How AI is Transforming Software Engineering
Armando Solar-Lezama Professor, MIT Department of Electrical Engineering and Computer Science Associate Director and COO, MIT Computer Science & Artificial Intelligence Laboratory
AI is not just transforming industries—it’s revolutionizing software development. From AI-assisted coding to automated testing and lifecycle management, new tools are enhancing productivity, quality, and security. The speaker will explore the impact of AI-driven programming, the evolving role of software engineers, and the challenges of ensuring control, reliability, and trust in AI-generated code.
Marzyeh Ghassemi Associate Professor, MIT Department of Electrical Engineering and Computer Science (EECS) and Institute for Medical Engineering & Science (IMES)
Machine learning in health has made impressive progress in recent years, powered by an increasing availability of health-related data and high-capacity models. While many models in health now perform at, or above, humans in a range of tasks across the human lifespan, models also learn societal biases and may replicate or expand them. In this talk, Dr. Marzyeh Ghassemi will focus on the need for machine learning researchers and model developers to create robust models that can be ethically deployed in health settings, and beyond. Dr. Ghassemi's talk will span issues in data collection, outcome definition, algorithm development, and deployment considerations.
Optimizing Human-AI Interaction
Pattie Maes Germeshausen Professor and Professor of Media Technology, MIT Media Lab Head, Fluid Interfaces Research Group
AI Risk Mitigation: Students’ Perspectives from MIT FutureTech and the MIT AI Alignment Group
Audrey Lorvo Computer Science, Economics, and Data Science Major, MIT Social and Ethical Responsibilities of Computing (SERC) Scholar, MIT Schwarzman College of Computing
AI That Can Think, Reason and Discover
Markus J. Buehler Jerry McAfee Professor of Engineering, MIT Department of Civil and Environmental Engineering and MIT Department of Mechanical Engineering
Building Machines that Learn and Think with People
Vikash Mansinghka Principal Investigator, MIT Probabilistic Computing Project
AI and Society: Computational, Economic, and Legal Perspectives
Manish Raghavan Drew Houston (2005) Career Development Professor and Assistant Professor of Information Technology, MIT Sloan School of Management
Catarina Madeira Director, MIT Startup Exchange
Better Data, Better Forests Matt Carpenter Head of Product, Gaia AI
Unify. Automate. Amplify. Your AI-Powered Enterprise Fabric Mollie Breen Co-Founder & CEO, Perygee