arXiv:2607.01776v1 Announce Type: cross Abstract: In the age of AI, what will be good knowledge? This article, which is accepted and forthcoming in a special issue of Modern Fiction Studies on "Cultural AI" in 2027, applies digital humanities methods to map epistemic virtues (like "true," "accurate," "creative") used in a corpus of 553 journal articles on AI published in 2024. "Creativity" comes in for special attention as an example. Exploring this discourse of value, the article considers how a framework might be developed for evaluating the knowledge-worth of AI -- one less locked into valu
The proliferation of AI systems necessitates a re-evaluation of 'good' knowledge and ethical frameworks, prompting contemporary academic exploration into AI's epistemic virtues, building on research from 2024.
A strategic reader should care about the development of frameworks for evaluating 'knowledge-worth' in AI, as it directly impacts trust, regulation, and the societal integration of AI, especially concerning attributes like creativity.
The explicit focus on mapping and defining epistemic virtues for AI, moving beyond mere functionality, introduces a new layer of qualitative assessment for AI development and deployment.
- · Ethicists and philosophers
- · Digital humanities researchers
- · AI governance bodies
- · Responsible AI developers
- · Unregulated AI developers
- · Purely commercial AI ventures ignoring ethics
- · Those resistant to ethical AI frameworks
Demand for ethical guidelines and 'virtuous' AI design principles will increase significantly.
New AI evaluation metrics beyond performance benchmarks will emerge, integrating concepts like 'creativity' and 'accuracy' within an ethical context.
Future AI development priorities and funding may shift towards systems demonstrably aligned with defined 'good knowledge' principles, potentially leading to 'ethical AI' as a market differentiator.
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Read at arXiv cs.AI