Discover the key technical and societal considerations of AI deployment and acquire a systematic approach for responsible and effective implementation of AI solutions in your organization.
6 weeks,
excluding orientation
6–8 hours per week,
self-paced learning online
Weekly modules,
flexible learning
1
A proprietary, program-specific machine learning (ML) Deployment Framework that provides a systematic approach to examining artificial intelligence (AI)’s impact.
2
Technical and strategic guidance to redirect AI’s impact-trajectory to lead robust and sensible deployment for individuals, organizations, and society.
3
An understanding of the vulnerabilities of AI systems, as well as the steps to take to imbue these systems with robustness and privacy.
4
The skills to investigate the pitfalls of algorithmic decision-making to mitigate bias, inequity, and overconfidence.
Over the duration of this online short course, you’ll work through the following modules:
MODULE 1 Power and Limitations of Machine Learning
Learn about a systematic approach for identifying and accounting for the broad impacts of AI initiatives.
MODULE 2 Robustness and Privacy
Explore the vulnerabilities that can lead to AI system failure and the tools for protecting confidentiality and system integrity.
MODULE 3 Risks of Using Predictions for Decision-Making
Discover the challenges, considerations, and necessary adjustments for effective prediction-based algorithmic decision-making.
MODULE 4 Human-Technology Interaction
Discover how AI technology and human agents impact one another through signals and feedback loops.
MODULE 5 AI in Your Business
Learn about the ways firms can utilize AI to their advantage and choices organizations must make when forming their AI strategies, as well as the consequences of those decisions.
MODULE 6 AI’s Contribution to Inclusive Prosperity
Learn how AI shapes the world and strategic intervention can direct the trajectory toward benevolent outcomes.
Please note that module titles and their contents are subject to change during course development.
Aleksander Mądry
Cadence Design Systems Professor of Computing in the Electrical Engineering and Computer Science Department and Member of the Computer Science and Artificial Intelligence Lab (CSAIL), MIT
Mądry is the director of the MIT Center for Deployable Machine Learning and a faculty co-lead of the Schwarzman College of Computing AI Policy Forum. His research spans machine learning, optimization, and algorithmic graph theory. Mądry has a strong interest in building on existing machine learning techniques to create a decision-making toolkit that is reliable and understood enough to be safely and responsibly deployed in the real world.
Asu Ozdaglar
MathWorks Professor of Electrical Engineering and Computer Science and Member of the Laboratory for Information and Decision Systems (LIDS), MIT
Ozdaglar is the deputy dean of academics in MIT Schwarzman College of Computing and head of the MIT electrical engineering and computer science department. Her research expertise includes optimization theory and algorithms, machine learning, game theory, and network analysis with applications in social, economic, and financial networks. Ozdaglar’s research focuses on designing incentives and algorithms for data-driven online systems with many diverse human-machine participants.
Daron Acemoglu
MIT Institute Professor of Economics
Acemoglu is an Institute professor at MIT. One of the most-cited economists in recent decades, he is an expert on economic growth, political economy, and inequality. His recent research has focused on the implications of automation and AI on inequality, polarization, and democracy.
Simon Johnson
Ronald A. Kurtz (1954) Professor of Entrepreneurship, MIT Sloan
Johnson is an economist, author and U.S. federal adviser, and heads the Global Economics and Management group. He co-founded and currently leads the popular Global Entrepreneurship Lab, and teaches MIT’s Global Business of Artificial Intelligence and Robotics course.
This MIT Sloan and MIT Schwarzman College online short course is delivered in collaboration with online education provider GetSmarter. Join a growing community of global professionals, and benefit from the opportunity to:
Develop new competencies and earn valuable recognition from an international selection of universities and institutions, entirely online and on your own time frame.
Enjoy a personalized, people-mediated online learning experience created to make you feel supported at every step.
Experience a flexible but structured approach to online education as you plan your learning around your life to meet weekly milestones.