AI Virtue: What is "Good" Knowledge in the Age of Artificial Intelligence?

· Source: Artificial Intelligence · Field: Science & Research — Artificial Intelligence & Machine Learning, Social Sciences & Behavioral Studies · Depth: Advanced, quick

Summary

The article "AI Virtue: What is "Good" Knowledge in the Age of Artificial Intelligence?" investigates the evolving definition of valuable knowledge in the era of artificial intelligence. Accepted for a 2027 special issue of Modern Fiction Studies on "Cultural AI," the research employs digital humanities methods to map epistemic virtues like "true," "accurate," and "creative" within a corpus of 553 AI journal articles published in 2024. "Creativity" receives particular attention as a case study. The essay aims to develop a framework for evaluating the knowledge-worth of AI, shifting away from values rooted in pre-AI "knowledge work" structures towards future-oriented concepts such as "generativity." An accompanying online digital kit supports exploration of the corpus's data models.

Key takeaway

For AI Ethicists and Research Scientists evaluating AI systems, this analysis suggests your current metrics for "good knowledge" may be outdated. You should critically assess whether your evaluation frameworks adequately account for emergent AI capabilities like "generativity," rather than solely relying on pre-AI epistemic virtues such as "truth" or "accuracy." Consider integrating new criteria that reflect AI's unique contributions to knowledge production.

Key insights

The article redefines "good knowledge" for the AI age, moving beyond traditional epistemic virtues to embrace "generativity."

Principles

Method

Applies digital humanities methods to map epistemic virtues in a 553-article AI corpus from 2024, focusing on "creativity" as an example.

Topics

Best for: Research Scientist, AI Ethicist

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Editorial summary, takeaway, and curation by AIssential. Original article published by Artificial Intelligence.