Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Not Quite 'Ask a Librarian': AI on the Nature, Value, and Future of LIS
0
Zitationen
2
Autoren
2021
Jahr
Abstract
AI language models trained on Web data generate prose that reflects human knowledge and public sentiments, but can also contain novel insights and predictions. We asked the world's best language model, GPT-3, fifteen difficult questions about the nature, value, and future of library and information science (LIS), topics that receive perennial attention from LIS scholars. We present highlights from its 45 different responses, which range from platitudes and caricatures to interesting perspectives and worrisome visions of the future, thus providing an LIS-tailored demonstration of the current performance of AI language models. We also reflect on the viability of using AI to forecast or generate research ideas in this way today. Finally, we have shared the full response log online for readers to consider and evaluate for themselves.
Ähnliche Arbeiten
The global landscape of AI ethics guidelines
2019 · 4.772 Zit.
The Limitations of Deep Learning in Adversarial Settings
2016 · 3.893 Zit.
Trust in Automation: Designing for Appropriate Reliance
2004 · 3.539 Zit.
Fairness through awareness
2012 · 3.308 Zit.
AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations
2018 · 3.246 Zit.