AI-Generated Text Sparks Arms Race in Detection and Response

The rise of AI-generated text has sparked an arms race in detection and response across various sectors. Institutions such as literary magazines, newspapers, academic journals, and courts are being overwhelmed by AI-generated submissions, comments, and filings. This influx of AI-generated content is challenging existing systems that relied on the difficulty of writing and cognition to limit volume. In response, many institutions are adopting AI-driven tools to detect and moderate AI-generated content. Academic peer reviewers are using AI to evaluate papers, social media platforms are turning to AI moderators, and court systems are using AI to triage litigation volumes. Employers are also using AI tools to review candidate applications, and educators are using AI for grading, feedback, and exam administration. While some of these arms races have deleterious effects, such as clogging courts with frivolous cases and undermining academic performance measures, they also have potential upsides. AI can democratize access to writing assistance, improve efficiency in various sectors, and help maintain the integrity of institutions by filtering out fraudulent content. However, there is a risk that the arms race between AI generation and detection could lead to a decline in the quality of information and erode trust in institutions.

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