Data Science Ethics
Instructor: H.V. Jagadish
What you'll learn
Skills you'll gain
There are 10 modules in this course
This course provides a framework to analyze these concerns as you examine the ethical and privacy implications of collecting and managing big data. Explore the broader impact of the data science field on modern society and the principles of fairness, accountability and transparency as you gain a deeper understanding of the importance of a shared set of ethical values. You will examine the need for voluntary disclosure when leveraging metadata to inform basic algorithms and/or complex artificial intelligence systems while also learning best practices for responsible data management, understanding the significance of the Fair Information Practices Principles Act and the laws concerning the "right to be forgotten." This course will help you answer questions such as who owns data, how do we value privacy, how to receive informed consent and what it means to be fair. Data scientists and anyone beginning to use or expand their use of data will benefit from this course. No particular previous knowledge needed.
History, Concept of Informed Consent
Data Ownership
Privacy
Anonymity
Data Validity
Algorithmic Fairness
Societal Consequences
Code of Ethics
Attributions
Explore more from Data Analysis
©2025 ementorhub.com. All rights reserved