Expert Reports Research Articles

Assessing the Reliability of Firearms Expert Reports: A Critical Analysis

This critical analysis investigates the dependability of firearms expert reports, which are admissible in evidence under Section 39(1) of the Bharatiya Sakshya Adhiniyam, 2023, in criminal investigations and legal proceedings, emphasizing their function in connecting firearms to criminal activities through ballistic evidence. The research reviews advancements in firearms analysis, including trajectory reconstruction and gunshot residue testing, while also addressing concerns related to the subjective nature of these analyses and the absence of standardization across various laboratories. Through an extensive literature review, this paper identifies key issues impacting the credibility of firearms reports, such as human error, lack of proper video documentation of the search and seizure operation along with laboratory analysis of the firearms, the subjective interpretation of tool marks, absence of reliable and independent witnesses, failure to convince the court regarding the reasons on which the expert opinion is grounded, and varying methodologies. The findings indicate that although firearms expert reports play a vital role in criminal cases, elements like evidence management and the level of expertise significantly influence their reliability, highlighting the necessity for rigorous standards and quality control to maintain their evidentiary value in court.

Temporal development of subdural collections in infants with confessed abusive head trauma: a forensic neuroimaging study.

Estimating the age of injury in pediatric abusive head trauma (AHT) is a challenging task but potentially valuable for the identification of perpetrators. The aims of the study are (1) to describe the temporal development of different imaging features of subdural collections (SDCs), and (2) to provide novel age-diagnostic reference data for forensic-radiological expert reports. Using a multi-center approach and a 10-year study period, serial neuroimaging studies of 13 comprehensively investigated AHT cases (8 CT and 26 MRI scans) were analyzed regarding several subdural imaging parameters (SDC appearances, entities, components, and associated findings). Due to confessions by perpetrators, the time points of the trauma were presumed unique and known in all cases facilitating correlation of imaging findings with time. Hyperdense SDCs in CT were found up to 9 d post-injury (p.i.), CSF-like SDCs in CT or MRI as early as from the 3rd hour p.i., and subdural membrane formation as late as from day 283. The heterogeneous variant of the subdural hematohygroma was observed to be the dominant SDC entity between 3 h and 22 d p.i. The tadpole sign was detected in MRI between 3 h and 46 d p.i. Certain subdural imaging findings may be helpful for estimating the age of injury in AHT. Subdural membrane formation is demonstrated to be a late finding and the tadpole sign is an early phenomenon p.i. The data corroborated that the sediment but not the supernatant has the potential for being valuable for age-diagnostic aspects. Question Reliable evidence-based data on the development of SDCs is sparse but required for expert opinions on pediatric AHT. Findings Reference data on the evolution of the imaging appearance of SDCs and associated phenomena in confirmed cases of AHT are provided. Clinical relevance As there is a great need for estimating the age of injury in criminal and civil proceedings, many clinical radiologists are confronted with the diagnostic and forensic aspects of AHT that are addressed in the present study.

Being made visible: Responding to complex needs created by child removal in the Family Court

ABSTRACT The transfer of residence (aka child removal) when domestic abuse is a factor appears to have increased as a practice to resolve challenging child arrangements in public and private law proceedings. Minimal data exists regarding the transfer of residence in public law and the number of private law orders made each year is less clear. Serious concerns about the safety of the family courts continue to be raised, including expert reports recommending the transfer of residency. Following, often harrowing, removals mothers report how they are left to manage complex needs while still being expected to ‘fight’ for their child’s return. In 2022, Project Lighthouse was founded in response to the growing population of mothers who have endured domestic abuse and child removal The charity is beginning to understand the impact and lifelong trauma caused by child removal and, often, is a mechanism of coercive control hidden in plain sight of the family court. Focusing mainly on doctoral and peer research, this paper discusses how mothers’ lived experiences suggest that child removal in private law proceedings is increasing. The paper concludes by calling for urgent research focusing on the impact of child removal, which will help increase much needed awareness.

RDSSMM: A FUZZY EXPERT SYSTEM FOR ENHANCED MALARIA DIAGNOSIS AND MANAGEMENT IN ENDEMIC REGIONS

Malaria continues to be a pressing public health issue in tropical regions, with its deleterious effects on human health well documented. While a minority of cases may be life threatening, delayed diagnosis can significantly worsen the severity of malaria. This paper presents the Recommender and Decision Support System for Malaria Management (RDSSMM), designed to assist researchers, physicians and healthcare professionals in malaria endemic areas. RDSSMM is made up of four main components: a knowledge base, fuzzification module, inference engine, and defuzzification module. Mayo Hospital Lahore, Pakistan was used to develop the fuzzy expert system based on experts’ opinions in the field of medicine. For ease of access, a mobile application has been included which allows patients to get primary diagnosis by keying in their physical signs that are then transformed into fuzzy membership functions. The data was collected from the outpatient department of Mayo Hospital Lahore as one way of evaluating RDSSMM’s effectiveness. Comparing its predictions to expert medical diagnoses and reports pointed out this system’s performance. Malaria risk was correctly predicted 80% of the time by RDSSMM. These findings show that RDSSMM can greatly improve malaria management in rural areas through provision of quick and accurate results, which would facilitate timely decisions regarding malaria testing and monitoring.

Enhancing Research Involvement of Young People With Lived Expertise: Reflecting on Experiences in Digital Mental Health Research.

Given the rapid development of digital mental health technologies and a focus on connecting with youth, there is an urgent need to enhance the engagement of young people with lived expertise in research. Even so, youth with lived experience of accessing mental health services are particularly affected by power imbalances and may receive limited compensation in academic settings. Therefore, an emphasis on how research engagement not only improves the work but can benefit young people themselves is required. Here, 5 young people with lived expertise report on their experience of being employed as researchers at the University of Sydney's Brain and Mind Centre. As such, this team is uniquely placed to offer reflections from their work across multiple stages of research. This led to four key insights, including (1) creating accepting work cultures, (2) providing diverse opportunities for involvement, (3) giving young people agency and flexibility around sharing lived experiences, and (4) creating accommodating work environments for all researchers. We suggest that these insights can support more diverse ways of engaging young people and maximizing the value of participation for both researchers and young people themselves.

Epistemological Misunderstandings of the German Federal Court of Justice in Criminal Cases Regarding the Null Hypothesis: Verification in the Credibility Assessment

Epistemological Misunderstandings of the German Federal Court of Justice in Criminal Cases Regarding the Null Hypothesis: Verification in the Credibility Assessment Abstract: Background: The article deals with the decision of the German Federal Court of Justice (Bundesgerichtshof, BGH) in criminal matters regarding credibility assessment dated 30 July 1999 (1 StR 618/98, BGHSt 45, 164). Regarding criminal matters, the BGH formulated specific requirements for credibility assessments based on two published scientific expert reports. Method: We analyzed conflicting postulates of scientific theory in the expert reports and the reception of these principles in the BGH judgment by examining the original quotes. Results: Given the central importance of this BGH decision, we analyzed the original expert reports for their epistemological content. The BGH formulated the scientific approach of starting from the assumption that the statement is untrue - the so-called "null hypothesis". In doing so, it referred to Popper's deductivism, albeit without addressing the rules of hypothesis testing. Based on the second expert report, which argues for inductive.

Spor Lesů České republiky, s. p., se správními orgány o včasnou reakci na kůrovcovou kalamitu

The bark beetle calamity that hit the Czech Republic has been reflected, among other things, in the approach of administrative authorities and courts reviewing administrative acts. The article is an expert report that provides information on the judgment of the Municipal Court in Prague, which reflects the current approach of the courts to the assessment of offences consisting in neglect of forest care during the bark beetle calamity. The example of the state entity shows how this entity uses technical and professional security in the case of forest care during a bark beetle calamity. By analyzing the court decision, it was concluded that it is necessary to strictly comply with the obligations of the forest manager or owner to ensure forest protection against bark beetle calamity, but it should not become a precedent against small owners who do not have the personnel and technical capabilities of large forestry companies. According to the conclusions, it is evident that the court decision imposes high requirements on the forest owner, which the small owner is not able to meet. The article invites a discussion on whether the state should take a more active role in measures against bark beetle calamities.

PROCEDURE FOR IDENTIFYING ARTILLERY MEANS OF DESTRUCTION

For evidence in the International Criminal Court of the crimes of the Russian Federation for strikes on civilian infrastructure, substantial evidence is required. Indeed, indisputable evidence includes fragments of missiles and munitions found at the sites of impact. The article presents the procedure for identifying enemy artillery means of destruction, which consists of eight stages. The procedure for identifying artillery means of destruction from fragments found at the scene should be comprehensive, including the determination of the type of munition, identification of the probable area of enemy firing positions from which the strike was conducted, and should include the following stages: inspection of the crater to collect informative fragments; determination of the type of munition; identification of the type of artillery system from which the fire was conducted; determination of the direction from which the artillery shell was fired; identification of the probable area of enemy firing positions. The use of 3D models for reconstructing the shell casing has been proposed, which will enable the identification of enemy types of munitions much faster and without the need for laboratory analysis. Based on the results of the munition type identification, an expert report is compiled, which may also include the names of individuals involved in the crime. Step-by-step execution of the stages in the procedure for identifying artillery shell explosions, starting with working at the crater and ending with comparative measurements, including the use of 3D models, will optimize and facilitate the work of experts at the scene and speed up the process of providing information to investigators. Additionally, applying the stages of the procedure will enable the creation of a database of identified fragments for further study and comparison during the experts' work. Thus, the proposed procedure for identifying fragments of enemy artillery munitions collected from the scene will significantly ease the work of military personnel and forensic experts, facilitate cooperation between forensic laboratories and law enforcement agencies at both national and international levels, and ultimately contribute to the successful investigation of war crimes.

Automated Transformation of Unstructured Cardiovascular Diagnostic Reports into Structured Datasets Using Sequentially Deployed Large Language Models.

Rich data in cardiovascular diagnostic testing are often sequestered in unstructured reports, with the necessity of manual abstraction limiting their use in real-time applications in patient care and research. We developed a two-step process that sequentially deploys generative and interpretative large language models (LLMs; Llama2 70b and Llama2 13b). Using a Llama2 70b model, we generated varying formats of transthoracic echocardiogram (TTE) reports from 3,000 real-world echo reports with paired structured elements, leveraging temporal changes in reporting formats to define the variations. Subsequently, we fine-tuned Llama2 13b using sequentially larger batches of generated echo reports as inputs, to extract data from free-text narratives across 18 clinically relevant echocardiographic fields. This was set up as a prompt-based supervised training task. We evaluated the fine-tuned Llama2 13b model, HeartDx-LM, on several distinct echocardiographic datasets: (i) reports across the different time periods and formats at Yale New Haven Health System (YNHHS), (ii) the Medical Information Mart for Intensive Care (MIMIC) III dataset, and (iii) the MIMIC IV dataset. We used the accuracy of extracted fields and Cohen's Kappa as the metrics and have publicly released the HeartDX-LM model. The HeartDX-LM model was trained on randomly selected 2,000 synthetic echo reports with varying formats and paired structured labels, with a wide range of clinical findings. We identified a lower threshold of 500 annotated reports required for fine-tuning Llama2 13b to achieve stable and consistent performance. At YNHHS, the HeartDx-LM model accurately extracted 69,144 out of 70,032 values (98.7%) across 18 clinical fields from unstructured reports in the test set from contemporary records where paired structured data were also available. In older echo reports where only unstructured reports were available, the model achieved 87.1% accuracy against expert annotations for the same 18 fields for a random sample of 100 reports. Similarly, in expert-annotated external validation sets from MIMIC-IV and MIMIC-III, HeartDx-LM correctly extracted 201 out of 220 available values (91.3%) and 615 out of 707 available values (87.9%), respectively, from 100 randomly chosen and expert annotated echo reports from each set. We developed a novel method using paired large and moderate-sized LLMs to automate the extraction of unstructured echocardiographic reports into tabular datasets. Our approach represents a scalable strategy that transforms unstructured reports into computable elements that can be leveraged to improve cardiovascular care quality and enable research.

The 2023 European Task Force Criteria for Diagnosis of Arrhythmogenic Cardiomyopathy: Historical Background and Review of Main Changes.

Arrhythmogenic cardiomyopathy (ACM) is a cardiac disease featured by non-ischemic myocardial scarring linked to ventricular electrical instability. As there is no single gold-standard test, diagnosing ACM remains challenging and a combination of specific criteria is needed. The diagnostic criteria were first defined and widespread in 1994 and then revised in 2010, approaching and focusing primarily on right ventricular involvement without considering any kind of left ventricular variant or phenotype. Years later, in 2020, with the purpose of overcoming previous limitations, the Padua Criteria were introduced by an international expert report. The main novel elements were the introduction of specific criteria for left ventricular variants as well as the use of cardiac magnetic resonance for tissue characterization and scar detection. The last modifications and refinement of these criteria were published at the end of 2023 as the European Task Force criteria, by a "head-quarter" of ACM international experts, proving the emerging relevance of this condition besides its difficult diagnosis. In this review, emphasizing the progress in understanding the aetiology of the cardiomyopathy, an analysis of the new criteria is presented. The introduction of the term "scarring/arrhythmogenic cardiomyopathy" sets an important milestone in this field, underlying how non-ischemic myocardial scarring-typical of ACM-and arrhythmic susceptibility could be the main pillars of numerous different phenotypic variants regardless of etiology.

From local networks to national reform? Programmatic groups in the regionalization of German health policy

AbstractBefore policy reform initiatives reach the agenda of national decision makers, such initiatives often start at a small‐scale, local level. The Programmatic Action Framework (PAF) emphasizes the importance of biographical connections to understand how a group of policy actors forms, and how it develops programs that may lead to decade‐long policy change. This article applies the PAF to study the emergence of a programmatic group behind initiatives on regionalization in German health policy through discourse analysis and expert interviews. The study contributes to understanding social networks behind policy programs and social‐psychological, partly informal drivers of policy change. The results show that many PAF conditions have already been met in the German health policy subsystem. We describe a network of policy actors with local and organizational drivers that has led to nationwide cooperation on regionalization.Related ArticlesCaliskan, Cantay. 2020. “The Influence of Elite Networks on Green Policy Making.” Politics & Policy 48(6): 1104–37. https://doi.org/10.1111/polp.12382.Petridou, Evangelia, Per Becker, and Jörgen Sparf. “Policy Entrepreneurs in Public Administration: A Social Network Analysis.” Politics & Policy 49(2): 414–45. https://doi.org/10.1111/polp.12400.Svallfors, Stefan, Erica Falkenström, Corrie Hammar, and Anna T. Höglund. 2022. “Networked Reports: Commissioning and Production of Expert Reports on Swedish Health Care Governance.” Politics & Policy 50(3): 580–97. https://doi.org/10.1111/polp.12462.

Scaling the value of multilingualism: ‘Common-sense’ narratives of growth and inequality in an expert report to the U.S. Congress

I examine the powerful institutional scaling project of the 2017 American Academy of Arts & Sciences report, America’s Languages: Investing in Language Education for the 21st Century. I analyze the scalar configurations emerging in the report’s narrative argumentation with the goal of denaturalizing its scale-making narratives in the production of a ‘common-sense’ regimentation of the value of language learning and multilingualism in the United States. These configurations show how social inequalities in access to language learning are reinforced through the ideologically mapped categorizations of language to sociocultural domains and kinds of speakers. Nomically- and reportively-calibrated, future-oriented narratives present figurations of growth and progress that mix nationalist ideologies of US expansionism, neoliberal and raciolinguistic logics, and even utopian visions. By focusing on scale, and in particular on interscalar processes of comparison, the resonances across these sometimes contradictory ideological frames are brought into focus.

Экспертиза результатов подрядных работ, произведённых для нужд системы МВД России: проблемы правовой регламентации

The article considers the existing gaps in the legal regulation of expert examination of the results of contractual work performed under the state contract. In this regard, the author substantiates and proposes a unified legal mechanism for the implementation of expert examination of the results of contractual work performed for the needs of the system of the Ministry of Internal Affairs of Russia. The basis of this mechanism should be a departmental normative legal act regulating the order of delivery and acceptance of contract works; procedure for examination and selection of external and internal experts, third-party expert organizations; cases of internal and external expert examination; establishing qualification requirements for internal experts, independent experts and expert organizations; standard forms of internal expert report and act of delivery and acceptance of the results of contract works.

A few remarks on professional and expert activities in criminal proceedings

In criminal proceedings, the establishment of facts beyond reasonable doubt is a cornerstone principle, ensuring that criminal offenses are accurately identified and perpetrators are justly punished while respecting the rights of all parties involved. The proof process is vital, with evidence playing an essential role in determining the outcomes of various procedural stages. Among the types of evidence, expert evidence has become increasingly significant, especially with advances in science and technology broadening the scope of issues requiring specialized knowledge. This paper aims to analyze the roles and impacts of professional and expert activities in criminal procedures. It seeks to highlight the distinctions between expert reports and professional statements, illustrating their respective legal standings and importance in the context of Slovak law. By examining the regulatory framework, specifically Act No. 382/2004 Coll. on experts, interpreters, and translators, and the Criminal Procedure Code (Act No. 301/2005 Coll.), the paper delves into the conditions, rights, and obligations of experts. Additionally, it addresses the significance of expert consultants introduced by the Criminal Procedure Code, who provide advisory services without precluding the involvement of expert witnesses for comprehensive technical assessments. Expert reports, governed by stringent formalities, are pivotal in addressing complex technical issues within criminal cases. These reports must be produced by court-appointed experts and include detailed descriptions of the methods used and the conclusions drawn. Conversely, professional statements, considered documentary evidence, do not carry the same legal weight and lack the formalities required for expert reports. The Criminal Procedure Code also ensures that expert evidence is used appropriately by stipulating when and how expert opinions should be sought. This comprehensive approach ensures that all technical and scientific issues are thoroughly examined, contributing to the fair administration of justice. In conclusion, the integration of expert and professional activities in criminal proceedings enhances the accuracy and reliability of judicial decisions. By leveraging specialized knowledge, the legal system can better fulfill its mandate of delivering justice while upholding the principles of fairness and due process. This paper underscores the necessity of clear regulatory frameworks and the proper application of expert evidence to achieve these aims.

Hyperthermia and Exertional Heatstroke During Running, Cycling, Open Water Swimming, and Triathlon Events.

Few previous epidemiological studies, sports medicine position statements, and expert panel consensus reports have evaluated the similarities and differences of hyperthermia and exertional heatstroke (EHS) during endurance running, cycling, open water swimming, and triathlon competitions. Accordingly, we conducted manual online searches of the PubMed and Google Scholar databases using pre-defined inclusion criteria. The initial manual screenings of 1192 article titles and abstracts, and subsequent reviews of full-length pdf versions identified 80 articles that were acceptable for inclusion. These articles indicated that event medical teams recognized hyperthermia and EHS in the majority of running and triathlon field studies (range, 58.8 to 85.7%), whereas few reports of hyperthermia and EHS appeared in cycling and open water swimming field studies (range, 0 to 20%). Sports medicine position statements and consensus reports also exhibited these event-specific differences. Thus, we proposed mechanisms that involved physiological effector responses (sweating, increased skin blood flow) and biophysical heat transfer to the environment (evaporation, convection, radiation, and conduction). We anticipate that the above information will help race directors to distribute pre-race safety advice to athletes and will assist medical directors to better allocate medical resources (eg, staff number and skill sets, medical equipment) and optimize the management of hyperthermia and EHS.

Expert psychiatric reports for the Parole Board for England and Wales

SUMMARY The Parole Board for England and Wales advises on the release, recall and licence conditions of a small subgroup of prisoners serving determinate sentences and the majority of those serving indeterminate sentences. Since the establishment of the Parole Board in 1968, the parole process has been shaped and clarified by further legislation and case law. In certain scenarios, psychiatric expert evidence may be sought to inform the Board's determination of whether a prisoner can be safely released into the community. Psychiatrists preparing expert reports for the Parole Board should be familiar with the current operationalisation of parole. This involves an understanding not only of the functioning of the Parole Board, but also of the criminal justice context in which prisoners subject to parole are managed. Having set the scene, by describing the role of the Parole Board and the wider context, this article examines how to undertake assessments and complete psychiatric reports for the Board.

Defining the process of malpractice claims and indemnity payments

Medical malpractice is defined as an omission or act that deviates significantly from the norms of medical practice and leads to harm or injury to the patient. The key legal elements of medical malpractice are 1) the presence of a patient-doctor relationship, 2) failure to meet a standard-of-care, 3) evidence of injury relating directly from sub-standard care, and 4) harm relating to that injury. If a patient feels as though they have been a victim of a medical error, the first step in the process of beginning a claim is that the patient/plaintiff will consult with an attorney who specializes in malpractice. If the case is determined to be valid, a suit can be filed to initiate a pre-discovery and deposition process. During the discovery process, information is gathered through interrogatories, requests for disclosure, requests for production, requests for admission, expert reports, and depositions. The pre-trial process generally culminates in a deposition. This step involves a formal proceeding whereby the physician provides a recorded testimony under oath, which may be used in the future if the suit is brought to court. Following this process, suits can be dropped, settled, or end in the pursuit of a trial. When a defendant is found liable in a medical malpractice case, the plaintiff is entitled to indemnity payments in proportion to the harm and damages associated with the malpractice case. Indemnity payments are expected to cover various damages, including economic, non-economic, and less often punitive damages. Economic damages include tangible medical costs, like medical bills, future medical care, lost wages, and future lost wages associated with the injury or disability resulting from the malpractice event.

Diagnostic Accuracy of the Persyst Automated Seizure Detector in the Neonatal Population.

Neonatal seizures are diagnostically challenging and predominantly electrographic-only. Multichannel video continuous electroencephalography (cEEG) is the gold standard investigation, however, out-of-hours access to neurophysiology support can be limited. Automated seizure detection algorithms (SDAs) are designed to detect changes in EEG data, translated into user-friendly seizure probability trends. The aim of this study was to evaluate the diagnostic accuracy of the Persyst neonatal SDA in an intensive care setting. Single-centre retrospective service evaluation study in neonates undergoing cEEG during intensive care admission to Great Ormond Street Hospital (GOSH) between May 2019 and December 2022. Neonates with <44 weeks corrected gestational age, who had a cEEG recording duration >60 minutes, whilst inpatient in intensive care, were included in the study. One-hour cEEG clips were created for all cases (seizures detected) and controls (seizure-free) and analysed by the Persyst neonatal SDA. Expert neurophysiology reports of the cEEG recordings were used as the gold standard for diagnostic comparison. A receiver operating characteristic (ROC) curve was created using the highest seizure probability in each recording. Optimal seizure probability thresholds for sensitivity and specificity were identified. Eligibility screening produced 49 cases, and 49 seizure-free controls. Seizure prevalence within those patients eligible for the study, was approximately 19% with 35% mortality. The most common case seizure aetiology was hypoxic ischaemic injury (35%) followed by inborn errors of metabolism (18%). The ROC area under the curve was 0.94 with optimal probability thresholds 0.4 and 0.6. Applying a threshold of 0.6, produced 80% sensitivity and 98% specificity. The Persyst neonatal SDA demonstrates high diagnostic accuracy in identifying neonatal seizures; comparable to the accuracy of the standard Persyst SDA in adult populations, other neonatal SDAs, and amplitude integrated EEG (aEEG). Overdiagnosis of seizures is a risk, particularly from cEEG recording artefact. To fully examine its clinical utility, further investigation of the Persyst neonatal SDA's accuracy is required, as well as confirming the optimal seizure probability thresholds in a larger patient cohort.

Reframing sexual violence against Indigenous women as genocide: Mayan women’s experiences of sexual offenses during Guatemala’s Armed Conflict

ABSTRACT Judgment of sexual violences against Mayan women during the Armed Conflict in Guatemala remains neglected. Justice processes have yearned harassment of victims and judges, sentences overruled, and epistemological barriers distancing the Western judiciary system from Mayan women’s experiences of sexual violence. Judiciary expert reports suppose a dialogue opportunity between epistemic margins and Western hegemony, as they play the role of objectifying the experiences of victims via scientific research methods. Here, I show how using decolonial and communitarian feminism theoretical-methodological approaches builds epistemic bridges. I discuss that sexual offences targeted a subject whose existence supposes a threat to the State’s patriarch-colonialist, and misogynist-racist interests: Mayan women or Ixoq. I argue that sexual violence targeted against Mayan women must be understood as genocide, for it aims at Ixoq’s annihilation in the context of the Ladino Nation Project in 1980s Guatemala. This novel cartographic approach helps building epistemic bridges to ensure hermeneutic justice.

Digital Sustainable Growth Model (DSGM): Achieving Synergy Between Economy and Technology to Mitigate AGI Risks and Address Global Debt Challenges

The emergence of Artificial General Intelligence (AGI) as Artificial Humanity (AH) marks a crucial turning point in human history, influencing both the digital economy and sustainable development. AGI has the potential to either drive unprecedented progress or threaten sustainability. This perspective study critiques existing capitalist systems and proposes a shift towards sustainable digital strategies to address the uncertain future role of AGI. It aims to encourage further research and collaboration for a smooth transition to a society that integrates AGI, highlighting AGI's potential to contribute to sustainable development. The study employs a multi-step methodology, including interviews with AI models such as ChatGPT-4 and Gemini, validation of insights, and comparisons with expert reports. It introduces the Digital Sustainable Growth Model (DSGM) as a framework for harmonizing humanity with AH, providing new opportunities for growth and ethical governance. The DSGM addresses both human vulnerabilities and AH’s potential. Additionally, the study highlights the BankRabbna application as an innovative digital tool, intended to be the first of its kind—a global company primarily owned by people worldwide. Its main function is to automate AI regulation, ensuring AGI safety while also tackling global debt.