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 important.In the course we provide both insight and demonstrations to get you 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 principals and implementation.Expected Learning OutcomesAt the end of the course, the learners will be able to be acquainted with the following.Understanding Ethics and Its Importance in AIEthical Frameworks and Principles in AIEthical Challenges in AI DevelopmentBias and Fairness in AITransparency in AIAccountability and Governance in AIPrivacy Issues in AI: Data Collection and UsageSecuring AI Systems: Risks and Mitigation StrategiesEthical Data Management in AIAI and the Workforce: Automation and Job DisplacementEthical AI Leadership and Organizational CultureAI and Social Good: Leveraging AI for Positive ImpactEthical AI PolicyAdvocating for Ethical AI Policy and RegulationEthical Considerations in AI Research and DevelopmentEthical AI Policy and Future DirectionsWelcome to the CourseCourse LessonsCourse WelcomeInstructor IntroductionDownload Course ResourcesModule 1 - Introduction to AI EthicsUnderstanding AI EthicsEthical Frameworks and Principles in AIEthical ChallengesWhiteboard - Key Principles of Responsible AIModule 2 - Responsible AI DevelopmentResponsible AI DevelopmentBias and Fairness in AITransparency in AIDemonstration - Microsoft Responsible AIAccountability and Governance in AIModule 3 - Privacy and Security in AIData Collection and UsageRisks and Mitigation StrategiesEthical Data Management in AIDemonstration - Examples of Privacy EULModule 4 - Social and Ethical Impacts of AIAutomation and Job DisplacementAI and Social GoodDemonstration - ChatGPTDemonstration - BardModule 5 - Policy DevelopmentEthical AI Leadership CultureEthical AI Policy ElementsEthical AI in a Changing LandscapeCourse ReviewCourse CloseoutCourse Contents - Whats included with the course?Course Presentation (pdf)Companion Ebook and Study Guide (pdf)Course Resource List (pdf)Certification of CompletionAI 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 lets get started with course and learn about AI Ethics!

Overview
Section 1: Introduction

Lecture 1 Course Trailer Responsible AI Ethics Fundamentals

Lecture 2 Welcome To the Course!

Lecture 3 Instructor Overview

Lecture 4 Please download Course Content

Section 2: Module 1 - Introduction to AI Ethics

Lecture 5 Introduction to AI Ethics

Lecture 6 Understanding AI Ethics

Lecture 7 Ethical Frameworks and Principles in AI

Lecture 8 Ethical Challenges

Lecture 9 Whiteboard Discussion- Key Principles of Responsible AI

Section 3: Module 2 - Responsible AI Development

Lecture 10 Module 2 - Responsible AI Development

Lecture 11 Responsible AI Development

Lecture 12 Bias and Fairness in AI

Lecture 13 Demonstration - Microsoft Responsible AI

Lecture 14 Accountability and Governance in AI

Section 4: Module 3 - Privacy and Security in AI

Lecture 15 Privacy and Security in AI

Lecture 16 Data Collection and Usage

Lecture 17 Risks and Mitigation Strategies

Lecture 18 Ethical Data Management in AI

Lecture 19 Demonstration - Examples of Privacy EUL

Section 5: Module 4 - Social and Ethical Impacts of AI

Lecture 20 Social and Ethical Impacts of AI

Lecture 21 Automation and Job Displacement

Lecture 22 AI and Social Good

Lecture 23 Demonstration - ChatGPT

Lecture 24 Demonstration - Bard

Section 6: Module 5 - Policy Development

Lecture 25 Policy Development

Lecture 26 Ethical AI Leadership Culture

Lecture 27 Ethical AI Policy Elements

Lecture 28 Ethical AI in a Changing Landscape

Lecture 29 Ethical AI in a Changing Landscape

Lecture 30 Course Summary Review

Lecture 31 Course Closeout

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.

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