The promise and pitfalls of artificial intelligence explored at TEDxMIT event
MIT scientists discuss the future of AI with applications across many sectors, as a tool that can be both beneficial and harmful.
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.
3 Questions: Sophie Gibert on ethics in action
PhD student's research centers on ethics, including bioethics, and the philosophy of action.
Exact symbolic artificial intelligence for faster, better assessment of AI fairness
Probabilistic programming language allows for fast, error-free answers to hard AI problems, including fairness.
3 Questions: David Kaiser and Julie Shah on social and ethical responsibilities of computing
Advancing the study and practice of thinking responsibly in computing education, research, and implementation.
A searching discussion about being Asian American at MIT
Panel explores the complexities of Asian American identity and recognition, at the Institute and in higher education.
Helping students of all ages flourish in the era of artificial intelligence
Responsible AI for Social Empowerment and Education (RAISE) seeks to empower more people to participate in, and benefit from, AI.
Study: Sex differences in Covid-19 mortality vary across racial groups
Black women are more vulnerable than white men, illustrating how race and gender intersect to shape health outcomes.
MIT launches new data privacy-focused initiative
Future of Data, Trust, and Privacy initiative aims to address AI-driven analytics and changing attitudes about personal data.
3 Questions: Artificial intelligence for health care equity
Regina Barzilay, Fotini Christia, and Collin Stultz describe how artificial intelligence and machine learning can support fairness, personalization, and inclusiveness in health care.
A remedy for the spread of false news?
Study: On social media, most people do care about accurate news but need reminders not to spread misinformation.
MIT Solve announces 2021 global challenges
New tracks for innovation address antiracist technology in the US, digital inclusion, equitable classrooms, health security and pandemics, and resilient ecosystems.
Fostering ethical thinking in computing
New case studies series examines social, ethical, and policy challenges of present-day computing activities.
Building equity into vaccine distribution
MIT economist works to show how therapies can be allocated fairly; states are now applying the method in their efforts.
A global collaboration to move artificial intelligence principles to practice
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.