Responsible Automated Intelligence (AI) Ethics Fundamentals

Name: Responsible Automated Intelligence (AI) Ethics Fundamentals
Rating: 4.8 (4 reviews)

Discover and Learn about the practices for AI Ethics, Governance and why Responsible AI is so important!

Created byJoseph Holbrook

Last updated 7/2025

English

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What you'll learn

Understanding Ethics and Its Importance in AI
Ethical Frameworks and Principles in AI
Ethical Challenges in AI Development
Bias and Fairness in AI
Transparency in AI
Accountability and Governance in AI
Privacy Issues in AI: Data Collection and Usage
Securing AI Systems: Risks and Mitigation Strategies
Ethical Data Management in AI
AI and the Workforce: Automation and Job Displacement
Ethical AI Leadership and Organizational Culture
AI and Social Good: Leveraging AI for Positive Impact
Ethical AI Policy
Advocating for Ethical AI Policy and Regulation
Ethical Considerations in AI Research and Development
Ethical AI Policy and Future Directions

Course content

6 sections • 30 lectures • 1h 38m total length

Course Trailer Responsible AI Ethics Fundamentals1:00
Explore responsible automated intelligence and AI ethics, learning to minimize bias, maximize fairness and explainability, and enable human accountability for an ethical future in organizations.
Welcome To the Course!3:50
Explore responsible AI frameworks, bias and fairness, transparency, privacy and security, data management, and policy development to implement ethical, compliant AI governance for organizations.
Instructor Overview0:29
Meet your instructor, Joe Holbrook, a 25-year industry veteran, CFO of Tech Commanders, a renowned content creator, author, and technical trainer for the responsible ai ethics fundamentals course.
Please download Course Content0:19
Download the course content to access the full presentation, course book, and resource guide, and start covering the essentials of responsible AI ethics.

Introduction to AI Ethics0:48
Explore the importance and fundamentals of AI ethics, and learn how frameworks and challenges guide organizations in applying responsible AI.
Understanding AI Ethics12:36
Explains AI ethics, fairness, accountability, and rights in automated systems; highlights bias, privacy, and data governance, and emphasizes trust through transparent, compliant practice.
Ethical Frameworks and Principles in AI3:17
Explore ethical frameworks and principles shaping responsible ai, including OECD's ai stewardship and EU guidelines, with human agency, oversight, transparency, explainability, safety, and privacy.
Ethical Challenges9:50
Whiteboard Discussion- Key Principles of Responsible AI9:34
Module One Review Quiz

Module 2 - Responsible AI Development0:54
Domain Two: AI Ethics Foundational Concepts

This module lays the essential groundwork for ethical AI practice, dedicating 20% of the course to building a robust conceptual understanding. You will begin by Defining AI Ethics and mastering the Core AI Ethical Principles and Key AI Ethical Frameworks that drive Responsible AI Ethics and Governance, including an in-depth look at the Seven C's of AI. We will critically analyze the potential for harm by identifying Sources of AI Bias, exploring the Ethical Challenges during development and deployment, and considering the broad Moral and Social Implications, such as the impact of AI and Job Displacement. Crucially, you will gain practical knowledge on the Principles of Ethical Development and Deployment, understand the Role of an AI Ethics Officer—including their Roles and Responsibilities in Creating Ethical Policies, Frameworks and Practices—and learn how to establish effective Ethical Review Boards and Committees to ensure Ethical AI in a Changing Landscape.
Responsible AI Development2:31
Develop a holistic, responsible ai strategy that protects organizations and users by addressing ethical, governance, and legal concerns before designing, deploying, and managing ai systems, with adaptability for future change.
Bias and Fairness in AI6:33
Explore bias and fairness in ai, identify causes from data, models, and sources, and implement transparent, auditable frameworks to ensure inclusive, holistic, and fair decisions across industries.
Demonstration - Microsoft Responsible AI3:26
Explore Microsoft ai resources, including a workbook, fairness checklist, dashboard, and toolkit, to guide ethical ai development, data exploration, and assessments for your development team.
Accountability and Governance in AI1:54
Module Two Quiz

Privacy and Security in AI0:37
Explore privacy and security in AI by examining data collection, usage, risks, mitigation strategies, ethical data management across the lifecycle, governance, and an AI end-user license demonstration.
Data Collection and Usage3:09
examine how AI systems collect personal data like addresses, demographics, and even facial recognition data, and implement strong security and privacy practices with legal review to preserve user trust.
Risks and Mitigation Strategies4:16
Identify potential risks, including data exposure, from privacy to security threats, and implement an RMF with training, privacy programs, and end-user agreements, aligned to ISO and NIST guidance.
Ethical Data Management in AI1:49
Demonstration - Examples of Privacy EUL4:47
The demonstration reviews ChatGPT’s privacy policy and end user license agreement, showing personal data is accessible if provided, and that data may be collected and stored per OpenAI privacy policy.

Module Three Quiz
Social and Ethical Impacts of AI0:21
Automation and Job Displacement3:03
AI and Social Good1:47
Explore how responsible artificial intelligence can advance social good by applying it to health care, human rights, environment, and crisis response, while addressing misuse like defamation or copyright violations.
Demonstration - ChatGPT7:28
Demonstrate how to use ChatGPT for creative ideas, math problems, and building blog posts, e-books, or JavaScript programs while revealing its capabilities, limits, and bias guardrails.
Demonstration - Bard6:04
Module Four Quiz

Policy Development0:26
Explore policy development by examining ethical leadership, essential policy elements, and how technology shifts shape governance. Conclude with a course review and closeout, preparing learners for the module's upcoming lessons.
Ethical AI Leadership Culture2:24
Lead with ethical AI leadership by embracing six steps to leverage AI as a tool for opportunity, foster innovation, and build a data-driven, diverse, inclusive, and responsible culture.
Ethical AI Policy Elements1:39
Ethical AI in a Changing Landscape1:24
Explore how rapid tech change shapes ethical ai, including nlp, collaboration, and how human input affects output, while evaluating ethics, transparency, privacy, and organizational adaptation.
Course Summary Review1:34
Explore what AI is, why it matters, and how the principles of AI ethics serve as a roadmap for responsible AI development, governance, transparency, and bias reduction to benefit communities.
Module Five Quiz
Course Closeout0:18
Celebrate completing the responsible ai ethics fundamentals course. Extend our thanks for joining and wish you success in your career and life.

Requirements

A ChatGPT or Bard account that you can use to follow along and get started with using AI tools. Note: Some tools we cover in this course may require a subscription to use full features and functionality.

Description

Learn about the importance of Ethics in AI and the role of Responsible AI in your organization.

(Beginner) This course has been designed for business professionals needing a well-rounded introduction to Ethics for Automated Intelligence (AI) and why Responsible AI is essential.

In the course, we provide both insights and demonstrations to help you get started on your roadmap for ensuring Ethics in your AI projects.

AI Ethics is a system of moral principles and techniques intended to guide the development and responsible use of Artificial Intelligence (AI) technology.

Responsible AI is a set of documentation used in an organization to ensure that AI is used in a “responsible” framework with pre-defined principles, ethics, and rules to govern AI.

This course will guide you through the importance of Automated Intelligence (AI) Ethics with a focus on Responsible AI principles and implementation.

Expected Learning Outcomes

At the end of the course, the learners will be able to be acquainted with the following.
Understanding Ethics and Its Importance in AI
Ethical Frameworks and Principles in AI
Ethical Challenges in AI Development
Bias and Fairness in AI
Transparency in AI
Accountability and Governance in AI
Privacy Issues in AI: Data Collection and Usage
Securing AI Systems: Risks and Mitigation Strategies
Ethical Data Management in AI
AI and the Workforce: Automation and Job Displacement
Ethical AI Leadership and Organizational Culture
AI and Social Good: Leveraging AI for Positive Impact
Ethical AI Policy
Advocating for Ethical AI Policy and Regulation
Ethical Considerations in AI Research and Development
Ethical AI Policy and Future Directions

Welcome to the Course
Course Lessons
Course Welcome
Instructor Introduction
Download Course Resources
Module 1 - Introduction to AI Ethics
Understanding AI Ethics
Ethical Frameworks and Principles in AI
Ethical Challenges
Whiteboard - Key Principles of Responsible AI
Module 2 - Responsible AI Development
Responsible AI Development
Bias and Fairness in AI
Transparency in AI
Demonstration - Microsoft Responsible AI
Accountability and Governance in AI
Module 3 - Privacy and Security in AI
Data Collection and Usage
Risks and Mitigation Strategies
Ethical Data Management in AI
Demonstration - Examples of Privacy EUL
Module 4 - Social and Ethical Impacts of AI
Automation and Job Displacement
AI and Social Good
Demonstration - ChatGPT
Demonstration - Bard
Module 5 - Policy Development
Ethical AI Leadership Culture
Ethical AI Policy Elements
Ethical AI in a Changing Landscape
Course Review
Course Closeout

Course Contents - What's included with the course?

Course Presentation (PDF)
Companion eBook and Study Guide (PDF)
Course Resource List (PDF)
Certification of Completion

AI has the potential to do a lot of good in the world, but it can also be misused. Understanding AI ethics can help you to identify and mitigate potential risks.

So, let's get started with the course and learn about AI Ethics!

Who this course is for:

You want to ensure you understand what AI Ethics is really about.
You want to understand how to get started with Responsible AI Ethics principals
You want to understand the best practices for AI Data Collection
Get enabled to take more advanced AI courses.
You’re interested in use cases for AI Tools for Ethics
You want to understand what Bias means and how AI systems should handle this.

Responsible Automated Intelligence (AI) Ethics Fundamentals

What you'll learn

Explore related topics

Course content

Introduction4 lectures • 6min

Module 1 - Introduction to AI Ethics5 lectures • 36min

Module 2 - Responsible AI Development5 lectures • 15min

Module 3 - Privacy and Security in AI5 lectures • 15min

Module 4 - Social and Ethical Impacts of AI5 lectures • 19min

Module 5 - Policy Development6 lectures • 8min

Requirements

Description

Who this course is for: