominal muscles. Infants used distinct coordinated muscle activations to achieve the six different roll types on a flat surface. A foundational understanding of the different muscle activation patterns required during infant rolling will provide crucial insight into motor development. This study quantified muscle coordination required of infants to achieve rolling on a firm flat surface. Previous research indicates that the mechanical environment in which an infant is placed impacts muscle activity and body position during normal lying. Therefore, future work should explore if mechanical environments that differ from a flat and firm surface also influence these coordinated movements and muscle activations.

The ability of some artificial intelligence (AI) systems to autonomously evolve and the sometimes very limited possibilities to comprehend their decision-making processes present new challenges to our legal system. At a European level this has led to reform efforts, of which the proposal for a European AI regulation promises to close regulatory gaps in existing product safety law through cross-sectoral AI-specific safety requirements. A prerequisite, however, would be that the EU legislator does not only avoid duplications and contradictions with existing safety requirements but also refrains from imposing exaggerated and unattainable demands. If this were to be taken into consideration, the new safety requirements could also be used to specify the undefined standard of care in liability law. Nevertheless, challenges in the context of provability continue to remain unresolved, posing a risk of rendering the legal protection efforts of the aggrieved party ineffective. It remains to be seen whether the EU legislator will address this need for reform with the recently proposed reform of product liability law by the Commission.
UNASSIGNED: Die Fähigkeit mancher Systeme der künstlichen Intelligenz (KI), sich weiterzuentwickeln, sowie die teilweise sehr eingeschränkten Möglichkeiten, deren Entscheidungsprozesse nachzuvollziehen, stellen unser Rechtssystem vor neue Herausforderungen. Auf europäischer Ebene hat dies zu Reformbestrebungen geführt, von denen der Vorschlag für eine europäische KI-Verordnung verspricht, die Regulierungslücken des geltenden Produktsicherheitsrechts durch sektorenübergreifende KI-spezifische Sicherheitsanforderungen zu schließen. Voraussetzung wäre jedoch, dass der Unionsgesetzgeber nicht nur Doppelungen und Widersprüche mit den bestehenden Sicherheitsanforderungen vermeidet, sondern auch von überspitzten Anforderungen absieht. Sofern dies beachtet werden würde, könnten die neuen Sicherheitsanforderungen auch zur Konkretisierung des unbestimmten Sorgfaltsmaßstabs im Haftungsrechtsrecht herangezogen werden. Offen blieben weiterhin Schwierigkeiten im Kontext der Beweisbarkeit, durch die die Rechtsschutzbemühungen des Geschädigten ins Leere zu führen drohen. Abzuwarten bleibt, ob der Unionsgesetzgeber diesem Reformbedürfnis mit der jüngst von der Kommission vorgeschlagenen Reform des Produkthaftungsrechts nachkommen wird.

OBJECTIVE: To elicit and summarise collective expert opinion on contemporary child product safety risks, challenges and priorities.
METHODS: An online survey targeted international experts from a cross-section of product safety fields.
RESULTS: Fifty-five experts participated, representing 1,137 years of product safety experience, from a broad range of fields including industry risk management, product assessment and testing, policy and regulation, research, paediatric medicine, advocacy and product liability. Participants identified the leading product safety hazards across all age brackets as falls, drowning and chemical hazards, with variance in specific age brackets, particularly the threat to breathing hazards for infants. The leading products of concern to experts were electrical connection/distribution products, primarily button batteries and lithium-ion batteries, infant furnishing products and household furniture. Product safety priorities and challenges were identified under five themes: regulatory, surveillance, industry, consumer and product-specific.
CONCLUSIONS: The gains in knowledge, insight and understanding from experts on contemporary child product safety risks and issues should inform policy and future research.
CONCLUSIONS: There are significant consequences of unsafe consumer products on population health, and the results are timely as we face new product safety issues emerging from e-commerce, the digital transition and innovative product technologies.

In this study, we develop a model that assesses product risk using online reviews from Amazon.com. We first identify unique words and phrases capable of identifying hazards. Second, we estimate risk severity using hazard type weights and risk likelihood using total reviews as a proxy for sales volume. In addition, we obtain expert assessments of product hazard risk (risk likelihood and severity) from a sample of high- and low-risk consumer products identified by a computerized risk assessment model we have developed. Third, we assess the validity of our computerized product risk assessment scoring model by utilizing the experts\' survey responses. We find that our model is especially consistent with expert judgments of hazard likelihood but not as consistent with expert judgments of hazard severity. This model helps organizations to determine the risk severity, risk likelihood, and overall risk level of a specific product. The model produced by this study is helpful for product safety practitioners in product risk identification, characterization, and mitigation.

The decisions we make on chemical safety, for consumers, workers and the environment, must be based on the best scientific data and knowledge available. Rapid advances in biology, in cell-based technologies and assays, and in analytical and computational approaches, have led to new types of highly relevant scientific data being generated. Such data enable us to improve the safety decisions we make, whilst also enabling us to avoid animal testing. Stimulated by the UK and EU bans on animal testing for cosmetics, Next Generation Risk Assessment (NGRA) approaches, which integrate various types of non-animal scientific data, have been established for assessing the safety of chemical ingredients used in cosmetics and other consumer products. In stark contrast, the chemicals regulations in Europe and other parts of the world have not kept pace with modern safety science and regulators are now mandating even more animal testing. Urgently closing this science-regulation gap is essential to upholding the EU\'s legislative requirement that any animal testing is a last resort. The ongoing revisions of UK and EU chemicals strategy and regulations provide an opportunity to fundamentally change the design and assessment paradigm needed to underpin safe and more sustainable innovation, through applying the best science and tools available rather than continuing to be anchored in animal tests dating back many decades. A range of initiatives have recently been launched in response to this urgent need, in the UK as well as in the EU.