• For Individuals
  • For Businesses
  • For Universities
  • For Governments
Degrees
Log In
Join for Free
  • Browse
  • Ai Ethics

AI Ethics Courses

AI ethics courses can help you learn how artificial intelligence systems affect fairness, transparency, and accountability across different contexts. You can build skills in identifying bias, evaluating model impacts, and applying ethical frameworks to real-world examples. Many courses introduce tools for auditing datasets, reviewing system behavior, and assessing responsible AI practices that guide thoughtful decision-making.


Popular AI Ethics Courses and Certifications


  • Status: Preview
    Preview
    L

    Lund University

    Artificial Intelligence: Ethics & Societal Challenges

    Skills you'll gain: Responsible AI, Artificial Intelligence, Social Impact, Social Justice, Algorithms, Ethical Standards And Conduct, Information Privacy, Governance

    4.7
    Rating, 4.7 out of 5 stars
    ·
    343 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    U

    University of Cambridge

    Ethical AI: AI essentials for everyone

    Skills you'll gain: AI Security

    4.9
    Rating, 4.9 out of 5 stars
    ·
    25 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    AI Ethics, Responsible Use, and Creativity

    Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence, Generative AI, Creativity, Ethical Standards And Conduct, Risk Management Framework, Environmental Issue, Trustworthiness, Analysis, Intellectual Property, Leadership

    4.7
    Rating, 4.7 out of 5 stars
    ·
    33 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Introduction to Responsible AI

    Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence, AI Product Strategy

    4.7
    Rating, 4.7 out of 5 stars
    ·
    899 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Impact, Considerations, and Ethical Issues

    Skills you'll gain: Responsible AI, Data Ethics, Generative AI, Business Ethics, Legal Risk, Socioeconomics, AI Security, Social Impact, Information Privacy, Accountability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    303 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of California, Santa Cruz

    AI, Empathy & Ethics

    Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence, Artificial Neural Networks, Ethical Standards And Conduct, Network Model, Machine Learning, Empathy & Emotional Intelligence, Supervised Learning, Reinforcement Learning, Policy Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    441 reviews

    Beginner · Course · 1 - 4 Weeks

What brings you to Coursera today?

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Building Trustworthy AI

    Skills you'll gain: AI Security, Responsible AI, Threat Modeling, DevSecOps, Governance Risk Management and Compliance, Compliance Management, Data Ethics, Data Governance, Model Evaluation, Reinforcement Learning, Risk Management, Prompt Engineering, Governance, Regulatory Compliance, Security Testing, MLOps (Machine Learning Operations), MITRE ATT&CK Framework, Continuous Monitoring, Ethical Standards And Conduct, Vulnerability Assessments

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Responsible Generative AI

    Skills you'll gain: Responsible AI, Generative AI, Governance, Data Governance, Data Ethics, Compliance Management, Consumer Behaviour, AI Enablement, Social Impact, Business Risk Management, Business Operations, AI Product Strategy, Risk Analysis, Automation, Stakeholder Management, Operations, Artificial Intelligence, Human Resources, Leadership and Management, Risk Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    312 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Politecnico di Milano

    Ethics of Artificial Intelligence

    Skills you'll gain: Responsible AI, Social Impact, Social Studies

    4.8
    Rating, 4.8 out of 5 stars
    ·
    296 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    R

    Rutgers the State University of New Jersey

    AI Ethics in Business

    Skills you'll gain: Business Ethics, Responsible AI, Case Studies, Governance, Ethical Standards And Conduct, AI Security, Compliance Management, Artificial Intelligence, Business Management, Regulation and Legal Compliance, Accountability, Information Privacy, Business Strategies, Decision Making, Social Impact, Social Justice

    3.6
    Rating, 3.6 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    Ethical Governance & Risk in Agentic AI

    Skills you'll gain: Agentic systems, Responsible AI, Compliance Management, Governance, Regulatory Compliance, Artificial Intelligence, Risk Analysis, Case Studies, Business Ethics, Ethical Standards And Conduct, Risk Management, Accountability, Regulatory Requirements

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Cyber Security: Security of AI

    Skills you'll gain: AI Security, Responsible AI, Cyber Security Strategy, Cyber Attacks, Cyber Threat Intelligence, Cybersecurity, Data Security, DevSecOps, Security Engineering, Artificial Intelligence, Threat Modeling, Cyber Governance, Artificial Intelligence and Machine Learning (AI/ML), Risk Management, Encryption, Application Programming Interface (API), Machine Learning, Governance, Regulation and Legal Compliance, Applied Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 1 - 3 Months

Searches related to ai ethics

ai ethics, responsible use, and creativity
ai ethics in business
ai ethics for the workplace
ai ethics
align ai: ethics, strategy & excellence
ai, empathy & ethics
navigating generative ai ethics
document and evaluate ai ethics
1234…339

In summary, here are 10 of our most popular ai ethics courses

  • Artificial Intelligence: Ethics & Societal Challenges: Lund University
  • Ethical AI: AI essentials for everyone: University of Cambridge
  • AI Ethics, Responsible Use, and Creativity: University of Michigan
  • Introduction to Responsible AI: Google Cloud
  • Generative AI: Impact, Considerations, and Ethical Issues: IBM
  • AI, Empathy & Ethics: University of California, Santa Cruz
  • Building Trustworthy AI: Coursera
  • Responsible Generative AI: University of Michigan
  • Ethics of Artificial Intelligence: Politecnico di Milano
  • AI Ethics in Business: Rutgers the State University of New Jersey

Frequently Asked Questions about Ai Ethics

AI ethics refers to the moral implications and responsibilities surrounding the development and use of artificial intelligence technologies. As AI systems become increasingly integrated into various aspects of society, understanding AI ethics is crucial to ensure that these technologies are designed and implemented in ways that are fair, transparent, and beneficial to all. The importance of AI ethics lies in its potential to address issues such as bias, privacy, accountability, and the societal impact of AI decisions. By prioritizing ethical considerations, we can foster trust in AI systems and promote their responsible use.‎

Careers in AI ethics are diverse and growing as organizations recognize the need for ethical oversight in technology. Potential job roles include AI ethicist, data privacy officer, compliance manager, and policy advisor. These positions often involve assessing the ethical implications of AI systems, developing guidelines for responsible AI use, and ensuring compliance with regulations. Additionally, roles in research, consulting, and education are also available, focusing on the ethical challenges posed by AI and how to address them effectively.‎

To work in AI ethics, several key skills are essential. A strong understanding of ethical theories and frameworks is crucial, as is familiarity with AI technologies and their applications. Critical thinking and analytical skills help in evaluating the implications of AI systems. Communication skills are also important for articulating ethical concerns and engaging with stakeholders. Additionally, knowledge of data privacy laws and regulations can enhance your ability to navigate the complex landscape of AI ethics.‎

There are several excellent online courses available for those interested in AI ethics. Notable options include the Artificial Intelligence: Ethics & Societal Challenges course, which explores the ethical dilemmas posed by AI technologies. The Ethics in the Age of AI Specialization offers a comprehensive look at ethical considerations across various AI applications. Additionally, the AI Ethics for the Workplace course focuses on implementing ethical practices in professional settings.‎

Yes. You can start learning AI ethics on Coursera for free in two ways:

  1. Preview the first module of many AI ethics courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in AI ethics, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

Learning AI ethics can be approached through various methods. Start by enrolling in online courses that focus on the ethical implications of AI technologies. Engage with relevant literature, including books and articles that discuss ethical theories and case studies in AI. Participating in discussions, webinars, and workshops can also enhance your understanding. Additionally, consider joining professional networks or forums dedicated to AI ethics to connect with others in the field and share insights.‎

AI ethics courses typically cover a range of topics, including ethical theories, bias in AI systems, data privacy, accountability, and the societal impacts of AI technologies. Courses may also explore case studies that highlight real-world ethical dilemmas and the frameworks used to address them. Additionally, discussions on regulatory compliance and best practices for responsible AI use are common, providing a comprehensive understanding of the ethical landscape surrounding AI.‎

For training and upskilling employees in AI ethics, courses like AI Ethics in Business and AI Ethics for the Workplace are particularly beneficial. These courses focus on integrating ethical practices into business operations and workplace environments, ensuring that employees are equipped to handle the ethical challenges posed by AI technologies. By investing in such training, organizations can foster a culture of ethical awareness and responsibility.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

Other topics to explore

Arts and Humanities
338 courses
Business
1095 courses
Computer Science
668 courses
Data Science
425 courses
Information Technology
145 courses
Health
471 courses
Math and Logic
70 courses
Personal Development
137 courses
Physical Science and Engineering
413 courses
Social Sciences
401 courses
Language Learning
150 courses

Coursera Footer

Skills

  • Artificial Intelligence (AI)
  • Cybersecurity
  • Data Analytics
  • Digital Marketing
  • English Speaking
  • Generative AI (GenAI)
  • Microsoft Excel
  • Microsoft Power BI
  • Project Management
  • Python

Certificates & Programs

  • Google Cybersecurity Certificate
  • Google Data Analytics Certificate
  • Google IT Support Certificate
  • Google Project Management Certificate
  • Google UX Design Certificate
  • IBM Data Analyst Certificate
  • IBM Data Science Certificate
  • Machine Learning Certificate
  • Microsoft Power BI Data Analyst Certificate
  • UI / UX Design Certificate

Industries & Careers

  • Business
  • Computer Science
  • Data Science
  • Education & Teaching
  • Engineering
  • Finance
  • Healthcare
  • Human Resources (HR)
  • Information Technology (IT)
  • Marketing

Career Resources

  • Career Aptitude Test
  • Examples of Strengths and Weaknesses for Job Interviews
  • High-Income Skills to Learn
  • How Does Cryptocurrency Work?
  • How to Highlight Duplicates in Google Sheets
  • How to Learn Artificial Intelligence
  • Popular Cybersecurity Certifications
  • Preparing for the PMP Certification
  • Signs You Will Get the Job After an Interview
  • What Is Artificial Intelligence?

Coursera

  • About
  • What We Offer
  • Leadership
  • Careers
  • Catalog
  • Coursera Plus
  • Professional Certificates
  • MasterTrack® Certificates
  • Degrees
  • For Enterprise
  • For Government
  • For Campus
  • Become a Partner
  • Social Impact
  • Free Courses
  • Share your Coursera learning story

Community

  • Learners
  • Partners
  • Beta Testers
  • Blog
  • The Coursera Podcast
  • Tech Blog

More

  • Press
  • Investors
  • Terms
  • Privacy
  • Help
  • Accessibility
  • Contact
  • Articles
  • Directory
  • Affiliates
  • Modern Slavery Statement
  • Do Not Sell/Share
Learn Anywhere
Download on the App Store
Get it on Google Play
Logo of Certified B Corporation
© 2026 Coursera Inc. All rights reserved.
  • Coursera Facebook
  • Coursera Linkedin
  • Coursera Twitter
  • Coursera YouTube
  • Coursera Instagram
  • Coursera TikTok