CYCLMay 13, 2023

Dual Use Concerns of Generative AI and Large Language Models

arXiv:2305.07882v228 citations
Originality Synthesis-oriented
AI Analysis

This addresses the need for better oversight and ethical considerations in AI development, particularly for policymakers and researchers, but it is incremental as it applies an existing framework to a new context.

The paper tackles the problem of potential misuse of generative AI and Large Language Models by proposing to adapt the Dual Use Research of Concern framework from life sciences to this domain, with the result being a set of specific recommendations for improved AI governance and increased societal awareness.

We suggest the implementation of the Dual Use Research of Concern (DURC) framework, originally designed for life sciences, to the domain of generative AI, with a specific focus on Large Language Models (LLMs). With its demonstrated advantages and drawbacks in biological research, we believe the DURC criteria can be effectively redefined for LLMs, potentially contributing to improved AI governance. Acknowledging the balance that must be struck when employing the DURC framework, we highlight its crucial political role in enhancing societal awareness of the impact of generative AI. As a final point, we offer a series of specific recommendations for applying the DURC approach to LLM research.

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