Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Exploring Perspectives on the Impact of Artificial Intelligence on the Creativity of Knowledge Work: Beyond Mechanised Plagiarism and Stochastic Parrots
37
Zitationen
1
Autoren
2023
Jahr
Abstract
Artificial Intelligence (AI), and in particular generative models, are transformative tools for knowledge work. They problematise notions of creativity, originality, plagiarism, the attribution of credit, and copyright ownership. Critics of generative models emphasise the reliance on large amounts of training data, and view the output of these models as no more than randomised plagiarism, remix, or collage of the source data. On these grounds many have argued for stronger regulations on the deployment, use, and attribution of the output of these models.
Ähnliche Arbeiten
The global landscape of AI ethics guidelines
2019 · 4.482 Zit.
The Limitations of Deep Learning in Adversarial Settings
2016 · 3.853 Zit.
Trust in Automation: Designing for Appropriate Reliance
2004 · 3.362 Zit.
Fairness through awareness
2012 · 3.258 Zit.
Mind over Machine: The Power of Human Intuition and Expertise in the Era of the Computer
1987 · 3.182 Zit.