Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Introducing Generative Artificial Intelligence Into the MSW Curriculum: A Proposal for the 2029 Educational Policy and Accreditation Standards
26
Zitationen
5
Autoren
2024
Jahr
Abstract
The most recent Council on Social Work Education's Educational Policy and Accreditation Standards (EPAS) demands that social workers develop competence in the ethical and professional deployment of technology. Arguably, artificial intelligence has become a critical element in the technological landscape, most recently with the advent of Generative Artificial Intelligence (GenAI). Beginning in late 2022, there has been an explosion of interest in GenAI, along with a massive and ongoing rollout of GenAI tools for personal and professional use, such as ChatGPT. While GenAI will undoubtedly affect social work practice, scholars and ethicists have raised crucial concerns about GenAI, its potential abuses, and misuses, making it critical that social workers are trained in the proper usage of these technologies. Accordingly, we call here for a 10th competency to be added to the 2029 EPAS: Competency Ten: Social Workers demonstrate the knowledge, skills, and understanding to responsibly and effectively use Generative Artificial Intelligence tools. The current article discusses the recent developments in GenAI and offers social work educators guidance for including GenAI content in social work curricula to meet this proposed standard.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.239 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.095 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.463 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.428 Zit.