Is this relevant if my company hasn’t implemented AI yet?

Absolutely. Ethical readiness must come before AI adoption. The course prepares you to guide responsible implementation from day one.

Does the course cover global AI regulations?

Yes. You’ll explore U.S., EU, and international policies, including the EU AI Act, emerging governance models, and compliance trends.

Will this help me in roles beyond ethics?

Yes. Ethical literacy is now essential for product teams, leadership roles, compliance, HR, data teams, and AI project owners.

How does this certification add value to my career?

Organizations increasingly require ethical AI oversight. This credential positions you for roles in AI governance, compliance, and risk.

What will I get if I purchase the Certificate?

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Responsible AI Principles

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Responsible AI Principles

Instructor: AI CERTs Team

Included with

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9 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

3 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

9 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

3 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Build Ethical AI Foundations: Learn core ethics principles, fairness, transparency, and responsible AI decision-making.
Assess & Reduce AI Risk: Identify bias, privacy issues, and security risks using tools like AI Fairness 360 and Explainability 360.
Apply Global AI Standards: Understand global regulations, governance frameworks, and compliance requirements for AI systems.
Evaluate Real-World AI Systems: Use industry tools to audit models, interpret decisions.

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

There are 9 modules in this course

AI+ Ethics™ is a focused, one-day program designed to equip professionals with the knowledge and frameworks needed to evaluate, guide, and govern ethical AI use within organisations. As AI systems scale, leaders must navigate challenges around bias, fairness, privacy, transparency, security, and global regulatory requirements. This course provides a practical foundation to assess risks, strengthen governance, and ensure AI systems operate responsibly and in alignment with organisational values.

Learners explore real-world case studies, ethical decision-making models, and global standards to understand how ethical failures occur—and how to prevent them. The program features hands-on exposure to leading tools such as IBM AI Fairness 360, IBM AI Explainability 360, AI4People Frameworks, and the European Commission’s AI Ethics Guidelines, helping participants analyse model behaviour, identify bias, and strengthen oversight. Whether you work in compliance, technology, risk, policy, academia, or leadership, this certification builds the confidence and capability to shape trustworthy AI practices across industries.

This module covers a quick summary of what the certification is going to cover from start to finish. Here is the brief about the structure of the overall certification: Each of our certifications follows a consistent, multimodal structure to provide a flexible learning experience. The content is available across four formats: eBooks: In-depth written material for focused learning. Audiobooks: Audio version of the eBook, perfect for learning on the go. Podcasts: Engaging audio content to reinforce key concepts. Videos: Modular video chunks, each covering a specific topic. The names of the eBooks, Audiobooks, and Podcasts are the same, ensuring you can seamlessly switch between formats without losing track of the content. Videos are divided into bite-sized modules for easier consumption, and all content across these mediums is consistent, so no matter which format you choose, the information remains the same. This gives you the freedom to learn in the way that works best for you.

What's included

14 videos2 readings1 assignment1 plugin

14 videos Total 174 minutes

Course Introduction 5 minutes
Audiobook: Course Introduction 8 minutes
Audiobook: Module 1: Overview of AI Ethics and Societal Impact 87 minutes
Podcast: Module 1: Overview of AI Ethics and Societal Impact 34 minutes
1.1 Overview of Ethical Considerations in AI 4 minutes
1.2 Societal Impact of AI Technologies 4 minutes
1.3 Ethics and Privacy in the Age of AI 3 minutes
1.4 The Impact of AI on Social Interaction and Lifestyle Transformations 4 minutes
1.5 AI in Healthcare 5 minutes
1.6 AI in Education 5 minutes
1.7 AI and the Environment 4 minutes
1.8 Framework Establishment and Stakeholder Involvement 4 minutes
1.9 Assessment Process and Methodologies 4 minutes
1.10 Reporting, Recommendations, and Continuous Monitoring 3 minutes

2 readings Total 20 minutes

Hands On 1 10 minutes
Hands On 2 10 minutes

1 assignment Total 30 minutes

Quiz 1 30 minutes

1 plugin Total 15 minutes

eBook: Module 1: Overview of AI Ethics and Societal Impact 15 minutes

What's included

8 videos3 readings1 assignment1 plugin

8 videos Total 137 minutes

AudioBook: Module 2: Bias and Fairness in AI 74 minutes
Podcast: Module 2: Bias and Fairness in AI 39 minutes
2.1 Exploration of Biases in Data and Algorithms 5 minutes
2.2 Navigating Ethics: Data Collection Practices and Algorithmic Bias 4 minutes
2.3 Developing Diverse Data Sets and Promoting Transparency 4 minutes
2.4 Conducting Regular Auditing 4 minutes
2.5 Adhere to Ethical AI Frameworks 4 minutes
2.6 The Role of Stakeholders 4 minutes

3 readings Total 30 minutes

Hands On 1 10 minutes
Hands On 2 10 minutes
Hands On 3 10 minutes

1 assignment Total 30 minutes

Quiz 2 30 minutes

1 plugin Total 15 minutes

eBook: Module 2: Bias and Fairness in AI 15 minutes

What's included

11 videos1 reading1 assignment1 plugin

11 videos Total 170 minutes

AudioBook: Module 3: Transparency and Explainable AI 77 minutes
Podcast: Module 3: Transparency and Explainable AI 51 minutes
3.1 Importance and Pillars of Transparent AI Systems 4 minutes
3.2 Key Techniques: Simplified Visualizations 5 minutes
3.3 Key Techniques: Use Case Examples 5 minutes
3.4 Key Techniques: Layered Explanations 5 minutes
3.5 Key Techniques: Interactive Demonstrations 3 minutes
3.6 Key Techniques: Tailored Communication 4 minutes
3.7 AI Ethics Simulator and Fairness in Machine Learning 4 minutes
3.8 Privacy-Preserving AI Models and AI for Social Good 5 minutes
3.9 Explainable AI 5 minutes

1 reading Total 10 minutes

Hands On 1 10 minutes

1 assignment Total 30 minutes

Quiz 3 30 minutes

1 plugin Total 15 minutes

eBook: Module 3: Transparency and Explainable AI 15 minutes

What's included

11 videos1 reading1 assignment1 plugin

11 videos Total 143 minutes

AudioBook: Module 4: Privacy and Security Issues in AI 59 minutes
Podcast: Module 4: Privacy and Security Issues in AI 47 minutes
4.1 Data Collection and Consent 4 minutes
4.2 Surveillance and Monitoring 5 minutes
4.3 Data Security and Breaches 4 minutes
4.4 Real-life Examples of Data Breaches in AI 5 minutes
4.5 Algorithmic Transparency and Accountability 3 minutes
4.6 Strategies for Securing AI Systems and Data 4 minutes
4.7 Robust Encryption, Access Control, and Security Audits for Compliance 4 minutes
4.8 Advanced Threat Detection and Ethical AI Development 4 minutes
4.9 Continuous Education and Training 4 minutes

1 reading Total 10 minutes

Hands On 1 10 minutes

1 assignment Total 30 minutes

Quiz 4 30 minutes

1 plugin Total 15 minutes

eBook: Module 4: Privacy and Security Issues in AI 15 minutes

What's included

10 videos1 reading1 assignment1 plugin

10 videos Total 151 minutes

AudioBook: Module 5: Accountability and Responsibility 72 minutes
Podcast: Module 5: Accountability and Responsibility 47 minutes
5.1 Transparency 5 minutes
5.2 Compliance with Legal and Ethical Standards 4 minutes
5.3 Auditability and Reporting 5 minutes
5.4 Ethical AI Development 4 minutes
5.5 Data Privacy and Protection 4 minutes
5.6 Transparency and Explainability 3 minutes
5.7 Continuous Learning and Improvement 5 minutes
5.8 Stakeholder Engagement and Ethical Practices 3 minutes

1 reading Total 10 minutes

Hands On 1 10 minutes

1 assignment Total 30 minutes

Quiz 5 30 minutes

1 plugin Total 15 minutes

eBook: Module 5: Accountability and Responsibility 15 minutes

What's included

9 videos1 reading1 assignment1 plugin

9 videos Total 144 minutes

Audiobook: Module 6: Legal and Regulatory Issues 62 minutes
Podcast: Module 6: Legal and Regulatory Issues 45 minutes
6.1 AI Legal Frameworks: EU and US 5 minutes
6.2 AI Legal Frameworks: UK and China 5 minutes
6.3 AI Ethics, Privacy, and Intellectual Property 5 minutes
6.4 AI Governance, Surveillance, and Autonomy 5 minutes
6.5 AI in Society: Workforce, Standards, and Impact 6 minutes
6.6 AI Platforms for Compliance: IBM Watson, Google AI, and Salesforce 5 minutes
6.7 Frameworks for Responsible AI: PwC Toolkit and FICO Workbench 5 minutes

1 reading Total 10 minutes

Hands On 1 10 minutes

1 assignment Total 30 minutes

Quiz 6 30 minutes

1 plugin Total 15 minutes

eBook: Module 6: Legal and Regulatory Issues 15 minutes

What's included

12 videos1 reading1 assignment1 plugin

12 videos Total 142 minutes

AudioBook: Module 7: Ethical Decision Making Frameworks 57 minutes
Podcast: Module 7: Ethical Decision Making Frameworks 45 minutes
7.1 IEEE's Ethically Aligned Design and Asilomar AI Principles 5 minutes
7.2 EU Guidelines for Trustworthy AI and Google’s AI Principles 4 minutes
7.3 IBM Watson Health 4 minutes
7.4 Microsoft’s AI for Accessibility 4 minutes
7.5 DeepMind’s AI for Energy 4 minutes
7.6 Autonomous Vehicles (Waymo, Tesla) 3 minutes
7.7 Facial Recognition (IBM, Amazon) 4 minutes
7.8 Google’s Project Maven Withdrawal 4 minutes
7.9 Open AI Gym and Moral Machine by MIT 4 minutes
7.10 NetLogo , Shadow Health, and The Ethics Game 4 minutes

1 reading Total 10 minutes

Hands On 1 10 minutes

1 assignment Total 30 minutes

Quiz 7 30 minutes

1 plugin Total 15 minutes

eBooks: Module 7: Ethical Decision Making Frameworks 15 minutes

What's included

9 videos1 assignment1 plugin

9 videos Total 135 minutes

AudioBook: Module 8: AI Governance and Best Practices 62 minutes
Podcast: Module 8: AI Governance and Best Practices 36 minutes
8.1 Principles of International AI Governance 6 minutes
8.2 Functions of International AI Governance 5 minutes
8.3 Executive Commitment, Dedicated Ethics Teams, and Ethics Framework 6 minutes
8.4 Ethics by Design, Regular Training, and Transparency and Explainability 6 minutes
8.5 Google’s AI Principles (2018) and EU’s GDPR 6 minutes
8.6 Facial Recognition Bans (Various Cities), AI Ethics Board Disbandment (Facebook) 5 minutes
8.7 Singapore’s Model AI Governance Framework (2019) 4 minutes

1 assignment Total 30 minutes

Quiz 8 30 minutes

1 plugin Total 15 minutes

eBook: Module 8: AI Governance and Best Practices 15 minutes

What's included

12 videos1 assignment1 plugin

12 videos Total 161 minutes

AudioBook: Module 9: Global AI Ethics Standards 60 minutes
Podcast: Module 9: Global AI Ethics Standards 63 minutes
9.1 Introduction to Global AI Ethics Standards 4 minutes
9.2 Explore Standards: IEEE’s Ethically Aligned Design 3 minutes
9.3 Overview of Comparative AI Ethics Standards 3 minutes
9.4 AI Ethics Standards: USA vs. Europe 4 minutes
9.5 AI Ethics Standards: China vs. Africa 4 minutes
9.6 AI Fairness 360 (AIF360)  and Model Cards  4 minutes
9.7 TensorFlow Privacy  and OpenAI Gym  4 minutes
9.8 ISO/IEC JTC 1/SC 42  and Partnership on AI  4 minutes
9.9 EU AI Act & Ethics Guidelines 4 minutes
Course Summary 5 minutes

1 assignment Total 30 minutes

Quiz 9 30 minutes

1 plugin Total 15 minutes

eBook: Module 9: Global AI Ethics Standards 15 minutes

Instructor

AI CERTs Team

AI CERTs

56 Courses 25,433 learners

Offered by

AI CERTs

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Frequently asked questions

No. The course is designed for professionals from any discipline. You’ll learn ethical concepts and tools without coding requirements.

Yes. You’ll work with leading frameworks like AI Fairness 360, AI Explainability 360, andAI4People, and global governance standards.

Highly practical. You’ll analyze real-world case studies, assess ethical risks, and apply governance frameworks used by modern organizations.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

Responsible AI Principles

Responsible AI Principles

What you'll learn

Skills you'll gain

Details to know

See how employees at top companies are mastering in-demand skills

There are 9 modules in this course

Module 1: Overview of AI Ethics and Societal Impact

What's included

Module 2: Bias and Fairness in AI

What's included

Module 3: Transparency and Explainable AI

What's included

Module 4: Privacy and Security Issues in AI

What's included

Module 5: Accountability and Responsibility

What's included

Module 6: Legal and Regulatory Issues

What's included

Module 7: Ethical Decision Making Frameworks

What's included

Module 8: AI Governance and Best Practices

What's included

Module 9: Global AI Ethics Standards

What's included

Instructor

Offered by

Explore more from Machine Learning

Responsible AI - Principles and Ethical Considerations

Trustworthy AI: Managing Bias, Ethics, and Accountability

AI Ethics

Responsible AI: Transparency & Ethics

Why people choose Coursera for their career

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.

Open new doors with Coursera Plus

Advance your career with an online degree

Join over 3,400 global companies that choose Coursera for Business

Frequently asked questions

1. Do I need a technical background to study AI ethics?

2. Will I learn to use real AI ethics tools?

3. How practical is this certification?

More questions