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Ethical Issues in AI and Professional Ethics
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Ethical Issues in AI and Professional Ethics

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

Course Cost

Free course

Beginner

Skill Level

35 Hours

Self-paced lessons

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.

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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

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Certificate
Certificate

Get a Completion Certificate

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

CREATED BY

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PROVIDED BY

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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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

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Ethical Issues in AI and Professional Ethics

Beginner

Skill Level

35 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

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.