Responsible Automated Intelligence (AI) Ethics Fundamentals
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
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 ResourcesModule 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 AIModule 3 - Privacy and Security in AI
Data Collection and Usage
Risks and Mitigation Strategies
Ethical Data Management in AI
Demonstration - Examples of Privacy EULModule 4 - Social and Ethical Impacts of AI
Automation and Job Displacement
AI and Social Good
Demonstration - ChatGPT
Demonstration - BardModule 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.
Instructor
- 4.2 Instructor Rating
- 5,458 Reviews
- 143,094 Students
- 50 Courses
Joe, based in Jacksonville, Florida, is the owner of Digital Crest Institute/Techcommanders. He has lived and worked in cities, including Boston, San Jose, San Diego, Washington, DC, and Charleston, SC.
As an avid traveler, Joe has visited over 30 countries. He is married with one child, a passionate hockey enthusiast, and enjoys spending time at the beach.
Joe has been involved in the field since 1993, beginning with exposure to several HP Unix systems on a US Navy flagship. He transitioned from the UNIX domain to Storage Networking (SAN), Enterprise Virtualization, and Cloud Architectures. Throughout his career, he has worked for numerous organizations in various roles, including professional services, presales engineering, and sales engineering, for companies such as SAIC, 3PAR Data, Brocade, HP, EMC, Northrop Grumman, Chematch, Signature Consultants, Vion, Global Knowledge, Dimension Data, and Booz Allen Hamilton (BAH).