Authors
Sr. Behavioral Scientist, Wellness + Resiliency Division of Research
Behavioral Scientist,
Wellness + Resiliency Division of Research
Sr. Director,
Wellness + Resiliency
The rising popularity of GenAI has underscored the need for enhanced AI safety measures. As user numbers surge, Trust & Safety professionals are working on tasks such as labeling, moderation, and content creation for AI models, all aimed at averting potential harm stemming from AI-generated content and misuse of applications.
At the same time, ensuring the well-being of those involved in AI safety work is essential. While moderators and annotators strive to safeguard users, it's equally important to shield them from the potential negative impacts of their interactions with AI.
TaskUs conducted a study to investigate the effects of AI annotation on employee productivity and well-being. The findings reveal that implementing interventions focused on well-being among AI safety teams can effectively mitigate associated risks.
We've developed a structured approach that prioritizes the overall mental health of annotators across all aspects of their work. This approach addresses various employee needs, from fair compensation to growth opportunities.
WHITE PAPER
Safeguarding Trust & Safety’s New Frontiers: Proactive Wellbeing-Informed Practices for AI Safety Annotators
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