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    Making AI Work: Machine Intelligence for Business and Society
    MIT Sloan School of Management

    Making AI Work: Machine Intelligence for Business and Society

    MIT Sloan School of Management, Cambridge
    HomeMIT Sloan School of ManagementMaking AI Work: Machine Intelligence for Business and Society
    7 weeksDuration
    onlineFormat
    EnglishLanguage
    Data & AITopic

    Available Cohorts

    Choose your preferred start date

    Jun 3 - Jul 21, 2026
    7 weeks · online · Self-Paced
    Open
    Aug 12 - Sep 29, 2026
    7 weeks · online · Self-Paced
    Open
    Nov 18, 2026 - Feb 2, 2027
    11 weeks · online · Self-Paced
    Open
    $3,250

    All-inclusive program fee

    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?

    MIT Sloan doesn't trade on prestige alone — it trades on proximity. Proximity to one of the world's densest concentrations of engineering, AI, and life sciences research, and to a faculty that publishes the ideas executives will be managing around in five years. If you want to understand how technology reshapes strategy before it reshapes your industry, this is the room to be in.

    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