Conceptio › Archive › PhilArchive
PhilArchive open access

Against AI ethics: challenging the conventional narratives

Afroogh, Saleh et al. · 2026
PhilArchive · Papers · 2026
Open Source ↗
philosophy
In this paper, we challenge the overreliance on conventional ethical frameworks commonly observed in current AI ethics literature. We begin by surveying the ethical concerns and frameworks that dominate this field. Following this, we categorize and critically review the existing objections to these traditional approaches in terms of conceptual challenges, professional and regulatory challenges, and challenges from practical implementation. Finally, we present three key arguments against conventional ethical frameworks, drawing upon the fact that they fail to preclude ethics washing, stifle innovation in ethical research, and the drastic changes brought about by AI technology in the ethical landscape.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 75050
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive