AI Ethics: Building Empathetic and Responsible Systems
Explore the ethical implications of AI advancements. Learn to develop a personal ethical framework for AI use.
Explore the ethical implications of AI advancements. Learn to develop a personal ethical framework for AI use.
Dive into the complex world of artificial intelligence ethics with this non-technical course led by Kelvin Lwin from UC Santa Cruz. This program offers a comprehensive overview of AI advancements and the ethical challenges we face in their development, implementation, and global use. You'll explore various AI approaches, including computer vision and facial recognition, and examine their implications for privacy and human rights. The course encourages critical thinking about the role of AI in our future, covering topics such as deep fakes and the potential need for government regulation. By the end of the course, you'll have developed a personal ethical framework for AI use and gained insights into speculating about AI's future role in society.
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What you'll learn
Compose a personal ethical framework for AI use
Explain how various types of AI programs work, including computer vision and facial recognition
Understand the ethical challenges posed by AI advancements
Analyze the implications of AI technologies on privacy and human rights
Explore the concept of empathy in relation to AI development
Evaluate the potential roles of government in AI regulation
Skills you'll gain
This course includes:
57 Minutes PreRecorded video
1 assignment
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There are 4 modules in this course
This course provides a non-technical exploration of artificial intelligence advancements and their ethical implications. The curriculum is divided into four main areas: Definitions and Discriminators, Learning, Perception and Empathy, and AI and the Future. Students will learn about various AI approaches, including computer vision and facial recognition, and examine their impact on privacy and human rights. The course encourages critical thinking about the role of AI in society and the potential need for government regulation. Through a combination of video lectures, discussions, and a final project, participants will develop a personal ethical framework for AI use and gain the ability to speculate about AI's future role.
Definitions and Discriminators
Module 1 · 40 Minutes to complete
Learning
Module 2 · 22 Minutes to complete
Perception and Empathy
Module 3 · 35 Minutes to complete
AI and the Future
Module 4 · 2 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
AI Architect and Educator at UC Santa Cruz Specializing in AI, Empathy, and Ethics
Kelvin Lwin is an AI architect with a decade of experience teaching technical subjects related to computer science and artificial intelligence/deep learning in both industry and academia. He has held various leadership roles, including Chief AI Officer at byteLiberator and CEO of Alin.ai, where he focuses on personalized AI education for K-12 students. Lwin served as an instructor at UC Santa Cruz for the course "AI, Empathy & Ethics" and has extensive experience in developing AI systems, particularly in computer vision and industrial applications.
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4.5 course rating
147 ratings
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