Tidligere kriminalitet og psykisk helsehjelp hos personer med soningserfaring som blir dømt til tvungent psykisk helsevern.

Background: In the period 2002-2020, a total of 431 people were sentenced to coercive mental health care. Many of these had served time in prison, either previously or in connection with the criminal acts that led to the current sentences. This study examines the background, criminal history and mental health status of individuals before they committed the offences that led to their imprisonment. Material and method: Data from the Norwegian Correctional Service's Register of Imprisonments, the Register of Convictions, the Norwegian Patient Registry and Statistics Norway were used to study former prisoners who were sentenced to coercive mental health care in the period 2002-2020, who had served prison terms. Results: Among 286 former prisoners who were sentenced to coercive mental health care, 246 (86.0 %) had previous convictions, and 140 (49.0 %) had previously had criminal charges dropped due to doubt as to criminal culpability. Previous psychiatric illness in the last two years was studied in 186 individuals. Of these, 151 (81.2 %) had undergone treatment in the mental health service, with psychotic disorders (106/186 (57.0 %)) and substance use disorders (109/186 (58.6 %)) being the most common diagnoses. Interpretation: Former prisoners who are sentenced to coercive mental health care tend to have an extensive criminal and mental health care history prior to committing criminal acts that lead to coercive mental health care.

The role of operative protocols for the prevention of occupational infectious risk on the crime scene.

Background: Crime scenes are possible scenario of accidents for operators, despite those risks the are no operative protocols in literature. However, COVID-19 pandemic has affected in a positive manner the management of infectious risk, encouraging use of Personal protective equipment (PPE). The aim of the study is to deepen and examine the occupational risk of all health professionals involved in the analysis of the crime scene and biological material collection to develop an operational protocol that explains in detail all the strategies applicable to reduce it. Materials and Methods: We conducted a review of the literature researching among the main databases, such as: PUBMED, EMBASE, COCHRANE introducing as keywords: crime scene, medico-legal investigations, occupational risk, infections. Subsequently, we developed an operational protocol that is currently applied during the activity of the Institute of Forensic Medicine "Magna Graecia" of Catanzaro. Conclusion: The crime scene can show numerous dangers for operators, due to the presence of syringes, contaminated biological material or sharps or access to areas with poor hygienic and sanitary conditions. This paper shows various strategies that may be implemented to reduce the risk. The aim of this work is to focus on the occupational risk for operators by proposing an operative protocol showing in detail how to manage a crime scene by reducing the infectious risk for operators until the transfer of the body and the collected evidence to the morgue and to the laboratory.

The invisible evidence: Digital forensics as key to solving crimes in the digital age.

Digital transformation rapidly changes how we live our lives in the post pandemic world. Unfortunately, digital technology is not limited to law abiding organisations and citizens. Criminal organisations and individuals are quick to identify new opportunities with new technologies, and digital transformation is dramatically changing the character of crimes, terror, and other threats. The fast emergence of new crimes is facilitated by possibilities brought by disruptive technologies such as AI, Internet of Things, drones, and cryptocurrencies that can be disastrous tools in the hands of criminals. Consequently, our society needs far better capacity to prevent and investigate criminal acts to protect organisations and citizens. This brings an urgent need to proactively reform digital forensics to significantly increase our capability to meet the strain on society brought by crimes evolving in the digital transformation era. The future of forensic science is already here, characterized by a mix of opportunities and challenges. It is essential to make it harder to effectively use digital technologies for criminal activities, while leveraging the possibilities of digital technologies by those affected, law enforcement agencies, business and organisations. As digital technologies continue to evolve, we need to stay up to date with the latest developments to effectively investigate and prosecute crimes in the digital age. There is an increased reliance on digital evidence, and the amount of heterogeneous digital evidence in criminal cases keep increasing. The forensic science techniques thus become more sophisticated and play an increasingly important role. However, the scientific area is extremely broad, and beyond the capability of most forensic science labs to keep up with the technology forefront development speed. Besides an urgent need to bring up the subject to the political arena, examples of how we can meet the challenges are discussed such as by extending our cooperation, encourage and facilitate cooperation for training and education to handle the extremely broad and rapid development, working out methods for explaining and visualising evidence for the treatment and legal values of digital evidence in prosecution, and cooperation between product developers and crime investigators for swift innovation of digital forensics tools and methodologies for quickly emerging threats. This paper will highlight specific examples where modern digital techniques are used to solve crimes in the physical world as well as crimes committed in the digital domain and discuss how "good AI" can be used to fight "evil AI" and finally touch on the sensitive balance between the increased power of the new digital forensic tools and private integrity.

Does Escalating Violence and Associated Fear of Crime Worsen Psychological Well-Being in Community Dwellers Living in a Rural Setting? Results From the Atahualpa Project Cohort.

BACKGROUND: Escalating street violence and criminal homicides have an adverse impact on psychological well-being. However, these consequences have been difficult to evaluate. Using a recently validated scale, we aimed to assess the impact of fear of crime on the psychological status of middle-aged and older adults living in a rural setting afflicted by endemic violence. METHODS: Participants were selected from Atahualpa residents included in previous studies targeting psychological distress in the population. A validated scale was used to objectively quantify fear of crime in participants. Differences in symptoms of depression and anxiety between baseline and follow-up were used as distinct dependent variables and the continuous score of the fear of crime scale was used as the independent variable. Linear regression models were fitted to assess the association between the exposure and the outcomes, after adjusting for relevant confounders. RESULTS: A total of 653 participants (mean age = 53.2 ± 11.5 years; 57% women) completed the requested tests. We found a 13% increase in symptoms of depression and anxiety during the peak of violence in the village compared with previous years. Linear regression models showed a significant association between the total score on the fear of crime questionnaire and worsening symptoms of depression (ß = .24; 95% CI = 0.14-0.35) and anxiety (ß = .31; 95% CI = 0.24-0.37), after adjustment for relevant confounders. CONCLUSIONS: This study shows a significant aggravating effect of fear of crime on pre-existing symptoms of depression and anxiety and a deleterious effect of these conditions on overall well-being.

Dark and bright personality dimensions as predictors of criminal behavior and recidivism.

A growing body of research highlights the continuum between dark and bright personality traits impacting individual prosocial or antisocial tendencies. However, the interplay between personality dimensions and actual criminal behavior and its reoccurrence is not fully elucidated. We aimed to explore the cumulative predictive value of the bright and dark core of personality for criminal history in differentiating a general community sample (N = 282) from a large sample of inmates (N = 296), with (n = 129) or without (n = 167) criminal history while controlling for age, sex and impression management. Predictors of first-time offending were higher levels of Neuroticism, Openness, Dark Factor, Sadism, and Deceitfulness. Criminal recidivism was predicted by high Neuroticism and Deceitfulness. Finally, higher levels of Extraversion were negatively related to criminal behavior and history, highlighting a potential protective effect of displaying assertive and sociable tendencies. The findings highlight the relevance of considering the dark personality core complementary to the typical personality dimensions in the risk assessment, prediction, and reduction of criminal behavior.

How Better Health Strategies Could Reduce Juvenile Crime.

This JAMA Forum discusses health strategies that could be used to reduce juvenile crime, including identifying and treating trauma with behavioral health, rethinking the punishment approach, and incorporating other methods to overcome current challenges.

Punishing "Privilege": Antisemitic Hate Crime in Canada.

Both federal government and civil society organization data point to consistently rising incidents of antisemitic narratives and acts across Canada. In spite of this, antisemitic hate crime has not been the focus of any academic research here, some would argue because Jews are not typically thought to be an at-risk community. Rather, the Jewish community is thought to occupy a relatively privileged place in society which shields them from bias motivated attacks. Countering this narrative, our study, based in Ontario and Quebec, reveals that Jewish individuals and institutions are highly vulnerable to discursive, physical, and property violations. Many of those we spoke with felt embattled by the narrative attacks that rendered the community vulnerable to corollary physical attacks. Of particular significance are the enabling images of Jews that equate "Jewish privilege" with excessive power and control. We explore these themes, concluding with calls for strategies intended to counter hateful narratives.

Lost in Translation? Applying the Hate Crime Concept to an Indian Context.

Hate crime is increasingly a familiar term within the domains of scholarship, policy, and activism as the harms associated with acts of targeted hostility continue to pose complex, global challenges. However, an exclusively Western-centric focus has done little to foster transnational conversations or to shape conceptual or legal frameworks in parts of the world where the challenges posed by hate and prejudice remain underexplored despite their devastating consequences. This article considers how the complexities and specificities of the Indian context disrupt the dominant assumptions of conventional hate crime frameworks. In doing so, it highlights the value of extending conventional Westernized models of thinking to different environments with different sets of challenges. Through its analysis of caste crimes and the factors that reinforce a prevailing institutional and cultural backdrop of political indifference, bureaucratic resistance, and public skepticism, the article illustrates why and how key elements of the Western framework remain ill-suited to the Indian context. The authors call instead for a creative translation of the hate crime concept, which accommodates the nature of violence within specific social contexts, and which emphasizes the institutional features that can mitigate the limitations of state capacity and intent. The process of translation has value in harnessing the benefits of the hate crime concept within countries, which lack a common framework to foster shared understanding and prioritization in relation to tackling contemporary expressions of hate. At the same time, this process enriches prevailing thinking, dismantles stereotypes, and challenges scholars of targeted violence to familiarize themselves with the unfamiliar.

Understanding the relationship between intergenerational mobility and community violence.

Violence is a key mechanism in the reproduction of community disadvantage. The existing evidence indicates that violence in a community impacts the intergenerational mobility of its residents. The current study explores the possibility of a reverse relationship. This study provisionally tests the hypothesis that depressed intergenerational mobility in a community may also spark subsequent community violence. We deploy a county measure of intergenerational mobility captured during early adulthood for a cohort of youth born between 1980 and 1986 and raised in low-income families [R. Chetty, N. Hendren, Quart. J. Econom. 133, 1163-1228 (2018)]. We model the relationship between county mobility scores and two county-level outcomes: violent crime and homicide. We find that a county's level of intergenerational mobility as measured by the Chetty-Hendren data is a major predictor of its rate of violent crime and homicide in 2008, when the youth in Chetty's mobility cohort were young adults (the same age the mobility measure was captured). In fact, mobility is a significantly stronger and more consistent predictor of community violent crime and homicide rates than more commonly used factors like poverty, inequality, unemployment, and law enforcement presence.

Effect of pachinko parlour openings and closings on neighbourhood income-generating crimes in Japan: 6.5 years of observations.

BACKGROUND: Electronic gambling machines (EGMs) in gambling venues cause gambling-related harm and are a public health concern. This study focused on pachinko parlours as gambling venues and income-generating crimes as gambling-related harm. We aimed to verify whether income-generating crime rates increase in proximity to pachinko parlours and during the opening and post-closing periods of pachinko parlours relative to the pre-opening periods. METHODS: We used crime records spanning 6.5 years, including data on the opening and closing days of pachinko parlours for 6.5 years. We also sampled the addresses of convenience stores, bowling alleys, and households with official land prices all over Japan. The dependent variable was the daily income-generating crime incidence rate. Areas within 0.5 km, 0.5-1 km, 1-5 km, and 5-10 km radii of the pachinko parlours were the independent variables. The pre-, opening-, and post-closing periods of the pachinko parlours were also independent variables. The covariates included the number of convenience stores and always open pachinko parlours near pachinko parlours. Data were analysed using an analysis of variance (ANOVA) and covariance (ANCOVA). We also used differences-in-differences analysis (DD) to reveal the increase in income-generating crime rates in neighbourhoods exposed to the opening or closing of pachinko parlours. RESULTS: The daily income-generating crime incidence rate was significantly higher in areas within 0.5-1 km and 1-5 km radii of pachinko parlours than in those within 0.5 km and 5-10 km radii of them. The daily income-generating crime incidence rate was also significantly higher during the opening and post-closing periods than during the pre-opening period, even when controlling for the number of convenience stores and always open pachinko parlours. In particular, fraud crime rates increased with the opening and closing of pachinko parlours. CONCLUSIONS: The highest income-generating crime incidence rate was observed within a 0.5-1 km and 1-5 km radius of pachinko parlours. The opening of pachinko parlours also increased income-generating crime incidence rates, which increased after closing. Pachinko parlours are considered to be creating public harm because the corporate activities of these parlours make the youth in their neighbourhood perpetrators of fraud and older adults its victims. Future research should examine the current findings using official crime records.

The forensic potential of environmental DNA (eDNA) in freshwater wildlife crime investigations: From research to application.

Environmental DNA (eDNA) is widely used in biodiversity, conservation, and ecological studies but despite its successes, similar approaches have not yet been regularly applied to assist in wildlife crime investigations. The purpose of this paper is to review current eDNA methods and assess their potential forensic application in freshwater environments considering collection, transport and persistence, analysis, and interpretation, while identifying additional research required to present eDNA evidence in court. An extensive review of the literature suggests that commonly used collection methods can be easily adapted for forensic frameworks providing they address the appropriate investigative questions and take into consideration the uniqueness of the target species, its habitat, and the requirements of the end user. The use of eDNA methods to inform conservationists, monitor biodiversity and impacts of climate change, and detect invasive species and pathogens shows confidence within the scientific community, making the acceptance of these methods by the criminal justice system highly possible. To contextualise the potential application of eDNA on forensic investigations, two test cases are explored involving i) species detection and ii) species localisation. Recommendations for future work within the forensic eDNA discipline include development of suitable standardised collection methods, considered collection strategies, forensically validated assays and publication of procedures and empirical research studies to support implementation within the legal system.

Court-reported competence to proceed data across the United States.

OBJECTIVE: Competence to proceed (CTP) is a constitutional protection intended to facilitate fairness and dignity of court proceedings. Researchers have estimated that between 60,000 and 94,000 defendants are evaluated for CTP each year. Yet no research has systematically identified the number of evaluations conducted each year, despite their critical role and many profound implications. We used large-scale, systematic data collection to address this knowledge gap. HYPOTHESES: Given the siloed nature of the judicial and forensic mental health systems, we anticipated incomplete data and that the number of evaluations would far exceed previous estimates. METHOD: In September 2019, we used public information requests to solicit CTP evaluation order data from the judiciaries of 50 U.S. states, the District of Columbia, and the Federal Bureau of Prisons. We accepted evaluation proxies, such as evaluations ordered or evaluations filed, from the 2018/2019 calendar/fiscal year. We used Uniform Crime Reporting data to estimate a nationwide evaluation-to-arrest ratio and annual evaluation volume. RESULTS: Twenty-five states provided data. We deemed data from 18 states acceptable while acknowledging that data likely underrepresented actual evaluation volume. By extrapolating data from these 18 states, we estimated a conservative national evaluation-to-arrest ratio of 0.015 (95% confidence interval [-0.007, 0.037]), which suggested that 15 evaluations are conducted per 1,000 arrests each year. Consequently, it seems likely that at least 140,000 evaluations are ordered each year nationwide, with several hundred people referred for evaluations each day. CONCLUSIONS: Annual CTP evaluation volume likely far exceeds previous estimates. Transparent data are difficult, if not impossible, to obtain. As a result, researchers, legal and forensic mental health professionals, and policymakers lack the ability to implement informed, constitutionally protected CTP practices. Key implications, research directions, and detailed data infrastructure recommendations are provided. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Exposure to Crime and Racial Birth Outcome Disparities.

Urban communities in the United States were transformed at the end of the twentieth century by a rapid decline in neighborhood crime and violence. We leverage that sharp decline in violence to estimate the relationship between violent crime rates and racial disparities in birth outcomes. Combining birth certificate data from US counties with the FBI's Uniform Crime Reporting statistics from 1992 to 2002, we show that lower crime rates are associated with substantially smaller Black-White disparities in birth weight, low birth weight, and small for gestational age. These associations are stronger in more segregated counties, suggesting that the impacts of the crime decline may have been concentrated in places with larger disparities in exposure to crime. We also estimate birth outcome disparities under the counterfactual that the crime decline did not occur and show that reductions in crime statistically explain between one-fifth and one-half of the overall reduction in Black-White birth weight, LBW, and SGA disparities that occurred during the 1990s. Drawing on recent literature showing that exposure to violent crime has negative causal effects on birth outcomes, which in turn influence life-course outcomes, we argue that these results suggest that changes in national crime rates have implications for urban health inequality.

Feeling the future of eyewitness research.

For decades, eyewitness memory research has had the worthy goal of minimizing the chances that an innocent suspect is falsely identified. However, this is not the only goal. Partial receiver operating characteristic (ROC) curves provide a way to identify lineup procedures that keep the false alarm rate low while also maximizing the hit rate. Recently, there have been attempts to extend the ROC curve into high false alarm rate regions that fair lineups are intentionally designed to avoid. These new full ROCs could provide a way for the police to circumvent the protections offered by fillers in a fair lineup. Moreover, these attempts to extend the ROC curve are not based on a mathematically coherent model of latent diagnostic signals. In this article, we empirically demonstrate how this lack of a solid foundation can lead to dubious conclusions, such as eyewitnesses possessing precognition and being able to reliably identify the person they will see commit a crime in the future.

Locality-based social media: The impact of content consumption and creation on perceived neighborhood crime, safety, and offline crime prevention.

Locality-based social media (LBSM) allow members of the community to exchange news, connect with local people, and raise awareness of problems such as crime. This study aims to better understand the influence of LBSM on perceptions of community crime, safety, and crime prevention. Drawing on survey data from 1000 Australians, we assess the extent to which frequency of exposure to crime on LBSM and intensity of engagement on LBSM influence perceptions of crime, safety, and offline crime prevention behaviors. LBSM content creators perceive less crime and feel safer compared to individuals who only consume content on LBSM. Creators of content are also more likely than consumers to engage in offline crime prevention action. Our findings highlight the need to encourage more balanced engagement across all members of community social media. Smaller groups that contain only local residents may be best suited to achieve this outcome.

Law enforcement-led, pre-arrest diversion-to-treatment may reduce crime recidivism, incarceration, and overdose deaths: Program evaluation outcomes.

INTRODUCTION: Substance use disorder (SUD), overdose, and drug use-related crime continue to increase in the U.S. Pre-arrest diversion-to-treatment programs may decrease crime recidivism and overdose deaths. We assessed the impact of a community-wide diversion-to-treatment initiative on crime, incarceration, and overdose. METHODS: This article reports on the prospective evaluation of a law enforcement-led, pre-arrest diversion-to-treatment program on crime, incarceration, and overdose deaths compared between participants who did not engage (non-engaged; n = 103), engaged but did not complete (non-completers; n = 60) and completed (completers; n = 100) the program. Participants included 263 adults apprehended by police officers for low-level, drug use-related crimes between September 1, 2017 and August 31, 2020. The program offered eligible persons participation in a six-month program consisting of a clinical assessment, referral to addiction treatment services based on each individual's needs, connection to recovery peer support, and treatment engagement monitoring. Completers had their initial criminal charges 'voided,' while non-engaged and non-Completer participants had their original charges filed with local prosecutors. The project collected participant-level data on arrests and incarceration within 12 months before and 12 months after program enrollment and data on fatal overdose within 12 months after program enrollment. Logistic regression predicted outcomes using baseline demographics (sex, age, race, housing status) and pre-index crime arrest and incarceration indices as covariates. RESULTS: After accounting for baseline demographics and pre-enrollment arrest/incarceration history, logistic regression models found that the non-engaged and the non-Completer groups were more likely than completers to be arrested (odds ratios [ORs]: 3.9 [95 % CI, 2.0-7.7] and 3.6 [95 % CI, 1.7-7.5], respectively) and incarcerated (ORs: 10.3 [95 % CI, 5.0-20.8] and 21.0 [95 % CI, 7.9-55.7], respectively) during the 12-month follow-up. Rates of overdose deaths during the 12-month follow-up were greatest in non-engaged (6/103, 5.8 %) and non-Completer (2/60, 3.3 %) groups; completers had the lowest rate (2/100, 2.0 %), with all deaths occurring after completion of the six-month treatment/monitoring program. CONCLUSIONS: Collaboration between law enforcement, clinicians, researchers, and the broader community to divert adults who commit a low-level, drug use-related crime from criminal prosecution to addiction treatment may effectively reduce crime recidivism, incarceration, and overdose deaths.

Crime against women in India: district-level risk estimation using the small area estimation approach.

Background: The global prevalence of crimes against women has made it an enduring public health challenge that has persisted over time. The achievement of the 2030 Sustainable Development Goal (SDG) is intricately tied to the actions taken to prevent these crimes as their repercussions directly affect progress across various SDGs. This study aimed to provide a comprehensive examination of the prevalence of crimes against women across districts and states in India, analyzing changes from 2020 to 2022, and subsequently identifying associated factors. Methods: The study is an ecological analysis conducted across all districts of India using the data on crimes against women for the period 2020 and 2022 obtained from the National Crime Records Bureau (NCRB) of India. A small area estimation method was used to obtain district-level relative risks of crime against women for both periods. Hotspot analysis was carried out to identify the current hotspots and coldspots. Further spatial regression was used to identify the factors associated with crimes against women in the year 2022. Results: The results indicated a rise in the reported crime against women cases between 2020 and 2022. The rate of crimes against women at the national level was found to be 57 in the year 2020, whereas, in 2022, it increased to 67. The highest crime rate in the year 2022 was found to be 145 in Delhi, while Nagaland had the lowest crime rate of 5. The relative risk of crime against women varied from 0.046 to 4.68 in 2020, while in 2022, it spanned from 0.02 to 6.10. Significant hotspots were found in parts of Rajasthan, Madhya Pradesh, Haryana, Telangana, and Odisha. The results of the spatial error regression model showed that the sex ratio and the population density of the district have significant associations with the occurrence of crimes against women. Conclusion: The rise in the incidence of crime against women emphasizes the importance of tackling the spatial inequality in relative risk across Indian districts. By thoughtfully addressing this variation and conducting targeted studies in high-risk areas, we can enhance our understanding of the obstacles to implementing effective measures against violence targeting women.

Gender-Specific Pathways in Violent Crime: Investigating the Role of Demographic and Mental Health Factors Using Mixed Graphical Models and Bayesian Networks.

This research aims to uncover gender-specific relationships and pathways that contribute to the perpetration of violent crimes, using sophisticated analytical tools to analyze the complex interactions between various factors. Employing Mixed Graphical Models and Bayesian networks, the study analyzes a sample of 1,254 prisoners (61.64% males and 38.36% females) to investigate the relationships among demographic factors, mental health issues, and violent crime. The study utilizes comprehensive measures, including the Beck Depression Inventory, Beck Anxiety Inventory, and Childhood Trauma Questionnaire, to assess participants' mental health status.Key findings reveal significant gender differences in the pathways to violent crime. For males, incomplete parental marriages strongly correlate with criminal behavior severity, while marriage status emerges as a significant factor, with married males less likely to commit violent crimes. In contrast, these relationships are not significant for females. Bayesian network analysis indicates that living in urban areas differently influences education and emotional expression across genders, emphasizing the importance of contextual factors. The study highlights the need for gender-specific considerations in criminal justice policies and interventions. It underscores the complex interplay of demographic and mental health factors in influencing violent crime pathways, providing insights for developing more effective prevention strategies. Despite its cross-sectional design and reliance on self-reported data, the research significantly contributes to understanding the gendered dimensions of criminal behavior.

Abnormal Behavior Recognition Based on 3D Dense Connections.

Abnormal behavior recognition is an important technology used to detect and identify activities or events that deviate from normal behavior patterns. It has wide applications in various fields such as network security, financial fraud detection, and video surveillance. In recent years, Deep Convolution Networks (ConvNets) have been widely applied in abnormal behavior recognition algorithms and have achieved significant results. However, existing abnormal behavior detection algorithms mainly focus on improving the accuracy of the algorithms and have not explored the real-time nature of abnormal behavior recognition. This is crucial to quickly identify abnormal behavior in public places and improve urban public safety. Therefore, this paper proposes an abnormal behavior recognition algorithm based on three-dimensional (3D) dense connections. The proposed algorithm uses a multi-instance learning strategy to classify various types of abnormal behaviors, and employs dense connection modules and soft-threshold attention mechanisms to reduce the model's parameter count and enhance network computational efficiency. Finally, redundant information in the sequence is reduced by attention allocation to mitigate its negative impact on recognition results. Experimental verification shows that our method achieves a recognition accuracy of 95.61% on the UCF-crime dataset. Comparative experiments demonstrate that our model has strong performance in terms of recognition accuracy and speed.

Parents' 'fault' must not weigh on their children. Surrogacy as a universal crime in Italy: Is it compatible with bioethical principles?

Abstract: Assisted reproduction techniques (ARTs) have given rise to novel, non-traditional family models. Still, among the various applications and approaches of 'medically assisted procreation' (MAP), the most divisive one undoubtedly is 'gestational surrogacy' (GS), also in light of the rising number of couples who have chosen it over the past twenty years. Another major implication of ARTs is the creation of intentional (or intended) parenthood in addition to genetic one: the genetic parent's partner is thus defined as the intentional (or second) parent, who by free choice, shares the family project with the genetic parent, even without any biological tie with the child. Hence, the intended parent takes on the same rights and responsibilities towards the child as the biological one. Several countries, including Italy, have enacted norms to discourage cross-border surrogacy, deeming it harmful to the dignity of women and children. Recently, however, the Italian government has decided intensify the fight against this practice: the Chamber of Deputies (Italy's lower chamber of parliament) has passed a law which punishes couples that resort to surrogacy even if the agreement and the birth take place abroad. Therefore, surrogacy would become a so-called universal crime. In light of the fact that criminalization is a serious and highly consequential step, which may have life-changing consequences for the intended parents, the aim of this paper is to assess whether this may be an effective instrument for regulating the interests at stake and, therefore, whether it would be desirable for other countries to follow such a model. Ultimately, it is worth remarking that for those who seek to achieve parenthood, such a desire is among the most profound aspects of a person's existential realization. When due to a delicate balance of ethics standards and potentially conflicting rights, lawmakers inter-vene, an authoritarian approach is unlikely to be beneficial. Offering real alternatives to surrogacy in an organic and pragmatic fashion (i.e. expediting adoption procedures, favoring motherhood at a younger age, when infertility issues are less likely to have set in) may be the best way to disincentivize fertility traveling and make sure the rights, hopes and aspirations of all the parties involved are upheld properly.