Technology in Social Work
Technology is not free of value and is NOT how we use it that matters. Neither do I think that technology is the driving force for change (Chung 2024). TECH/technology is a sociotechnical ensemble.
I tell my social work students to be like a rubber band in their use of technology: Stretch “rules” or “conventions” to fit new contexts. But maintain your integrity! If the band breaks, it may not be a bad thing. Maybe we have to consider new rules or standards!
We do not want to “move fast and break things” (Taplin 2017). We should not think AI can solve all the problems (Tiah 2024) . We want to move thoughtfully and fix things.
Focal activities are those that technology can do for us but we choose to do anyway because it affords the kind of life we value or professional fulfilment!
We encounter AIs, technologies, and machines that we do not understand and yet we have to engage with them. We have to learn when to trust, when to doubt, and when trust turns to mistrust. Engaging with professional guidelines or standards can help to grapple with the complexity and ambiguity of working with AI blackboxes.
Standards for Using Technology and AI in Social Work. Revise the code of social work ethics to consider (1) standards for technology in social work practice and (2) a fifth responsibility: Social workers’ responsibility to ethical and professional AI-Human interaction**
- Add a fifth responsibility: “Social workers’ responsibility to ethical and professional AI-Human interaction”
- Translating values which are abstract into standards or practical ways to use technology can better guide responsible and ethical use.
- The code of Professional ethics for social work profession in Singapore, 3rd revision (here) placed “Electronic Technology” Figure 1 in “Professional boundaries with clients” within section “A. Social Workers’ Ethical Responsibility to clients”.
- This is appropriate considering the centrality of the practitioner-client relationship within the core value “Importance of Human Relationships” in the social work profession (Core value 6 “Importance of Human Relationships” in the SG Code; see also Reamer (2018)).
- The ways in which social workers use technology in social work have created new ways to interact and communicate with client. This in turn has bring into focus questions about the social work-client relationship.
- In addition, technology also has change various fronts of our profession that do not involve direct interactions with client, including the design and delivery of services, management of data, agency processes, how social workers’ relate with colleagues and supervisors, and promoting of services.
- Social workers who use technology to provide supervision. Do these tools meet the learning need of the supervisees?
- SSAs maintain websites and social media accounts that provide information to the public. Are there steps to ensure that the information is accurate, up-to-date, and valid? Are there propoer acknowledgements of the information or work of others?
- Social workers increasingly use technology to communicate with colleagues either to get information for service referrals, or to understand colleagues’ practices and policies. Do we check if the info is accurate? Do we acknowledge the work and contributions made by other colleagues? Can we use technology to search personal information about colleagues?
- How do we evaluate technology (e.g., predictive risk models)? What are the metrics we should use to evaluate the system? AI-in-the-loop feedback systems can be use to support social workers’ skills (e.g., Sharma et al. (2023)), how do we check if these systems are useful?
- Thinking deeper about technology and our ethical responsibilities to clients as well as towards colleagues, practice, profession, and society can help us be in a clearer position in our use of technology.
Quality standards relates AI to their broader social context. But we still have to work within the AI system. How can we have meaningful interactions with AI?
Evaluative judgement, emotional reflexivity, and epistemic doubt.
Identify key competencies. Identify key competencies to be considered for social work education and continuing education regarding technology in social work practice**
Social work competencies include “core knowledge, values, and skills in working .. in an area of particular practice … [as well as] competence from one situation to another irrespective of case, need, problem, or context” (as cited by McInroy 2021, 546)
McInroy (2021) identified five competencies of using ICT which can still be relevant to current tech:
- Continuing engagement with technologies
- Online professionalism
- Assessing risks and opportunities
- Applying professional ethics
- Thoughtful integration of technology into practice contexts
Other competencies need to be considered in the age of gen AI:
Data literacy and Computational reasoning. If we encourage workers to apply computational tools to solve complex problems or improve social work processes, we also need to help them develop the “ability to critically self-evaluate the way they apply these tools, and thus be able to reason effectively in a variety of contexts”.
Interdisciplinary tech collaborations (Storer et al. 2023)
Key Areas of Inquiry
What are the key areas I am interested to explore in my research on techSW:
Develop the science
Design and develop the interventions that can harness the power of technology
One crucial question is how do we evaluate AI interventions? Work in this area, mostly with healthcare interventions, have found inadequate information reported by trials and missing critical information (e.g., what version of the algorithm was used? how were the training/test data selected? what was the interactions between AI and human?). See Ibrahim et al. (2021).
Process and outcome evaluation are crucial in understanding the effects of using these interventions. Bibbs et al. (2023) highlighted the need for social work users of technology to “engage in continuous and rapid ethical monitoring” as well as “..duty bound to proactively consider unintended consequences”(p. 141).
Practitioners-AI/TECH Interactions
- What is the impact of AI on practice? How can workers shape its use?
- One key concern is the role of clinical supervision in keeping account of workers’ quality of work and practice. How would CS influence workers’ use of AI?
Current/Upcoming Work
- Evaluating the use of SCRIBE tool in the community
- Survey to understand worker-AI agents collaboration
- Developing standards and ethics in the use of AI/TECH in the sector
Interested to work together?
I am just one person. Help, ideas, collaborations are always welcome. I welcome students who are interested to do research in these areas for their dissertations/ISMs/summer jobs. Practitioners in social service agencies and you want to explore more? We can talk over a coffee!