
Making AI Work: Machine Intelligence for Business and Society
MIT Sloan School of Management
The MIT Sloan School of Management, the business school of the Massachusetts Institute of Technology, was formally established in 1952, though its roots trace back to a 1914 engineering administration curriculum — reflecting MIT's conviction that management is, at its core, a rigorous discipline. Located in Cambridge, Massachusetts, it is a university-affiliated school embedded within one of the world's foremost research universities, and that proximity is not incidental — it defines Sloan's entire academic identity. The school operates on the principle that management education should be grounded in analytical frameworks and empirical evidence rather than anecdote, a philosophy that shapes everything from how courses are designed to how faculty are hired. Today, MIT Sloan remains one of a small number of schools where you will find economists, computer scientists, and organizational psychologists contributing directly to the same executive programs. ## Accreditations and Rankings **Accreditations:** - AACSB accredited - EQUIS accredited - AMBA accredited - *(Triple Crown accredited)* **Rankings:** - **Financial Times Global MBA Ranking:** #5 (2024) - **QS World University Rankings — Business & Management Studies:** #4 globally (2024) - **Bloomberg Businessweek MBA Ranking:** #6 (2023) - **Financial Times Executive Education Open Programs:** Consistently ranked in the global top 10 ## Executive Education at a Glance MIT Sloan Executive Education is one of the most programmatically diverse offerings in the world, running more than 90 open enrollment programs annually alongside a substantial custom programs portfolio serving organisations ranging from sovereign wealth funds to global technology companies. The school is particularly known for executive education in areas where management intersects with technology: artificial intelligence strategy, digital transformation, sustainability, system dynamics, and financial innovation. Program formats span intensive on-campus residentials in Cambridge, fully online programs through the MIT Sloan online platform, and blended formats — with durations ranging from two-day intensives to multi-month certificate tracks. Flagship programs include the *Artificial Intelligence: Implications for Business Strategy* program, the *Executive Program in General Management*, and the *System Dynamics for Business Policy* course — the last a direct product of MIT's legendary System Dynamics Group, founded by Jay Forrester. Open program fees typically range from approximately $3,500 for shorter courses to over $15,000 for extended programs, with some certificate programs carrying additional costs. ## Campus and Facilities MIT Sloan's primary executive education activities are anchored in the MIT campus in Cambridge, Massachusetts — a dense, walkable research environment where a five-minute walk can take you past robotics labs, quantum computing centres, and media innovation studios. The main Sloan building, E62, opened in 2010 and was designed by Fumihiko Maki to house a genuinely collaborative environment, with tiered classrooms, informal meeting spaces, and direct sightlines between floors that are intended to produce accidental conversations. For executive participants, Cambridge itself functions as a live case study: the Route 128 technology corridor, the Kendall Square biotech cluster, and the broader Boston ecosystem mean that site visits, alumni dinners, and industry panels are woven directly into the program experience. There are few cities in the world where a conversation at dinner is as likely to involve a Nobel laureate or a first-time founder. ## Faculty and Research MIT Sloan's faculty of roughly 150 senior professors spans economics, finance, operations, organisational behaviour, and — unusually for a business school — deep technical disciplines in data science and systems engineering. The school houses several research centres of direct relevance to executive participants: the MIT Initiative on the Digital Economy (IDE), the Sloan Finance Group, the MIT Leadership Center, and the Center for Information Systems Research (CISR), which has produced some of the most-cited work on digital business models and IT governance. Faculty members like Daron Acemoglu (economics of technology and inequality), Erik Brynjolfsson (digital economy), and Deborah Ancona (distributed leadership) publish work that regularly reshapes boardroom conversations — and they teach in executive programs. The school's explicit expectation is that faculty bring their active research agenda into the classroom, not a polished summary of someone else's. ## Student Body, Alumni, and Career Outcomes Executive education cohorts at MIT Sloan are notably international, typically drawing participants from more than 40 countries across a single program run, with strong representation from North America, Asia-Pacific, and the Middle East. The broader MIT Sloan alumni network numbers over 90,000 graduates across more than 90 countries, with particularly heavy concentrations in technology, financial services, consulting, and advanced manufacturing. Notable alumni include Kofi Annan (former UN Secretary-General), Benjamin Netanyahu (former Israeli Prime Minister and Sloan Fellow), Carly Fiorina (former CEO, Hewlett-Packard), and John Reed (former CEO, Citicorp) — a list that reflects the school's historical pull among both private sector leaders and public sector figures. For executive education participants, outcomes tend to be measured less in placement statistics and more in organisational impact: MIT Sloan's post-program research suggests that custom clients report measurable changes in strategic decision-making processes within 12 months of program completion.
Available Cohorts
Choose your preferred start date
All-inclusive program fee
Duration
7 weeks
Format
online
Topic
Data & AI
Language
English
About This Program
Artificial intelligence (AI) is a powerful tool, capable of improving decision-making in industries as diverse as health care, law, security, criminal justice, and social media. However, AI and machine learning (ML) cannot be separated from their human or societal context and the technology is often unable to transcend human bias, mistakes, adversaries, and behavior. In addition, AI technologies create a range of unintended social and economic consequences, from polarization and spread of misinformation to inequality and joblessness. A holistic approach to AI and its individual, organizational, and societal implications is necessary to understand how to best use and regulate this new technology for the good of all.
The Making AI Work: Machine Intelligence for Business and Society online short course from the MIT Sloan School of Management and the MIT Schwarzman College of Computing helps you to navigate this complex landscape. Over six weeks, you’ll explore the technical and strategic considerations for robust, beneficial, and responsible AI deployment. You’ll examine the various stages of a proprietary ML Deployment Framework and unlock new opportunities by investigating the key challenges and their related impact. Guided by leading experts and MIT academics, you’ll build a toolkit for addressing these challenges within your own organization and context.
Gain a practical framework: Use a proprietary MIT ML Deployment Framework to examine the impact of AI across its entire design pipeline.
Make a positive impact: Develop a strategy for AI implementation that’s effective, as well as safe and sensible for individuals, organizations, and society, based on strategic and technical guidance from experts.
Enhance AI Systems Performance: Understand the vulnerabilities of AI systems, and explore the steps necessary to imbue these systems with robustness and privacy.
Improve AI Decisions: Mitigate bias, inequity, and overconfidence by understanding and preparing for the common pitfalls of algorithmic decision-making.
Why MIT Sloan School of Management?
Your Profile
- This program is designed for those in leadership positions in both the private and public sector who need to think strategically about data, AI, and the broader impact of technology. Business leaders tasked with making decisions about the deployment of AI technologies will be empowered to guide their organizations toward effective and responsible innovation. The program aims to equip them with the skills to turn predictions into decisions and manage a variety of AI’s societal impacts — especially as AI increasingly automates work and decision-making. It would also benefit technical professionals with existing AI and machine learning expertise looking to upskill in order to design better, more human-centered models. This program also serves to bridge the knowledge and communication gap between both groups of participants.
Benefits
- Gain a practical framework: Use a proprietary MIT ML Deployment Framework to examine the impact of AI across its entire design pipeline.
- Make a positive impact: Develop a strategy for AI implementation that’s effective, as well as safe and sensible for individuals, organizations, and society, based on strategic and technical guidance from experts.
- Enhance AI Systems Performance: Understand the vulnerabilities of AI systems, and explore the steps necessary to imbue these systems with robustness and privacy.
- Improve AI Decisions: Mitigate bias, inequity, and overconfidence by understanding and preparing for the common pitfalls of algorithmic decision-making.
What You'll Learn
- Power and Limitations of Machine Learning
- Robustness and Privacy
- Risks of Using Predictions for Decision-Making
- Human Technology Interaction
- AI in your Business
- AI's Contribution to Inclusive Prosperity