MITx: Making AI Work: Machine Intelligence for Business and Society

About MITx: Making AI Work: Machine Intelligence for Business and Society

About this CourseDuration : 6 weeks (excluding orientation) Artificial intelligence (AI) is used to assist decision-making in health care, law, security, criminal justice, social media, and beyond. The possibilities are near-endless, but AI isn’t without risk. It’s now clear that data-driven decisions can have far-reaching impacts on individuals, organizations, and society as a whole. These unintended consequences are often difficult to identify and challenging to mitigate, but doing so creates new opportunities. Given the costs and risks of AI investment, it’s critical that leaders proactively anticipate and address these issues. 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 offers a systematic approach to examining the power and limitations of machine learning (ML) tools. Over six weeks, you’ll explore the vulnerabilities of AI and understand the steps needed to create robust systems with privacy at their core. You’ll also investigate the importance of human-technology collaboration in gaining a competitive advantage for your organization. On completion of this program, you’ll walk away with a proprietary ML Deployment Framework and practical strategies to redirect current AI and ML models to shape the businesses and society of the future. This program is designed to equip business leaders with the skills and insights to manage the organizational and societal impacts of AI. It provides practical frameworks and strategies that address effective and responsible data usage, machine learning systems, and general technological advancements. Those in leadership roles in both the public and private sectors will be empowered to guide their firms toward responsible innovation. This program also bridges the gap between executives and technical professionals. Those who already have functional expertise in this area will identify opportunities to build better AI and machine learning models, and be further prepared to assist leaders in critical decision-making.