scholarly journals Role of Artificial Intelligence Machine Learning in Deepening the Internet Plus Social Work Service

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Hexiao Yin

The traditional social work services are mainly visits which have some problems such as inconvenient information circulation, unreasonable resource allocation, and low service efficiency. To improve these problems, Internet plus is used to reform social work services and form an Internet plus social work service mode. Although this model has a very good improvement effect on social work service, with the rapid increase of the number of social work services and the rapid growth of the number of volunteers, this model has limitations in the arrangement of social work services and volunteer management. Therefore, based on this model, with the help of machine learning, the Internet plus social work service mode can be deepened by using machine learning to manage social services and volunteers. Internet plus social work service is the main problem in this paper. The Internet plus social work service mode is formed. Then, the deepening role of machine learning in Internet + social work service is discussed, and some problems in Internet plus social work service mode are improved. Internet plus social work service mode can better improve the problems in traditional social work service. The paper also uses machine learning to further optimize the mode of Internet plus social work service, which has a good application in social work service prospects.

2009 ◽  
Vol 90 (3) ◽  
pp. 336-342 ◽  
Author(s):  
W. David Harrison

Community social work was a model of practice that was advocated by many roughly from the late 1970s through the 1980s, in the United Kingdom. The approach faded as the field of social work and social services changed drastically in subsequent years. This study conducted in 2006 and 2007, follows up a 1984 study of community social work advocates to learn how the same people understood the changes that occurred over more than 20 years. A total of 9 of the original 30 participants discussed the important role of social policy and social changes that appear to have led toward more individualized, mechanistic, and often control-oriented services.


1981 ◽  
Vol 62 (7) ◽  
pp. 387-397 ◽  
Author(s):  
Richard Gaskins

New legislation regulating social services is based on judicial models of fairness and due process. These models are, however, inadequate because they are founded on a misleading analogy between discretion in the judicial system—where cure may be procedural—and the more complex discretion found in social work.


2019 ◽  
Vol 31 (3) ◽  
pp. 32-45
Author(s):  
Matt Rankine

INTRODUCTION: Supervision is crucial to social workers’ practice. Within the current managerial social services environment, the supervisor juggles organisational and professional accountabilities—organisational agendas often dominate practitioners’ reflection. In response, alternative types of supervision have emerged, one of which is external supervision.METHODS: This paper analyses qualitative discussions with key informants and supervisory dyads in community-based child welfare services regarding reflective practices in supervision. Internal and external supervision arrangements were discussed in depth relative to their impact on social work practice.FINDINGS: Analysis of discussions identified four themes: the significance of external supervision for building capacity, resilience and confidential reflective space; the role of internal supervision for managerial and organisational agendas; tensions associated with external supervision regarding funding and accountability; and important attributes of the supervisor in successful working relationships.CONCLUSIONS: External supervision is essential for professional competence but considerable inter-organisational variation exists in how this is utilised. Three key considerations emerged: accountabilities of external supervisor, supervisee and internal supervisor towards collaborative practice, evaluation and feedback; purchasing of external supervision; and the professional development of external supervisors. Further education connecting the importance of the supervisory relationship to realise critical thinking and practice development is essential for the future of social work.


2021 ◽  
Vol 28 (1) ◽  
pp. 257-271
Author(s):  
Ada Filipaj ◽  
Marko Buljevac

PROVIDING SOCIAL SERVICES TO CHILDREN WITH DEVELOPMENTAL DISABILITIES: THE ROLE OF A SOCIAL WORKER EMPLOYED IN A SOCIAL WELFARE INSTITUTION The aim of this paper is to present social worker’s job in social facility for children with developmental disabilities. The work of a social worker is described through its parts: work with users, work with user’s families, cooperation with various formal support providers, counselling, and finally social worker as a member of the professional team. These parts of the work are described and problematized. In the last part of this paper, the most common problems faced by social worker in his daily work are problematized. Key words: social work with families of children with developmental disabilities; social work in social facilities; social worker job description


2011 ◽  
Vol 54 (3) ◽  
pp. 344-360 ◽  
Author(s):  
Liam Foster

Poverty is encountered by the majority of users of social services but is often overlooked in social work practice. This article explores the relationship between poverty in older age, pension receipt and the role of social policy formulation in the UK with particular reference to New Labour governance. It also briefly explores the EU context before considering the implications for social work.


AI & Society ◽  
2020 ◽  
Author(s):  
Nicolas Malevé

Abstract Computer vision aims to produce an understanding of digital image’s content and the generation or transformation of images through software. Today, a significant amount of computer vision algorithms rely on techniques of machine learning which require large amounts of data assembled in collections, or named data sets. To build these data sets a large population of precarious workers label and classify photographs around the clock at high speed. For computers to learn how to see, a scale articulates macro and micro dimensions: the millions of images culled from the internet with the few milliseconds given to the workers to perform a task for which they are paid a few cents. This paper engages in details with the production of this scale and the labour it relies on: its elaboration. This elaboration does not only require hands and retinas, it also crucially zes mobilises the photographic apparatus. To understand the specific character of the scale created by computer vision scientists, the paper compares it with a previous enterprise of scaling, Malraux’s Le Musée Imaginaire, where photography was used as a device to undo the boundaries of the museum’s collection and open it to an unlimited access to the world’s visual production. Drawing on Douglas Crimp’s argument that the “musée imaginaire”, a hyperbole of the museum, relied simultaneously on the active role of the photographic apparatus for its existence and on its negation, the paper identifies a similar problem in computer vision’s understanding of photography. The double dismissal of the role played by the workers and the agency of the photographic apparatus in the elaboration of computer vision foreground the inherent fragility of the edifice of machine vision and a necessary rethinking of its scale.


2002 ◽  
Vol 36 (01n02) ◽  
pp. 27-43 ◽  
Author(s):  
STEVE MORGAN ◽  
MALCOLM PAYNE

Two forms of managerialism are distinguished: generalist managerialism, that which affects the daily experience of social work practice and policy managerialism, that which affects the development of policy. The development of social work in Britain led social workers to adopt the role of bureau-professionals, mitigating the inflexibility of the bureaucratic provision of welfare in state social services. However, through case studies of local government social services and probation services, the impact on this conception of social work managerialism through its adoption by new Right governments during the 1980s and 90s is demonstrated. It is argued that distinguishing the impact of inflexibility in services through bureaucratisation from the impact of policy managerialism, the inclusion of a wide range of stakeholders and ensuring advocacy for the voices of service users and the community mitigates the effects of managerialist bureaucratisation. 作者认为管理主义普遍理论对社会工作日常运作的影响有别于管理主义理论应用于公共行政的范畴上。作者以英国的地区社会福利服务及感化工作的展为案例,指出社工专业需要对管理主义对不同服务的影响,先作检视,然后作出适当的回应。 总的来说, 社工可以联系著不同背景及业的人士,与服务使用者一起去倡导及争取他们的权益。 积极参与公共政策的厘订, 来减低管理主义对社工服务的不良影响。


Author(s):  
Scott P. Anstadt ◽  
Shannon Bradley ◽  
Ashley Burnette ◽  
Lesley L. Medley

<p>Due to the unique applications of virtual reality in many modern contexts, Second Life (SL) offers inimitable opportunities for research and exploration and experiential learning as part of a distance learning curriculum assignment. A review of current research regarding SL examined real world social influences in online interactions and what the effects on users may be. This aids students in understanding the social constructionist perceptions and worldview of those persons they may serve in social services. This suggests the importance of developing an understanding of the relationship between users’ real life (RL) and their SL. Some research has begun to reveal the effectiveness of telecommunication and computer simulation with certain clients in the fields of mental health and social work, yet there is a lack of sufficient research done within the context of virtual worlds. The current study surveyed users of several educationally and health focused SIMS (simulations) as to what motivates their SL and RL interactions. The data explores associations between users’ RL and their SL in several areas,potentially addressing the future role of educating social work students regarding research methodology in online virtual reality interactions. Implications for social work are discussed including engaging clients using incentives for social participation built into the SL milieu.</p>


2021 ◽  
Vol 7 ◽  
pp. e414
Author(s):  
Shilan S. Hameed ◽  
Wan Haslina Hassan ◽  
Liza Abdul Latiff ◽  
Fahad Ghabban

Background The Internet of Medical Things (IoMTs) is gradually replacing the traditional healthcare system. However, little attention has been paid to their security requirements in the development of the IoMT devices and systems. One of the main reasons can be the difficulty of tuning conventional security solutions to the IoMT system. Machine Learning (ML) has been successfully employed in the attack detection and mitigation process. Advanced ML technique can also be a promising approach to address the existing and anticipated IoMT security and privacy issues. However, because of the existing challenges of IoMT system, it is imperative to know how these techniques can be effectively utilized to meet the security and privacy requirements without affecting the IoMT systems quality, services, and device’s lifespan. Methodology This article is devoted to perform a Systematic Literature Review (SLR) on the security and privacy issues of IoMT and their solutions by ML techniques. The recent research papers disseminated between 2010 and 2020 are selected from multiple databases and a standardized SLR method is conducted. A total of 153 papers were reviewed and a critical analysis was conducted on the selected papers. Furthermore, this review study attempts to highlight the limitation of the current methods and aims to find possible solutions to them. Thus, a detailed analysis was carried out on the selected papers through focusing on their methods, advantages, limitations, the utilized tools, and data. Results It was observed that ML techniques have been significantly deployed for device and network layer security. Most of the current studies improved traditional metrics while ignored performance complexity metrics in their evaluations. Their studies environments and utilized data barely represent IoMT system. Therefore, conventional ML techniques may fail if metrics such as resource complexity and power usage are not considered.


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