Explore ethical implications of big data and AI while gaining hands-on experience with IBM Watson and machine learning.
Explore ethical implications of big data and AI while gaining hands-on experience with IBM Watson and machine learning.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Computational Social Science Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.6
(522 ratings)
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Instructors:
English
پښتو, বাংলা, اردو, 3 more
What you'll learn
Define and analyze big data opportunities and limitations
Use IBM Watson for natural language processing analysis
Examine real-world AI applications through case studies
Evaluate ethical implications of AI and big data
Skills you'll gain
This course includes:
6.9 Hours PreRecorded video
5 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course explores the intersection of big data, artificial intelligence, and ethics in computational social science. Students learn about digital footprints, machine learning applications, and ethical considerations while gaining hands-on experience with IBM Watson's AI and Google's teachable machines. The curriculum covers both opportunities and limitations of big data, real-world AI applications, and crucial ethical considerations in research and technology.
Getting Started and Big Data Opportunities
Module 1 · 2 Hours to complete
Big Data Limitations
Module 2 · 2 Hours to complete
Artificial Intelligence
Module 3 · 3 Hours to complete
Research Ethics
Module 4 · 3 Hours to complete
Fee Structure
Instructor
Leading Expert in Computational Social Science at UC Davis
Professor Martin Hilbert is a distinguished academic at the University of California, Davis, where he serves as the Chair of the Department of Computational Social Science. His research focuses on the impact of digital information and algorithms within complex social systems. Dr. Hilbert holds dual doctorates in Economics and Social Sciences (2006) and in Communication (2012), and he is affiliated with both the Communication and Computer Science departments at UC Davis. He is widely recognized for his groundbreaking study that quantified the amount of information in the world and for designing the first digital action plan in collaboration with Latin American and Caribbean governments at the United Nations. Additionally, he was one of the first to raise concerns about Cambridge Analytica's influence on elections before the scandal emerged. Prior to his academic career, Dr. Hilbert worked for 15 years as an Economic Affairs Officer at the United Nations, where he developed the Information Society Program for Latin America and the Caribbean, providing technical assistance to over 20 countries. His extensive research has been published in prestigious journals such as Science and World Development, and he is frequently featured in major media outlets including The Wall Street Journal and NPR. Fluent in five languages and having lived on four continents, Dr. Hilbert brings a truly international perspective to his work, having traveled to over 70 countries throughout his career.
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4.6 course rating
522 ratings
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