We need to study and anticipate the societal impacts of AI before they occur, and we have a dedicated team focusing on this.

We're interacting with AI systems for both economic and emotional tasks, which are shaping the way we think, write, and code.

One of our key focuses is studying the economic impacts of AI to determine if it will enable new capabilities and types of work, especially as the rise of automation means companies can achieve the same amount of labor with fewer employees, raising questions about the future of work.

As we gather more data and build a larger platform, we can create more granular and personalized evaluations of AI models.

We are using AI across the company, with every customer service ticket seen by AI first, which has improved response times and accuracy.

AI will help us overcome cognitive biases, allowing for better decision-making and a more accurate understanding of reality.

Inspecting metrics like adoption, engagement, and retention is essential to understand how users interact with an AI product and its effectiveness.

The stakes are high in investment research, with billions of dollars at risk, and we are committed to exceeding stakeholder expectations with our AI tool.

We aim to share our findings about AI usage to foster societal resilience and prepare for the transformative potential of this technology.