AI Chatbot Ethics: Building Trust in Business
Learn to navigate ethical challenges in AI-powered chatbots, focusing on bias, fairness, data privacy, and consent in modern business applications.
Learn to navigate ethical challenges in AI-powered chatbots, focusing on bias, fairness, data privacy, and consent in modern business applications.
Explore the ethical landscape of AI-powered chatbots in this comprehensive course. Dive into the evolution of chatbots and their current applications in business. Learn to recognize and address ethical implications, including bias, fairness, data privacy, and consent issues. Through a blend of theory and real-world examples, you'll gain the skills to make informed decisions when interacting with or implementing AI solutions. Ideal for professionals and enthusiasts alike, this course equips you to confidently navigate the complex ethical terrain of AI chatbots in both personal and professional contexts.
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What you'll learn
Describe the roots and evolution of AI chatbots in modern business
Demonstrate the importance of ethics in technology, specifically in 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
Navigate complex ethical issues surrounding AI-powered chatbots
Make meaningful choices when interacting with AI or choosing AI-powered business solutions
Skills you'll gain
This course includes:
63 Minutes PreRecorded video
1 assignment
Access on Mobile, Tablet, Desktop
FullTime access
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There is 1 module in this course
This course provides a comprehensive exploration of ethical considerations in AI-powered chatbots. It begins by tracing the evolution of chatbots, equipping learners with an understanding of their incremental improvements. The course then delves into the ethical implications of chatbot usage, focusing on critical aspects such as bias, fairness, data privacy, and consent. Through a blend of theoretical concepts and real-world examples, learners will examine the AI-powered landscape and prepare for current and future ethical challenges. The curriculum covers topics like the origins of bias in AI models, strategies for reducing bias, the "black-box" problem in AI decision-making, and establishing trust and accountability in AI systems. By the end of the course, participants will be well-prepared to navigate complex ethical issues surrounding AI-powered chatbots and make informed decisions in both personal and professional contexts.
Building Trust: Ethical Considerations for AI Chatbots
Module 1 · 2 Hours to complete
Fee Structure
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Instructor
Distinguished Agile Expert and Leadership Development Coach
Kelley O'Connell brings over 25 years of experience in Project and Program Management, establishing herself as an internationally recognized Agile expert and business leader. As an author and trainer, she has published multiple works including a book and more than a dozen courses on LinkedIn Learning. Her expertise spans leading Software Development and Operations teams through multi-million-dollar initiatives. At Starweaver and Coursera Project Network, she teaches comprehensive courses including AI for Project Managers, Agile Leadership for Distributed Teams, and Business Ethics. Her course portfolio reflects current industry trends, covering topics from GenAI implementation to workflow management and value stream mapping. Her teaching approach emphasizes practical application of Agile principles, helping organizations transform through knowledge and empowerment. Her expertise in both traditional project management and Agile methodologies makes her a sought-after speaker, trainer, and coach, with a devoted global following. Her courses consistently receive high ratings, demonstrating her ability to effectively communicate complex concepts to diverse audiences.
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