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.
