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Ethical Issues in AI and Professional Ethics

Explore ethical challenges in AI, including algorithmic bias, professional ethics, and workplace diversity.

Explore ethical challenges in AI, including algorithmic bias, professional ethics, and workplace diversity.

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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Ethical Issues in AI and Professional Ethics

This course includes

37 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Understand and identify algorithmic bias in machine learning systems

  • Analyze gender and racial implications in AI applications

  • Apply professional ethics codes in computing

  • Evaluate tech workplace culture and diversity issues

  • Assess ethical implications of emerging AI technologies

Skills you'll gain

AI Ethics
Professional Ethics
Algorithmic Bias
Ethics Frameworks
Technology Ethics
Diversity in Tech
Computing Ethics
Machine Learning Ethics
Workplace Ethics
Generative AI

This course includes:

6.8 Hours PreRecorded video

4 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

Certificate

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There are 5 modules in this course

This comprehensive course examines ethical issues in computing systems and their societal impact. Students explore algorithmic bias in machine learning, focusing on gender and racial implications. The curriculum covers professional ethics in computing, workplace culture, and emerging challenges in AI technologies like facial recognition and generative AI. Through case studies and discussions, participants develop critical thinking skills to address ethical challenges in modern technology development and implementation.

Course Overview and Ethical Foundations

Module 1 · 4 Hours to complete

Algorithmic Bias

Module 2 · 10 Hours to complete

Gender and Race in Computing

Module 3 · 5 Hours to complete

Professional Ethics, including Gender and Race in the Tech Workforce

Module 4 · 8 Hours to complete

Generative AI and the Future of AI

Module 5 · 7 Hours to complete

Fee Structure

Instructor

Bobby Schnabel
Bobby Schnabel

4.9 rating

18 Reviews

4,838 Students

4 Courses

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.

Ethical Issues in AI and Professional Ethics

This course includes

37 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.