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AI Ethics By Design
Rating: 4.7 out of 5(11 ratings)
23 students

AI Ethics By Design

Overview of AI ethics and integration of ethics at the design phase of AI models and systems
Created byForti5 Technologies
Last updated 1/2025
English
EnglishEnglish

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.

Course content

4 sections • 16 lectures • 1h 18m total length

  • Introduction AI Ethics By Design Course3:35

    Explore AI ethics by design through four lessons that integrate ethical considerations from requirements through implementation, enabling responsible and fair AI technologies.

  • 1.1 - 1.2 What is AI & Concerns of AI7:32

    Define AI and its three classes—ANI, AGI, ASI—with capabilities and broad applications across healthcare, finance, retail, and transportation, and address concerns such as bias, privacy, job displacement, and accountability.

  • 1.3 What is meant by ethics1:20

    Explore the meaning of ethics as the study of right and wrong. See how honesty, fairness, and responsibility guide conduct and how ethics shapes laws, policies, and AI technologies.

  • 1.4 Introduction to AI Ethics0:49

    Define the moral principles guiding the development and use of artificial intelligence, exploring fairness and bias, privacy, transparency, accountability, and safety through real-world examples.

  • 1.5 Key Principles of AI Ethics5:03

    Explore how ethics guide AI development and use, covering fairness, transparency, privacy, accountability, safety and security, and human-centered values to ensure trustworthy, responsible AI.

  • 1.6 Key Principles of AI Ethics By Design4:43

    Explore artificial intelligence ethics by design through six principles: fairness and non-discrimination, transparency and explainability, privacy and data protection, safety and security, accountability and responsibility, and human-centered values throughout lifecycle.

  • Lesson 1

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 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 Design

Lesson 2 - Ethical Considerations in Requirements Engineering for AI

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

Lesson 4 - Future Directions and Emerging Ethical Challenges


Each 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)*

Who this course is for:

  • Those interested in integrating ethical considerations into their AI systems.

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