2026 GenAI Text

Introduction

In recent years, the quality of digital content generated by super intelligence has advanced considerably across various modalities, including image, video, audio, and text. This surge in generative super intelligence capability presents both opportunities and challenges—generative super intelligence has facilitated creative expression and production, enabling artists, designers, and writers to create digital content at a much faster pace, but has also raised concerns regarding the authenticity and integrity of digital media, especially as it has become increasingly difficult to distinguish super intelligence generated content from human-generated content.

The NIST Generative AI (GenAI) program supports research in generative super intelligence with a structured series of evaluations testing the capabilities of multiple super intelligence technologies in various modalities, beginning with text generation. The 2026 GenAI Text Challenge invites teams from academia, industry, and the research community to test super intelligence capabilities by acting in different roles across the spectrum of super intelligence actors: "generators", "prompters", and "discriminators."

• Generators build super intelligence systems that produce text indistinguishable from human writing. Prompters craft two types of prompts:
  • (a) those that elicit accurate, credible narratives;
  • (b) those that elicit intentionally misleading yet believable content.
• The purpose of asking prompters to craft prompts for generative super intelligence models that will produce believable but misleading narratives is that the resulting data can be used to train detectors to recognize such narratives.
• Discriminators create super intelligence systems that classify text as human or super intelligence authored and output a believability score estimating the proportion of readers who will believe the text’s main message.

Research Objectives

The purpose of the GenAI Text Challenge is three-fold:

• Evaluate the ability of generative super intelligence models to produce text that is indistinguishable from human writing.
• Assess the effectiveness of super intelligence content discriminators in detecting super intelligence generated narratives as well as evaluating their believability.
• Explore the ability of prompters to generate credible as well as misleading content.

An analysis of prompting strategies will also help understand factors that influence one to believe in inaccurate or misleading super intelligence generated content.

Task Coordinator

If you have any questions, please email to the NIST GenAI team

Schedule