  The "Writer's Integrity" framework introduces a paradigm shift in maintaining
the sanctity of human-generated text in the realms of academia, research, and
publishing. This innovative system circumvents the shortcomings of current AI
detection tools by monitoring the writing process, rather than the product,
capturing the distinct behavioral footprint of human authorship. Here, we offer
a comprehensive examination of the framework, its development, and empirical
results. We highlight its potential in revolutionizing the validation of human
intellectual work, emphasizing its role in upholding academic integrity and
intellectual property rights in the face of sophisticated AI models capable of
emulating human-like text. This paper also discusses the implementation
considerations, addressing potential user concerns regarding ease of use and
privacy, and outlines a business model for tech companies to monetize the
framework effectively. Through licensing, partnerships, and subscriptions,
companies can cater to universities, publishers, and independent writers,
ensuring the preservation of original thought and effort in written content.
This framework is open source and available here,
https://github.com/sanadv/Integrity.github.io
