Bri Riggio

Trust and safety teams face constant pressure to do more with less, creating conditions ripe for what economists and social psychologists have termed the “scarcity mindset”. This workshop applies the scarcity mindset framework to trust and safety work, exploring how the perception of limited resources affects team behavior and decision-making. As resource constraints become the norm across the industry, mastering this framework will be essential for teams seeking to maintain effectiveness and mitigate burnout in an increasingly challenging landscape. In this interactive workshop, participants will:

• Learn to identify key scarcity behaviors (“tunneling”, “bargaining”, and “borrowing”) and how they show up in trust and safety contexts
• Understand how these behaviors, while often adaptive in the short term, reduce cognitive capacity and reinforce the “scarcity trap”
• Analyze real scenarios where scarcity thinking might be showing up in their own work environments through guided exercises and small group discussions
• • Develop personalized action plans for recognizing and mitigating scarcity patterns to foster greater creativity, resilience, and growth in their safety teams

As AI fundamentally reshapes trust and safety operations, policy professionals are also experiencing significant role transformations. The integration of LLMs into content

moderation is changing what it means to be a platform policy professional as the work evolves from traditional rulewriting into a hybrid discipline that bridges human judgment,

technical implementation, and AI collaboration. Drawing on real-world experience navigating these changes at Discord, we’ll share insights on both the day-to-day evolution of

policy roles and the leadership strategies needed to guide teams through this transition.

• How platform policy work is evolving from policy document creation to prompt engineering, model alignment, and continuous AI oversight
• How enforcement and policy teams collaborate differently in AI-first environments
• Preparing policy teams for hybrid roles that require both policy expertise and AI literacy
• Preserving human expertise while embracing the efficiency of AI-assisted enforcement