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Artificial Intelligence and Machine Learning: Concepts, Applications, and Ethical Consideration, 1st Edition

Shakia Riggins, Baffour Osei

  • Copyright 2027
  • {{checkPublicationMessage('Published', '2026-10-30T00:00:00+0000')}}
Starting At $84.95 See pricing and ISBN options
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Artificial Intelligence and Machine Learning: Concepts, Applications, and Ethical Consideration 1st Edition by Shakia Riggins/Baffour Osei
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Overview

What if students could move beyond simply using AI tools to actually understanding, developing, and deploying them responsibly?

"Artificial Intelligence and Machine Learning" by Riggins and Osei is a complete instructional resource that guides learners from core concepts to the ethical design, development, and deployment of real AI systems. Designed to help students overcome common classroom challenges, including black-box thinking, ethical blind spots, technical barriers, and the gap between theory and practice, it emphasizes Explainable AI, embedded ethics, concept-first mathematics, and flexible pathways from no-code tools to Python.

With a project-build approach, its content engages students in creating a meaningful AI solution across the full development lifecycle. Supported by rich instructor resources, assessments, and case studies, this resource makes AI education accessible, rigorous, and relevant across disciplines.

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Meet the Authors

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Shakia Riggins

Sha’Kia M. Riggins, MSIT is a nationally recognized leader in artificial intelligence education, applied machine learning, and ethical AI implementation. She currently serves as the Dean of Information Technology at Florida State College at Jacksonville (FSCJ), where she leads strategic initiatives that position the institution at the forefront of workforce-aligned AI education. A U.S. Navy veteran and seasoned technologist, Riggins brings more than three decades of experience spanning industry, entrepreneurship, and academia. She is the CEO of Data B.I.T.S., LLC and has been instrumental in establishing FSCJ as an East Coast AI Center of Excellence, developing innovative degree programs, technical certificates, and industry partnerships that expand access to AI education. Riggins is the author of Artificial Intelligence and Machine Learning: Concepts, Applications, and Ethical Considerations (1st Edition), a foundational text that bridges theory, real-world applications, and responsible AI practices. Her work emphasizes ethical frameworks, workforce readiness, and inclusive innovation, and she is frequently sought after by publishers and industry to shape next-generation AI curriculum and learning tools. She serves as a Lead Facilitator for Intel’s Digital Readiness and AI Workforce Programs, helping train educators nationwide, and is an active member of the National Applied AI Consortium for Educators, IEEE, and multiple AI advisory boards. Her collaborations with global industry partners have influenced applied AI education both nationally and internationally. A passionate advocate for mentorship and equity in technology, Riggins is committed to preparing the next generation of AI leaders while ensuring that innovation is guided by ethics, accountability, and social impact.

Baffour Osei

Features

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  • Connect every chapter to a meaningful, real-world outcome through a semester-long AI agent project.
  • Help students identify bias, hallucinations, and flawed outputs with built-in XAI tools and critical auditing exercises.
  • Support business-focused learners with no-code tools, as well as technical students with Python and machine learning.
  • Move beyond the algorithm by teaching students to build, deploy, monitor, and optimize real AI systems from concept to production.
  • Transform AI math from a barrier into a bridge with concept-first explanations that make complex ideas accessible and memorable.
  • Harness AutoML and AI-assisted coding to boost productivity while building programming, debugging, and critical thinking skills.
  • Make computer science concepts stick with interactive videos, visualizations, and practice tools in MindTap that drive greater understanding.
  • Help students explain, analyze, and apply AI responsibly with Applied AI Skill Video Recording Assessments that build AI literacy and career-ready skills.

Table of Contents

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Introduction to Artificial Intelligence
Ethical Impact of AI
Introduction to Machine Learning
Programming for Machine Learning Applications
Data for Machine Learning
Understanding Math Fundamentals for Machine Learning Applications
Computer Vision
Natural Language Processing
Reinforcement Learning
Deep Learning: A Subset of AI and a Key Technology Driving Modern AI Systems
Neural Networks: A Foundational Concept within AI and Central to Machine Learning
Future of AI & Machine Learning

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MindTap Options

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MindTap
Each MindTap product offers the full, mobile-ready textbook combined with superior and proven learning tools at one affordable price. Students who purchase digital access can add a print option at any time when a print option is available for their course.

This Cengage solution can be seamlessly integrated into most Learning Management Systems (Blackboard, Brightspace by D2L, Canvas, Moodle, and more) but does require a different ISBN for access codes. Please work with your Cengage Learning Consultant to ensure the proper course set up and ordering information. For additional information, please visit the LMS Integration site.

Standalone Digital Access — Ultimate Value

Recommended and most popular

  • ISBN-10:
  • ISBN-13: 9798214948287
  • RETAIL $84.95
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Textbook Only Options

Traditional eBook and Print Options

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  • ISBN-10: 8214002206
  • ISBN-13: 9798214002200
  • RETAIL $87.95

  • ISBN-10: 8214002168
  • ISBN-13: 9798214002163
  • RETAIL $314.95
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Supplements

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Cengage provides a range of supplements that are updated in coordination with the main title selection. For more information about these supplements, contact your Learning Consultant.

FOR STUDENTS

MindTap for Riggins/Osei's AI and Machine Learning, 2 terms Instant Access

ISBN: 9798214948287