Ethics of AI: Building Responsible AI, Machine Learning, and GPTs

Artificial Intelligence (AI), Machine Learning (ML), and Generative Pre-Trained Transformers (GPTs) are transforming industries and capturing the public imagination in profound ways. The excitement and opportunity around these technologies is ubiquitous; however, their inherent characteristics present a host of ethical challenges—from data insecurity and bias to hallucinations and misinformation. 

While there is growing recognition of the need to address these issues, popular responses—such as broad principles for governance or high-level oversight mechanisms—are largely ineffective. Therefore, professionals must draw on the growing body of real-world learning and expertise regarding the development of ethical and responsible AI, ML, and GPTs. 

In this timely and actionable on-campus program—featuring a powerful blend of working sessions, case study exploration, and hands-on exercises—you’ll gain the advanced knowledge you need to develop AI systems that are humane, ethical, and sustainable. This is an exciting opportunity to learn from leading experts on the cutting-edge of ethical AI at MIT and in Kendall Square—and gain real strategies that you can put to work straight away within your organization.
 

• Gain a deeper understanding of the key characteristics of AI, ML, and GPT technologies, including Large Language Models, and the challenges around their ethical development, deployment, and use
• Explore the specific ethical and practical challenges posed by data-driven technologies, including bias, hallucinations, data leakage, privacy issues, negative externalities, and other unforeseen consequences
• Learn to critically assess these ethical challenges and apply appropriate principles and practical guidelines for governance in AI development and deployment
• Develop the skills you need to implement ethical frameworks and governance strategies effectively in real-world applications

Core Competencies
 

• Understanding the development of AI, ML, and GPT technologies and their associated ethical challenges
• Recognizing a range of practical ethical challenges, including bias, hallucinations, and data privacy concerns
• Applying appropriate principles and guidelines for responsible governance in AI development and deployment
• Implementing ethical frameworks and governance strategies in real-world AI applications

This program is ideal for professionals across multiple industries who are responsible for developing or deploying AI systems. The course is particularly relevant for:

• Presidents, vice presidents, and executive directors of leading organizations who are looking to understand the inherent risks of building and deploying AI applications
• Chief technology officers looking to expand their use of AI across their enterprises while minimizing risks to their organization, partners, and customers
• Chief product officers looking to develop responsible and ethical AI products and solutions
• Chief marketing officers and marketing executives looking to use AI to connect with customers in a positive, impactful way