The rapid advancement of computer vision technology brings significant ethical challenges, such as privacy concerns, bias, and legal implications. In this course, Ethics for Computer Vision, you’ll learn to navigate and address these ethical challenges. First, you’ll explore the ethical concerns related to computer vision, including fraud, bias, and privacy issues. Next, you’ll discover how to analyze ethical dilemmas and current challenges in the field through case studies. Finally, you’ll learn how to apply global regulations, industry standards, and best practices to ensure ethical compliance in computer vision applications. When you’re finished with this course, you’ll have the skills and knowledge of computer vision ethics needed to make responsible and informed decisions in your professional role.
Author Name: Bogdan Sucaciu
Author Description:
Software Engineer by day, Pluralsight author by night, Bogdan likes to experiment with cutting-edge technologies and teach about them. His favorite talking subjects are streaming data, event-driven architectures, distributed systems, and cloud technologies. He has several years of experience “cooking” software with JVM based languages, some flavors of web technologies, and garnishing with automated testing. He holds a BS in Robotics where he spent countless hours programming microcontrollers an… more

Table of Contents

• Course Overview
  1min
• Understanding Ethics in Computer Vision
  23mins