Responsible Automated Intelligence (AI) Ethics Fundamentals

Responsible Automated Intelligence (AI) Ethics Fundamentals, available at Free, has an average rating of 2.5, with 31 lectures, based on 1 reviews, and has 1004 subscribers.

You will learn about 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 This course is ideal for individuals who are You want to ensure you understand what AI Ethics is really about. or You want to understand how to get started with Responsible AI Ethics principals or You want to understand the best practices for AI Data Collection or Get enabled to take more advanced AI courses. or You’re interested in use cases for AI Tools for Ethics or You want to understand what Bias means and how AI systems should handle this. It is particularly useful for You want to ensure you understand what AI Ethics is really about. or You want to understand how to get started with Responsible AI Ethics principals or You want to understand the best practices for AI Data Collection or Get enabled to take more advanced AI courses. or You’re interested in use cases for AI Tools for Ethics or You want to understand what Bias means and how AI systems should handle this.

Enroll now: Responsible Automated Intelligence (AI) Ethics Fundamentals

Summary

Title: Responsible Automated Intelligence (AI) Ethics Fundamentals

Price: Free

Average Rating: 2.5

Number of Lectures: 31

Number of Published Lectures: 31

Number of Curriculum Items: 31

Number of Published Curriculum Objects: 31

Original Price: Free

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

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.

Target Audiences

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.

Learn about the importance of Ethics in AI and the role of Responsible AIin 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 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 – Whats 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 lets get started with course and learn about AI Ethics!

Course Curriculum

Chapter 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

Chapter 2: Module 1 – Introduction to AI Ethics

Lecture 1: Introduction to AI Ethics

Lecture 2: Understanding AI Ethics

Lecture 3: Ethical Frameworks and Principles in AI

Lecture 4: Ethical Challenges

Lecture 5: Whiteboard Discussion- Key Principles of Responsible AI

Chapter 3: Module 2 – Responsible AI Development

Lecture 1: Module 2 – Responsible AI Development

Lecture 2: Responsible AI Development

Lecture 3: Bias and Fairness in AI

Lecture 4: Demonstration – Microsoft Responsible AI

Lecture 5: Accountability and Governance in AI

Chapter 4: Module 3 – Privacy and Security in AI

Lecture 1: Privacy and Security in AI

Lecture 2: Data Collection and Usage

Lecture 3: Risks and Mitigation Strategies

Lecture 4: Ethical Data Management in AI

Lecture 5: Demonstration – Examples of Privacy EUL

Chapter 5: Module 4 – Social and Ethical Impacts of AI

Lecture 1: Social and Ethical Impacts of AI

Lecture 2: Automation and Job Displacement

Lecture 3: AI and Social Good

Lecture 4: Demonstration – ChatGPT

Lecture 5: Demonstration – Bard

Chapter 6: Module 5 – Policy Development

Lecture 1: Policy Development

Lecture 2: Ethical AI Leadership Culture

Lecture 3: Ethical AI Policy Elements

Lecture 4: Ethical AI in a Changing Landscape

Lecture 5: Ethical AI in a Changing Landscape

Lecture 6: Course Summary Review

Lecture 7: Course Closeout

Instructors

Joseph Holbrook (The Cloud Tech Guy)
Cloud Computing and Blockchain Architect/Blogger/Trainer

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