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Ethical Principles for Conversational AI (LFS118) Course Overview

Ethical Principles for Conversational AI (LFS118) Course Overview

This course discusses the use and value of voice technology to provide access to the digital world and bring tangible improvements to people’s lives along with the impact and ethical challenges of conversational/voice AI. The design principles and frameworks that create value as well as help avoid potential harm as humans interact with conversational/voice experiences will also be covered. The course will also explore the ethical issues and impact of conversational/voice AI on privacy, data collection, children and other vulnerable users, especially as it relates to cultural biases. This course offers practical guidance on the values to be promoted, rights to be respected, and measures to be taken for successful, ethical voice AI conversations.

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Course Prerequisites

Prerequisites for the Ethical Principles for Conversational AI (LFS118) Course

This course is designed to be accessible to all learners, and it does not have any formal prerequisites. However, to ensure you gain the most from the course, you may find the following foundational knowledge beneficial:


  • Basic familiarity with artificial intelligence (AI) concepts: Although not mandatory, having a basic understanding of AI will help you grasp the topics more efficiently.
  • General understanding of technology and computing: A basic knowledge of how technology and computing systems work can be advantageous when discussing voice and conversational AI.
  • Interest in ethical considerations related to technology: Having a genuine interest in the ethical implications of AI and technology will make the course more engaging and meaningful.

Feel free to join the course even if you don't have this background knowledge; the course is designed to provide a comprehensive introduction to the ethical principles surrounding conversational AI.


Data and AI Fundamentals (LFS115x)
PyTorch and Deep Learning for Decision Makers (LFS116)
Ethical Principles for Conversational AI (LFS118)

Target Audience for Ethical Principles for Conversational AI (LFS118)

Introduction: Ethical Principles for Conversational AI (LFS118) is essential for professionals interested in learning about the ethical challenges and frameworks necessary for responsible AI interactions.


Target Audience:


  • Data Scientists


  • AI Researchers


  • Machine Learning Engineers


  • Software Developers


  • IT Managers


  • Product Managers


  • Ethics Officers


  • Compliance Specialists


  • UX/UI Designers


  • Digital Transformation Consultants


  • Technology Policy Makers


  • Academics and Researchers in AI and Ethics


  • Customer Experience Managers


  • Natural Language Processing (NLP) Specialists


  • Human-Computer Interaction (HCI) Experts




Learning Objectives - What you will Learn in this Ethical Principles for Conversational AI (LFS118)?

Introduction: The Ethical Principles for Conversational AI (LFS118) course focuses on the ethical implications and challenges of conversational/voice AI technology. It provides principles and frameworks to ensure responsible and trustworthy use of AI in human-device interactions.

Learning Objectives and Outcomes:

  • Understanding Conversational/Voice AI:

    • Define and explain the basic concepts of conversational and voice AI.
    • Identify the various applications and use cases of voice AI technology.

  • Benefits and Risks of Conversational/Voice AI:

    • Assess the benefits that conversational AI brings to different industries and everyday life.
    • Recognize and evaluate the potential risks and ethical concerns associated with conversational AI.

  • Voice Data Analysis:

    • Understand the fundamentals of voice data analysis and how it is used in AI.
    • Learn about the privacy concerns and data security measures associated with voice data.

  • Ethical Framework for Trustworthy Experiences:

    • Explore different ethical principles and frameworks that guide the development and deployment of conversational AI.
    • Apply these frameworks to ensure the creation of trustworthy and responsible AI solutions.

  • The TrustMark Initiative of the Open Voice Network:

    • Learn about the TrustMark Initiative and its role in promoting ethical

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