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  1. Courses
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  3. Building Trust: Ethics for AI-powered Chatbots

Building Trust: Ethics for AI-powered Chatbots

This course will take the learner through the evolution of chatbots, so they are equipped with an appropriate sense of incremental improvements.

Kelley OConnell
Kelley OConnell
Data Science | core | 1 hour 30 minutes |   Published: Nov 2023
In partnership with: Coursera

    Discussions

Overview

1KSTUDENTS*
96%RECOMMEND*

This course includes:

  • 1.5 hours of on-demand video  
  • Certificate of completion  
  • Direct access/chat with the instructor 
  • 100% self-paced online 

Many organizations with websites are using chatbots to engage with customers.  While this strategy has proved profitable and efficient, there are ethical issues that can arise if users are unaware that their interaction is with an AI bot, and not a human.   This course will take the learner through the evolution of chatbots, so they are equipped with an appropriate sense of incremental improvements.  Next, the course will guide the learners to recognize the ethical implications of chatbot usage from the perspectives of bias, fairness, data privacy and consent.  Through a blend of theory, real-world examples, and opportunities for thought and reflection, learners will examine the AI-powered world in which we live and prepare for current and future ethical challenges they present.

Skills You Will Gain

AI
AI assistant
AI in Marketing
AI Recommendations
AI-Powered Decision Making
Artificial Intelligence

Learning Outcomes (At The End Of This Program, You Will Be Able To...)

  • Describe the roots and evolution of AI chatbots in modern business so the learner can assess current applications and use cases.
  • Demonstrate the importance of ethics in technology and, specifically, in the application of AI Chatbots.
  • Assess the current state of data privacy, consent, and transparency in modern business AI implementations.
  • Illustrate the significance of bias and fairness in AI-powered chatbots.
  • Evaluate the transparency and accountability of AI-powered technology when they encounter it. 

Prerequisites

Learners should ideally possess the following prerequisite skills: basic technological proficiency; critical thinking; open-mindedness; and an active learning mindset.

Who Should Attend

This program is designed for anyone who is interested in AI-powered chatbots and their ability to appraise their interactions with this technology.

Curriculum

Instructors

*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.
Kelley OConnell

Kelley OConnell

Kelley is a private consultant specializing in agile transformation, training, and coaching, with over two decades of experience in the field. As an Agile Certified Practitioner (PMI-ACP) and a Scaled Program Consultant (SPC) with SAFe, she is dedicated to helping organizations of all sizes achieve their goals. Kelley's expertise lies in leading software development and operations teams toward success. Additionally, she is an internationally recognized author, having written numerous titles on agile methodologies, Scrum, Kanban, and agile leadership. Her passion for sharing knowledge has made her a sought-after speaker, trainer, and coach on the global stage. Through her work, Kelley aims to empower individuals and organizations by fostering a culture of continuous improvement and agility. Based in Chicago, Illinois, she invites learners of all levels—whether seasoned professionals or newcomers—to join her on a journey of learning and growth. Kelley's courses on agile fundamentals and related topics provide the tools and insights necessary to thrive in today’s dynamic business landscape.
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1Module 0 - Introduction to AI-Powered Chatbots
2Module 1 - The Importance of Ethics in AI
3Module 2 - Data Privacy and Consent
4Module 3 - Bias and Fairness
5Module 4 - Transparency and Accountability

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Segment 10 - Origins of Bias in AI Models

Segment 11 - Consequences of Biased Chatbots

Segment 12 - Strategies for Reducing Bias in Chatbots

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Segment 01 - Introduction to the course and instructor

Segment 02 - Evolution of AI Chatbots

Segment 03 - Current Applications and Use Cases

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Segment 13 - The Black-Box Problem How Chatbots Make Decisions

Segment 14 - Establishing Trust and Accountability in AI Systems

Segment 15 - Guidelines and Standards

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Segment 07 - Data Collection

Segment 08 - Ensuring User Consent

Segment 09 - Anonymization and Data Protection

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Segment 04 - Defining Technical Ethics

Segment 05 - Why AI Ethics Matter - The Broader Implications

Segment 06 - Continuous Monitoring