History and the Current Generative Artificial Intelligence Policies and the Case for a Universal Disclosure Log

Area of Science:

• Scientific publishing
• Artificial Intelligence ethics
• Regulatory policy

Background:

• Rapid AI progress challenges effective regulation.
• Journal policies on AI disclosure lack consistency in reporting standards.
• Existing recommendations for AI transparency vary significantly.

Purpose of the Study:

• To analyze the evolution of journal and editorial policies on AI disclosure.
• To evaluate the GAMER statement and other recommendations for AI reporting.
• To propose a universal disclosure log as a standardized framework.

Main Methods:

• Mapping the historical development of journal policies regarding AI.
• Comparative analysis of existing AI disclosure recommendations.
• Assessment of the GAMER statement's practical implications.

Main Results:

• Identified a lack of standardized language and requirements for AI reporting in scientific journals.
• Highlighted the GAMER statement as a recent, practical step towards AI disclosure.
• Found that current recommendations are diverse and not universally adopted.

Conclusions:

• A universal disclosure log can establish a common minimum standard for AI reporting.
• This standardized log can be integrated with more specialized AI transparency frameworks.
• Implementing a universal log will enhance consistency and transparency in AI research publication.