University of Colorado Boulder - Ethical Issues in AI and Professional Ethics
- Offered byCoursera
Ethical Issues in AI and Professional Ethics at Coursera Overview
Duration | 37 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Ethical Issues in AI and Professional Ethics at Coursera Highlights
- Earn a certificate from
University of Colorado Boulder - Add to your LinkedIn profile
- October 2023
- 4 quizzes
Ethical Issues in AI and Professional Ethics at Coursera Course details
- What you'll learn
- Describe the causes and prevention of algorithmic bias in machine learning algorithms.
- Identify key instances of algorithmic bias, including relations to gender and race.
- Describe the main code of professional ethics in computing.
- Analyze issues in the culture of the tech workplace and reflect about how to address these in your career.
- Computing systems and technologies fundamentally impact the lives of most people in the world, including how we communicate, get information, socialize, and receive healthcare. This course is the second of a three course sequence that examines ethical issues in the design and implementation of computing systems and technologies, and reflects upon the broad implication of computing on our society. It covers algorithmic bias in machine learning methods, professional ethics, and issues in the tech workplace.
- This course can be taken for academic credit as part of CU Boulder's MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more:
- MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
Ethical Issues in AI and Professional Ethics at Coursera Curriculum
Course Overview and Ethical Foundations
Course Overview: Part 1
Course Overview: Part 2
Kantianism and Virtue Ethics: Part 1
Kantianism and Virtue Ethics: Part 2
Utilitarianism and Social Contract Theory: Part 1
Utilitarianism and Social Contract Theory: Part 2
Earn Academic Credit for your Work!
Course Support
Introduction to Ethics
Applying an Ethical Framework
"The Trolley Problem" - Video
Kantianism/Deontology and Virtue Ethics
Optional Readings on Virtue Ethics and Ethical Theories
Utilitarianism and Social Contract Theory
Should Batman Kill the Joker?
ACM Code of Ethics and Professional Conduct Studies (Malware)
Optional Reading on Utilitarianism
Ethical Theories
Professional Ethics Case Study
Algorithmic Bias
Overview of Algorithmic Bias: Part 1
Overview of Algorithmic Bias: Part 2
Examples of Algorithmic Bias: Part 1
Examples of Algorithmic Bias: Part 2
Algorithmic Bias and other Ethical Issues in Facial Recognition: Part 1
Algorithmic Bias and other Ethical Issues in Facial Recognition: Part 2
Legal and Regulatory Issues in Facial Recognition: Part 1
Legal and Regulatory Issues in Facial Recognition: Part 2
How Problematic is Algorithmic Bias?
How I'm fighting bias in algorithms - TED Talk
The Defense for Algorithmic Bias
A Call for Greater AI Transparency in NYC
Amazon Bot Fires Long-Time Employee Over Nothing
Gender and Race Bias in AI
New NYC AI Tool Goes Live
Optional: AI Makes Robots Racist and Sexist
How Does Facial Recognition Work?
Racial Bias in Facial Recognition
Europe's Reaction to Facial Recognition Technology
Optional: More About How Facial Recognition Technology Works
Limiting the Use of Facial Recognition
The Relationship Between AI and Law Enforcement
Optional: AI Police Use on the Rise/First Regulation Act on AI
Algorithmic Bias
Brookings Institution Study
Potential Uses of Facial Recognition
Gender and Race in Computing
Algorithmic Bias Related to Gender and Race: Part 1
Algorithmic Bias Related to Gender and Race: Part 2
Gender and Race in Algorithms: Part 1
Gender and Race in Algorithms: Part 2
The Pros and Cons of Using AI to Hire People
The Drawbacks of Predictive Policing with AI
Facebook Advertisements Infused with Racial Bias
Racial Bias in Speech, Hospital, and Fitness Algorithms
Optional: Companies Using Facebook to Isolate Older Workers
Facial Recognition Data
Gender and Race in Computing
Algorithmic Hiring
Professional Ethics, including Gender and Race in the Tech Workforce
Professional Ethics in Computing: Part 1
Professional Ethics in Computing: Part 2
Gender and Race in the Computing Workforce: Part 1
Gender and Race in the Computing Workforce: Part 2
Diversity in the Computing Workforce: Part 1
Diversity in the Computing Workforce: Part 2
Professional Interview Reports: Part 1
Professional Interview Reports: Part 2
ACM Code of Ethics
Ethical Considerations in the Apple-FBI Case
A Shift in the Tech Industry
Bad Behavior at Uber
Optional: Gender-Balanced Teams in the Tech Industry
Debating About Diversity and Gender Biases at Google
The Story of Timnit Gebru
Leader of Apple Activist Movement Fired by the Company
Gender Diversity in Tech
Professional Interview Report
Article Discussion
Generative AI and the Future of AI
Ethical Issues Related to Generative AI: Part 1
Ethical Issues Related to Generative AI: Part 2
Ethical Issues Related to the Future of AI: Part 1
Ethical Issues Related to the Future of AI: Part 2
ChatGPT: Bans and Controversies
The Danger of Using AI
Optional: What is Generative AI?
TED Talk: What happens when our computers get smarter than we are?
Superintelligence: What's the Big Idea?
Optional: Can Humans and AI Co-exist?
AI Regulations
Article Discussion
Generative AI Concerns
Ethical Issues in AI and Professional Ethics at Coursera Admission Process
Important Dates
Other courses offered by Coursera
Student Forum
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