SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Artificial Intelligence-Assisted Case Management in Social Work Services: A Systematic Review
16 references·0 citing·53 second hop
Artificial Intelligence-Assisted Case Management in Social Work Services: A Systematic Review (2025)Artificial Intelligence-Assisted Case Man…Can Generative AI improve social science? (2024)Can Generative AI improve soc…AI for social science and social science of AI: A survey (2024)AI for social science and soc…How AI can distort human beliefs (2023)How AI can distort human beli…Artificial Intelligence in Social Work: Emerging Ethical Issues (2023)Artificial Intelligence in So…AI and the transformation of social science research (2023)AI and the transformation of …Trustworthy Artificial Intelligence: A Review (2022)Trustworthy Artificial Intell…Ethical principles for artificial intelligence in education (2022)Ethical principles for artifi…Accountability in Artificial Intelligence: What It Is and How It Works (2022)Accountability in Artificial …Steering the governance of artificial intelligence: national strategies in perspective (2021)Steering the governance of ar…Framing governance for a contested emerging technology:insights from AI policy (2020)Framing governance for a cont…Social Work Is a Human Rights Profession (2019)Social Work Is a Human Rights…How Data Science Workers Work with Data (2019)How Data Science Workers Work…Can Predictive Algorithms Assist Decision‐Making in Social Work with Children and Families? (2019)Can Predictive Algorithms Ass…Predictive Risk Modelling to Prevent Child Maltreatment and Other Adverse Outcomes for Service Users: Inside the ‘Black Box’ of Machine Learning (2015)Predictive Risk Modelling to …Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Preferred Reporting Items for…Automated Decision Making Comes of Age (2005)Automated Decision Making Com…Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and Elaboration (2007)The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009)The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009)The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration (2009)Rayyan—a web and mobile app for systematic reviews (2016)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)The reflective practitioner: How professionals think in action (1984)The Reflective Practitioner: How Professionals Think in Action (1985)Constructing grounded theory (2014)Human-AI Collaboration in Data Science (2019)Overview and Importance of Data Quality for Machine Learning Tasks (2020)What's Wrong with Computational Notebooks? Pain Points, Needs, and Design Opportunities (2020)Unfaithful angels: how social work has abandoned its mission (1994)The Strengths Perspective in Social Work Practice: Extensions and Cautions (1996)Crimes against Humanity: The Struggle for Global Justice (2000)Measuring Rights-Based Practice: Introducing the Human Rights Methods in Social Work Scales (2019)Social Work as a Human Rights Profession: An Action Framework (2021)Considering a Unified Model of Artificial Intelligence Enhanced Social Work: A Systematic Review (2024)Learning from Abroad: The Role of Policy Transfer in Contemporary Policy‐Making (2000)AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations (2018)The global landscape of AI ethics guidelines (2019)Strategically constructed narratives on artificial intelligence: What stories are told in governmental artificial intelligence policies? (2022)What governs attitudes toward artificial intelligence adoption and governance? (2022)EU AI sovereignty: for whom, to what end, and to whose benefit? (2024)Networks: Between markets and hierarchies (1986)Institutional Logics (2008)The Global Governance of Artificial Intelligence: Next Steps for Empirical and Normative Research (2023)Governance of Generative AI (2025)Dissecting racial bias in an algorithm used to manage the health of populations (2019)A Survey on Bias and Fairness in Machine Learning (2021)Development and validation of the AI attitude scale (AIAS-4): a brief measure of general attitude toward artificial intelligence (2023)How to teach responsible AI in Higher Education: challenges and opportunities (2023)Developing an artificial intelligence literacy framework: Evaluation of a literacy course for senior secondary students using a project-based learning approach (2024)The "What" and "Why" of Goal Pursuits: Human Needs and the Self-Determination of Behavior (2000)Thematic analysis. (2012)Qualitative Research & Evaluation Methods: Integrating Theory and Practice (2014)A critical review of GenAI policies in higher education assessment: a call to reconsider the “originality” of students’ work (2024)Navigating the ethical terrain of AI in education: A systematic review on framing responsible human-centered AI practices (2024)Understanding students’ adoption of the ChatGPT chatbot in higher education: the role of anthropomorphism, trust, design novelty and institutional policy (2024)Level of automation effects on performance, situation awareness and workload in a dynamic control task (1999)Ethical Implications and Accountability of Algorithms (2018)Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI (2020)Managing the race to the moon: Global policy and governance in Artificial Intelligence regulation—A contemporary overview and an analysis of socioeconomic consequences (2024)The Era of Artificial Intelligence Deception: Unraveling the Complexities of False Realities and Emerging Threats of Misinformation (2024)Transparency and accountability in AI systems: safeguarding wellbeing in the age of algorithmic decision-making (2024)The Science of Wisdom in a Polarized World: Knowns and Unknowns (2020)Taxonomy of Risks posed by Language Models (2022)Which Humans? (2023)Durably reducing conspiracy beliefs through dialogues with AI (2024)Experimental evidence of massive-scale emotional contagion through social networks (2014)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Generative AI and human–robot interaction: implications and future agenda for business, society and ethics (2024)How large language models can reshape collective intelligence (2024)
this work references cited by second hop

References

  • 2009Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement37,549 cited
  • 2022Ethical principles for artificial intelligence in education1,218 cited
  • 2022Trustworthy Artificial Intelligence: A Review707 cited
  • 2022Accountability in Artificial Intelligence: What It Is and How It Works493 cited
  • 2023AI and the transformation of social science research372 cited
  • 2024Can Generative AI improve social science?367 cited
  • 2019How Data Science Workers Work with Data262 cited
  • 2021Steering the governance of artificial intelligence: national strategies in perspective251 cited
  • 2020Framing governance for a contested emerging technology:insights from AI policy244 cited
  • 2019Social Work Is a Human Rights Profession189 cited
  • 2023How AI can distort human beliefs151 cited
  • 2023Artificial Intelligence in Social Work: Emerging Ethical Issues146 cited
  • 2015Predictive Risk Modelling to Prevent Child Maltreatment and Other Adverse Outcomes for Service Users: Inside the ‘Black Box’ of Machine Learning133 cited
  • 2024AI for social science and social science of AI: A survey125 cited
  • 2005Automated Decision Making Comes of Age

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

122 cited
  • 2019Can Predictive Algorithms Assist Decision‐Making in Social Work with Children and Families?99 cited
  • Cited by

    No citing works inside the corpus for this window.