Position: Social Science Researcher, Senior Manager Department: Learning, Innovation, and Data Systems FLSA Status: Full-Time, Exempt Reports to: Director, Learning, Innovation and Data Systems Direct Reports: None Date Issued: October 2022 Date Revised: N/A Location: Washington, DC The Mission Polaris is leading a data-driven social justice movement to fight sex and labor trafficking at the massive scale of the problem – 25 million people worldwide deprived of the freedom to choose how they live and work. For more than a decade, Polaris has assisted thousands of victims and survivors through the U.S. National Human Trafficking Hotline, helped ensure countless traffickers were held accountable and built the largest known U.S. data set on actual trafficking experiences. With the guidance of survivors, we use that data to improve the way trafficking is identified, how victims and survivors are assisted, and how communities, businesses and governments can prevent human trafficking by transforming the underlying inequities and oppression that make it possible. The Learning, Innovation, and Data Systems team has the exciting task of utilizing research and data to inform and guide our approach to the fight against human trafficking with the ultimate end goal of eradicating the crime of modern-day slavery. About Opportunity The Social Science Researcher is a highly self-motivated, creative, and methodical professional.

We've written a paper arguing that long-term AI safety research needs social scientists to ensure AI alignment algorithms succeed when actual humans are involved. Properly aligning advanced AI systems with human values requires resolving many uncertainties related to the psychology of human rationality, emotion, and biases. The aim of this paper is to spark further collaboration between machine learning and social science researchers, and we plan to hire social scientists to work on this full time at OpenAI. The goal of long-term artificial intelligence (AI) safety is to ensure that advanced AI systems are aligned with human values -- that they reliably do things that people want them to do. At OpenAI we hope to achieve this by asking people questions about what they want, training machine learning (ML) models on this data, and optimizing AI systems to do well according to these learned models.