Kate Crawford

The data that powers AI is often a reflection of existing inequalities.

AI technologies are reshaping labor markets in profound ways.

We must question who benefits from AI and at what cost.

We should not treat AI as a magic solution to complex problems.

The globalization of AI poses challenges that require international cooperation.

Understanding AI requires not just technical literacy but also critical thinking.

Transparency in AI is essential for accountability and trust.

Understanding AI requires a multidisciplinary perspective.

AI's power lies in its ability to process vast amounts of data.

The future of AI will be shaped by the values we choose to prioritize.