AI and the Disruption of Welfare (eBook, PDF)

Challenges for Social Work Education and Practice
Redaktion: Ottmann, Goetz; Noble, Carolyn

• Format: PDF

Produktbeschreibung

This book with 22 chapters from eminent scholars focuses on the role of AI-enabled technology in surveillance and coercive 'welfare', bringing into view how advanced technology is used to shift the boundaries between welfare, penal, and carceral state and its very real impact on social work education and practice.

It focuses on the way emerging digital technologies, often combined under the heading Artificial Intelligence (AI), are fundamentally changing our lifeworld and the social and economic divisions within it. These technologies, which dominate every aspect of our lives, harbour tremendous emancipatory potential. However, they also create a digital infrastructure that can and has been used as a new instrument of oppression. Contributors to this book seek to uncover and understand how new digital technologies are used in ways that lead to new vulnerabilities and oppressive outcomes that affect the welfare state, social workers, and their clients. Contributors to this book are located across the globe in countries with vastly different welfare regimes that bring into view not only considerable limitations but also a breadth of possibilities for emancipatory social work.

It will be of interest to all scholars, students, and professionals working in social work and social community services.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 328
• Erscheinungstermin: 8. Dezember 2025
• Englisch
• ISBN-13: 9781040451274
• Artikelnr.: 76006232

Autorenporträt

Goetz Ottmann, PhD, is a senior lecturer at Federation University, Melbourne. He is the author of five books, numerous book chapters, and many reports and peer-reviewed journal articles. Carolyn Noble, PhD, is a Professor Emerita at ACAP, Sydney, Victoria University, Melbourne, Australia. She is the author of several books and many book chapters and peer-reviewed articles.

Inhaltsangabe

1.AI and the disruption of welfare: Introduction. 2.Managerialism on
Steroids: The rise of Artificial Intelligence. 3.The rise of the digitally
enabled Carceral State and impact on social work. 4.A critical reflection
on the changing capacity of surveillance in digitally mediated welfare
services. 5.Automated algorithmic governance in the human services.
6.Automated algorithms, epistemological shifts, and the erosion of
fundamental legal and ethical principles in the social services. 7."Even if
Elon Musk was a social worker...": Coercive past and technological futures
in social work in Lithuania, UK and Spain. 8.Ghost in the cell? Artificial
Intelligence in prisoners' rehabilitation: Automation vs. individuality?
9.Data justice: The rise of a movement? 10.Critical responses to the
impacts of generative Artificial Intelligence and Machine Learning on
social work education and practice. 11.Resisting the enchantment of LLMs:
Ethical implications for social work practice, research, and education - a
case study. 12.AI, embedded biases, ethical challenges, and feminist
counter discourse. 13.Decolonising Artificial Intelligence (AI) in higher
education: A social work perspective. 14.Navigating ethical challenges in
AI-enhanced Virtual Reality for social work education. 15.Co-designing
culturally responsive simulation based learning: AI, First Peoples'
knowledges, and the implications for social work field education. 16.The
digital dimension of Violence Against Women: Conceptualising and
integrating Technology-Facilitated Abuse (TFA) in social work education.
17.The challenges and impacts of digital intimate partner violence for
social work. 18.Bridging the digital divide through developmental social
work. 19.Digital vulnerability, Artificial Intelligence and coercive
practices: Contributions from digital social work. 20.Social work/AI
entanglements: Educating for a critical relationship-based ethics in social
work. 21.Preparing social workers to resist coercive AI through social work
education. 22.Social work education and Artificial Intelligence:
Opportunities, challenges, and dilemmas.