Physics and the machine-learning “black box”
In 2.C01, George Barbastathis demonstrates how mechanical engineers can use their knowledge of physical systems to keep algorithms in check and develop more accurate predictions.
In 2.C01, George Barbastathis demonstrates how mechanical engineers can use their knowledge of physical systems to keep algorithms in check and develop more accurate predictions.
PhD student's research centers on ethics, including bioethics, and the philosophy of action.
Probabilistic programming language allows for fast, error-free answers to hard AI problems, including fairness.
Advancing the study and practice of thinking responsibly in computing education, research, and implementation.
Panel explores the complexities of Asian American identity and recognition, at the Institute and in higher education.
Responsible AI for Social Empowerment and Education (RAISE) seeks to empower more people to participate in, and benefit from, AI.
Black women are more vulnerable than white men, illustrating how race and gender intersect to shape health outcomes.
Future of Data, Trust, and Privacy initiative aims to address AI-driven analytics and changing attitudes about personal data.
Regina Barzilay, Fotini Christia, and Collin Stultz describe how artificial intelligence and machine learning can support fairness, personalization, and inclusiveness in health care.
Study: On social media, most people do care about accurate news but need reminders not to spread misinformation.
New tracks for innovation address antiracist technology in the US, digital inclusion, equitable classrooms, health security and pandemics, and resilient ecosystems.
New case studies series examines social, ethical, and policy challenges of present-day computing activities.
MIT economist works to show how therapies can be allocated fairly; states are now applying the method in their efforts.
Convened by the MIT Schwarzman College of Computing, the AI Policy Forum will develop frameworks and tools for governments and companies to implement concrete policies.
The award supports promising PhD candidates or postdocs conducting interdisciplinary research on the societal and ethical dimensions of computing.