UX designers and researchers can harness AI tools like ChatGPT to streamline participant recruitment for user testing. By inputting project goals and user demographics, ChatGPT can recommend a diverse and relevant group of participants. For example, it might suggest recruiting users based on age, tech proficiency, or specific needs, ensuring a representative sample.

Benefits include:

• AI quickly processes large data sets, identifying ideal participant profiles faster than manual methods.
• AI can help avoid unconscious bias, proposing a wide-ranging participant pool.

Risks include:

• AI recommendations are based on data and algorithms, and might not capture the full nuance of human behavior.
• AI's suggestions are only as good as the data fed into it. Inaccurate data can lead to poor recommendations.