Ethical Issues in Computing Applications
Analyze AI and robotics ethics through real-world cases, fostering critical discussions on technology's impact and responsible development.
Analyze AI and robotics ethics through real-world cases, fostering critical discussions on technology's impact and responsible development.
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 Computing, Ethics, and Society 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.
Instructors:
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What you'll learn
Identify and analyze ethical issues in technology applications
Apply ethical frameworks to real-world computing scenarios
Evaluate the impact of AI and robotics on society
Assess ethical implications of autonomous systems
Understand technology's influence on future employment
Skills you'll gain
This course includes:
7.4 Hours PreRecorded video
4 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This comprehensive course explores the ethical implications of modern computing technologies across various domains. Students examine ethical frameworks and their application to real-world scenarios in healthcare, robotics, autonomous vehicles, and AI. The curriculum covers crucial topics including medical data privacy, gene editing ethics, military robotics, autonomous vehicle safety, and the future of work in an AI-driven world. Through case studies and discussions, participants develop critical thinking skills to address emerging ethical challenges in technology.
Course Overview
Module 1 · 3 Hours to complete
Medical Applications
Module 2 · 9 Hours to complete
Robotics
Module 3 · 6 Hours to complete
Autonomous Vehicles
Module 4 · 6 Hours to complete
Future of Work
Module 5 · 6 Hours to complete
Fee Structure
Instructor
Distinguished Leader in Computer Science and Education
Bobby Schnabel is a Professor and External Chair of Computer Science at the University of Colorado Boulder, where he also serves as the Faculty Director for Entrepreneurship in the College of Engineering and Applied Science. He previously held the role of CEO of the Association for Computing Machinery (ACM) from 2015 to 2017 and was Dean of the School of Informatics and Computing at Indiana University from 2007 to 2015. Schnabel was part of the Computer Science faculty at CU Boulder from 1977 to 2007, during which time he served as CS department chair from 1990 to 1995, associate dean for academic affairs from 1995 to 1997, founding director of the ATLAS Institute from 1997 to 2007, and vice provost for academic and campus computing and Chief Information Officer from 1998 to 2007. He is a co-founder of the National Center for Women & Information Technology (NCWIT) and remains active on its executive team. Additionally, he co-founded the AAAI/ACM Conference on AI, Ethics and Society and chairs the ACM task force on ethics in computing education.
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Frequently asked questions
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