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What is Safety? Corporate Discourse, Power, and the Politics of Generative AI Safety
| USA | technology

What is Safety? Corporate Discourse, Power, and the Politics of Generative AI Safety

#Generative AI #AI Safety #Critical Discourse Analysis #Corporate Responsibility #arXiv #Technology Policy #Power Dynamics

📌 Key Takeaways

  • The study analyzes how major AI companies use public documents to define the meaning of 'safety' to suit their own interests.
  • Corporate discourse is being used to establish authority and legitimacy over AI ethics and technical governance.
  • The research warns that companies are framing safety in a way that prioritizes corporate control over external or democratic oversight.
  • Safety standards in generative AI are presented as technical problems to hide political and social power dynamics.

📖 Full Retelling

A group of academic researchers published a comprehensive study titled 'What is Safety? Corporate Discourse, Power, and the Politics of Generative AI Safety' on the arXiv preprint server on February 11, 2025, to investigate how major technology firms define and manipulate the concept of AI safety. By analyzing official corporate documents and public statements from leading generative artificial intelligence organizations, the study reveals how these companies use specific language to claim authority over the moral and technical boundaries of their products. The research aims to expose the underlying power dynamics that allow private corporations to dictate the standards of safety for the general public. Utilizing critical discourse analysis, the researchers examined a vast corpus of safety-related statements to identify recurring themes and communicative patterns. The study argues that tech giants are not merely describing safety as a technical metric but are actively performing a strategic exercise to consolidate their own legitimacy. By framing 'safety' through a corporate lens, these organizations effectively position themselves as the sole arbiters of what is socially acceptable and technically secure, often at the expense of independent oversight or diverse public input. Furthermore, the publication highlights how these discursive strategies serve to normalize corporate-led safety as the industry standard. This normalization process often obscures deep-seated political and ethical conflicts by rebranding them as manageable technical challenges. The authors suggest that by controlling the narrative around AI risks, companies can preemptively neutralize criticism and avoid more stringent regulatory frameworks. This academic intervention calls for a more critical approach to how the public and policymakers interpret the safety promises made by the developers of generative AI systems.

🏷️ Themes

Artificial Intelligence, Corporate Governance, Ethics

📚 Related People & Topics

Critical discourse analysis

Interdisciplinary approach to study discourse

Critical discourse analysis (CDA) is an approach to the study of discourse that views language as a form of social practice. CDA combines critique of discourse with an explanation of how it figures in and contributes to the existing social reality, as a basis for action to change the social reality ...

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Generative artificial intelligence

Generative artificial intelligence

Subset of AI using generative models

# Generative Artificial Intelligence (GenAI) **Generative artificial intelligence** (also referred to as **generative AI** or **GenAI**) is a specialized subfield of artificial intelligence focused on the creation of original content. Utilizing advanced generative models, these systems are capable ...

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📄 Original Source Content
arXiv:2602.06981v1 Announce Type: cross Abstract: This work examines how leading generative artificial intelligence companies construct and communicate the concept of "safety" through public-facing documents. Drawing on critical discourse analysis, we analyze a corpus of corporate safety-related statements to explicate how authority, responsibility, and legitimacy are discursively established. These discursive strategies consolidate legitimacy for corporate actors, normalize safety as an experi

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