• views: 241
• date: 17 February 2025
• posted by: AD-TEAM

Overview of AI ethics and integration of AI ethics at the design phase of applications

What you'll learn

Understand AI Ethics and AI ethics by design .

Determine Requirements Engineering for AI ethics by design: Techniques and Methods.

Determine design and testing techniques for AI ethics by design.

Conduct a case study and real-world applications.

Requirements

There are no requirements necessary for this course.

Description

AI is one of the fastest growing and controversial subject in the technology sector, in the attempt to make the most sophisticated AI models possible, ethics may fall by the wayside. A lack of ethics could cause a cacophony of problems, for example without considering fairness as well as bias in an AI model or application potential users may decide not to use your AI system, furthermore it may end up undermining the effectiveness of your application if bias causes incorrect results. Even when ethics is considered before the release of the model and system, if ethics is not integrated into the AI model from the beginning there may be issues that could have otherwise been avoided.This course written by Prof. Muthu Ramachandran describes the field of AI ethics and what you can do to integrate ethics into the design phase of your AI systems.Course content: Lesson 1 - Introduction to AI, Ethics, AI Ethics & AI Ethics By DesignLesson 2 - Ethical Considerations in Requirements Engineering for AILesson 3 - Ethical Design, Development and Testing for AI SystemsLesson 4 - Future Directions and Emerging Ethical ChallengesEach lesson/section consists of video lectures as well as multiple choice questions at the end of each lesson to test your understanding.*Disclaimer - This course uses AI text-to-speech software (transcripts are written by Prof Muthu Ramachandran)*

Overview

Section 1: Lesson 1 - Introduction to AI, Ethics, AI Ethics & AI Ethics By Design

Lecture 1 Introduction AI Ethics By Design Course

Lecture 2 1.1 - 1.2 What is AI & Concerns of AI

Lecture 3 1.3 What is meant by ethics

Lecture 4 1.4 Introduction to AI Ethics

Lecture 5 1.5 Key Principles of AI Ethics

Lecture 6 1.6 Key Principles of AI Ethics By Design

Section 2: Lesson 2 - Ethical Considerations in Requirements Engineering for AI

Lecture 7 2.1 Integrated Approach to AI Ethics By Design

Lecture 8 2.2 Requirements Engineering for AI

Lecture 9 2.3 AI Quality Requirements & AI Ethics Guidelines

Section 3: Lesson 3 - Ethical Design, Development and Testing for AI Systems

Lecture 10 3.1 Design, Development, and Testing of AI Ethics By Design

Lecture 11 3.2 Design Phase & AI Reference Architecture with BPMN modelling & Simulation

Lecture 12 3.3 Best Practice Development Techniques for AI Ethics By Design

Lecture 13 3.4 Best Practices on Testing and Continuous Integration for AI Ethics By Design

Section 4: Lesson 4 - Future Directions and Emerging Ethical Challenges

Lecture 14 4.1 Introduction to Emerging Ethical Challenges

Lecture 15 4.2 Ongoing Research and Initiatives in AI Ethics and AI Ethics By Design

Lecture 16 4.3 Standards & Regulations of AI Ethics & AI Ethics By Design

Those interested in integrating ethical considerations into their AI systems.




   
   
   

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