Data Science and Artificial Intelligence Ethics, Governance, and Laws

Harvard Summer School

CSCI S-184

Section 1

CRN 35565

View Course Details
Data science and artificial intelligence (AI) are creating new opportunities to improve businesses' decision making, productivity, and competitiveness. However, data science and AI also create ethical and privacy concerns. For example, a classification algorithm can harm a sub-category of the population due to bias in the data used to develop and train the model. Data scientists and AI engineers often learn the concepts, tools, and techniques and then start to collect data and develop machine learning algorithms without realizing the unintended consequences of their data products. What obligation do data scientists and AI engineers have to be guardians of the data they collect and analyze? How do we ensure data and AI products' fairness, interpretability, privacy, and security? This course focuses on ethics, governance, and laws specifically related to data science and AI. This course aims to provide a framework to help students understand the value tradeoffs at stake as they collect data, develop algorithms, and deal with some of the consequences. We use case studies, examples, and simulations to facilitate learning, critical thinking, debates, decision making, and problem solving in the context of data science, AI ethics, and governance.

Instructor Info

Bruce Huang, EdD

Director of Master's Degree Program in Information Technology, Harvard Extension School


Meeting Info

MW 8:30am - 11:30am (6/24 - 8/9)

Participation Option: Online Asynchronous or Online Synchronous

In online asynchronous courses, you are not required to attend class at a particular time. Instead you can complete the course work on your own schedule each week.

Deadlines

Last day to register: June 20, 2024

Notes

This course meets via web conference. Students may attend at the scheduled meeting time or watch recorded sessions asynchronously. The recorded sessions are typically available within a few hours of the end of class and no later than the following business day. Not open to Secondary School Program students.

Syllabus

All Sections of this Course

CRN Section # Participation Option(s) Instructor Section Status Meets Term Dates
35565 1 Online Asynchronous, Online Synchronous Bruce Huang Field not found in response. MW 8:30am - 11:30am
Jun 24 to Aug 9
26606 1 Online Asynchronous, Online Synchronous Bruce Huang Open T 3:00pm - 5:00pm
Jan 27 to May 17