Machine learning used responsibly.
Our vision is to develop a research community where machine learning is used to advance the social sciences in ways that are ethical, responsible, and equitable. We believe that machine learning can be a powerful tool for understanding complex social phenomena and improving people's lives, but only if it is used in ways that are sensitive to the needs and interests of all members of society, and does not further marginalize or discriminate against our most vulnerable populations.
Tailored uniquely to social sciences.
To realize this vision, we are committed to advancing the application and interpretation of state-of-the-art machine learning research that is tailored to the unique challenges of the social sciences. We invite researchers, practitioners, and stakeholders in academia, industry, and government to join us. Together, we can harness the power of machine learning to better understand a range of social phenomena, from the dynamics of student learning and motivation to the causes of health disparities.
Education, dissemination, partnership, and outreach.
At the same time, we recognize that machine learning can also be a source of bias and discrimination if not used responsibly. To this end, we are committed to promoting ethical and responsible use of machine learning in the social sciences through education, dissemination, partnership, and outreach. By training researchers and practitioners in the principles of responsible machine learning, we can ensure that the benefits of this technology are distributed equitably across society.
Creating a better world. Together.
Ultimately, our vision is to create a community of researchers and practitioners who are committed to using machine learning to create a better world. By working together, we can ensure that machine learning is used in ways that are sensitive to the needs and interests of all members of society, and that it helps us achieve our shared goal of understanding and improving the world around us.