When Machine Learning Meets Policy: Why AI Strategy Needs Interdisciplinary Thinking
Artificial intelligence is often discussed in extremes: either as a purely technical challenge to be solved by better models, or as a societal risk to be managed through regulation and ethics frameworks. In practice, however, AI lives in the space between these two worlds. Over the past several years, my work has focused on exactly that intersection, where machine learning meets policy, institutions, and governance, and on what we gain when we stop treating them as separate domains. My...
