Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
9. Artificial intelligence for good?
18
Zitationen
1
Autoren
2023
Jahr
Abstract
Artificial intelligence has long been gaining traction in higher education (HE), with accelerated growth in uptake and spread since the COVID-19 pandemic, including the 2023 rise of generative AI. While this piece acknowledges the groundbreaking changes currently wrought by generative AI technologies in HE, its focus on overarching principles and frameworks rather than with capturing the current rapidly-changing state of the tech industry. The chapter asks: does AI bring to HE the promised/assumed benefits to student support and learning or is it yet another symptom of HE’s massification, further complicated by justice and equity issues? Drawing on data justice and ethics of care scholarship, the chapter seeks to answer: (a) how can AI be used in HE for good, (b) how can this rapidly growing industry be regulated, and (c) what would a conceptual framework for data justice and fair usage of AI in HE look like?
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.687 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.591 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 8.114 Zit.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
2019 · 6.867 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.