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Journal of Computational Social Dynamics

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Published

2023-09-26

Issue

Vol. 8 No. 9 (2023): Journal of Computational Social Dynamics-September-2023

Section

Articles

How to Cite

Fernando, N., & Ranasinghe, P. (2023). Integration of Artificial Intelligence in Social Work: Opportunities, Challenges, and Considerations. Journal of Computational Social Dynamics, 8(9), 13–24. Retrieved from https://vectoral.org/index.php/JCSD/article/view/35

Integration of Artificial Intelligence in Social Work: Opportunities, Challenges, and Considerations

Nalini Fernando

University of Ruhuna, Lihiniyawatte, Hambantota, Sri Lanka.

Padmini Ranasinghe

Wayamba University of Sri Lanka, Kurunegala Campus, Rural Education Kuliyapitiya Road, Kurunegala, Sri Lanka.

Keywords: Artificial Intelligence, Challenges, Opportunities, Social Work, Integration

Abstract

The integration of artificial intelligence (AI) into social work is opening new avenues for improving both efficiency and effectiveness. AI technologies offer various benefits, including enhanced data analysis for predictive modeling, administrative automation via chatbots and virtual assistants, optimized resource allocation through machine learning, and innovative therapeutic interventions using Virtual Reality (VR) and Augmented Reality (AR). For example, predictive analytics could identify children at risk for abuse, while AI-driven chatbots can provide immediate responses to individuals in crisis situations. However, the fusion of AI and social work also presents a set of challenges that cannot be ignored. Ethical issues concerning privacy and data security are at the forefront, as well as the potential for algorithmic biases that could perpetuate systemic discrimination. Additionally, the reliance on automated systems risks the loss of the critical human touch that is fundamental to social work, while also raising concerns about job displacement in administrative areas. Accuracy and cost are further barriers; improperly trained or implemented AI could result in erroneous decision-making, and the financial investment required for AI systems may be prohibitive for smaller organizations. To successfully integrate AI into social work, several considerations are vital. These include specialized training for social workers to navigate AI tools, fostering a collaborative relationship between human expertise and AI capabilities, instituting stringent oversight and regulations to ensure ethical use, and establishing feedback mechanisms for continual refinement of these technologies. The promise of AI in enhancing social work practices is significant, but a careful and informed approach is essential for harnessing its full potential while mitigating associated risks.

Author Biography

Padmini Ranasinghe, Wayamba University of Sri Lanka, Kurunegala Campus, Rural Education Kuliyapitiya Road, Kurunegala, Sri Lanka.

 

 

Current Issue

Information

Submission Guidelines for the Journal of Computational Social Dynamics General Guidelines:

  1. Article Types: We accept a variety of article types including Original Research Articles, Review Papers, Short Reports, and Opinion Pieces.

  2. Language: Manuscripts must be written in English, and should be clear, concise, and free of jargon.

  3. Length: There is no strict word limit, but Original Research Articles should generally be between 4,000 and 10,000 words, including references.

  4. Formatting: Manuscripts should be submitted as a single Word or LaTeX document, formatted in double-spaced 12-point font.

  5. Abstract: An abstract of 250-300 words is required for all submissions, summarizing the key objectives, methods, findings, and implications of the research.

Manuscript Structure:

  • Title Page: Must include the title, author names, affiliations, and contact information for the corresponding author.

  • Introduction: Provide background, state the problem, and outline objectives.

  • Methods: Detail the methods and tools used in your research.

  • Results: Present the findings of your study.

  • Discussion: Interpret results, discuss their impact, and suggest future research directions.

  • Conclusion: Summarize the main points of the paper.

  • References: Citations should be formatted according to the APA/IEEE styles.

Ethical Guidelines:

Authors must ensure that their research adheres to ethical standards and that informed consent has been obtained for any human or animal subjects involved.

Plagiarism:

The Journal of Computational Social Dynamics uses plagiarism detection software. Any manuscript found to include plagiarized content will be rejected.

Peer Review Process:

All submissions undergo a double-blind peer review process. Authors can expect initial feedback within six to eight weeks.

Submission Process:
  1. Prepare your manuscript according to the guidelines.
  2. Submit your manuscript through our online portal at.
  3. After submission, you will receive a confirmation email with a manuscript ID for tracking purposes.
Revisions:

If revisions are requested, authors must resubmit the revised manuscript within the specified timeframe.

Publication Fees:

The journal has a nominal publication fee, waived for authors who lack funding. Details are available on our website.

For any questions or concerns, please contact the editorial office at editorial@vectoral.org. Thank you for considering the Journal of Computational Social Dynamics as a venue for your research.

Published by Vectoral Publishing, the Journal of Computational Social Dynamics maintains high standards in peer-review and scientific inquiry. Authors who wish to submit manuscripts should adhere to the guidelines detailed on our website, www.vectoral.org/jcsd. Vectoral Publishing does not bear any responsibility for the accuracy of information or for any outcomes related to the use of the research published. For editorial correspondence and submissions, please reach out to editorial@vectoral.org.