S2E7 - AI, Critical Thinking, and Change Management with Professor Mark Price

S2E7 - AI, Critical Thinking, and Change Management with Professor Mark Price

AI, CRITICAL THINKING, AND CHANGE MANAGEMENT WITH PROFESSOR MARK PRICE In this episode of AI in Action, Dr. Sidney Shapiro speaks with Professor Mark Price, Distinguished Service Professor and AI Faculty Lead at the Opus College of Business at the University of St. Thomas. The conversation explores how generative AI is changing business education, executive learning, consulting, analytics, and organizational decision-making. Professor Price discusses why students are adopting AI faster than universities, and why educators need to move beyond traditional content-based assignments toward assessments that develop critical thinking, evaluation, judgment, and adaptability. The episode also examines how organizations can adopt AI more effectively. Professor Price argues that AI should be treated as a change management initiative rather than a technology project. He explains the importance of leadership support, continuous education, AI champions, employee experimentation, and visible cultural reinforcement from senior management. The discussion also covers AI-resistant assignments, AI-assisted analytics, executive education, shadow AI, prompt workflows, ethical risks, security concerns, agentic AI, and the future of work. Professor Price highlights the need for students and professionals to build intellectual resilience, learn continuously, and develop the ability to evaluate AI-generated work rather than simply produce content with AI. This episode is especially relevant for educators, business leaders, students, executives, and professionals working to understand how AI can create strategic value while preserving human judgment and critical reasoning. Find out more at https://ai-in-action.pinecast.co [https://ai-in-action.pinecast.co]

S2E6 - AI, Localization, and the Human Expertise Behind Better Systems with Robin Ayoub

AI, LOCALIZATION, AND THE HUMAN EXPERTISE BEHIND BETTER SYSTEMS WITH ROBIN AYOUB In this episode of AI in Action, Dr. Sidney Shapiro speaks with Robin Ayoub, translation and localization thought leader, GM and VP Sales at Lionbridge, CLIA Advisory Board member, and host of the Localization Fireside Chat podcast. The conversation explores how AI is changing business, language services, education, and digital work. Robin discusses why organizations need to move beyond hype-driven adoption and focus on clear business problems, clean data, and measurable value. He emphasizes that AI systems require careful data curation, validation, monitoring, and human expertise to produce reliable outputs. The episode also examines the risks of relying on out-of-the-box AI systems, including generic outputs, legal and ethical concerns, and the potential for reputational harm when AI operates without sufficient oversight. Robin and Sidney discuss “lawyered up” AI, agentic AI, AI-generated spam, the importance of localization, and the role AI could play in preserving languages and supporting culturally specific systems. The discussion also considers the future of learning and work, including how AI can accelerate skill development, support idea generation, and help users create more personalized learning experiences when paired with critical thinking and human judgment. Find out more at https://ai-in-action.pinecast.co [https://ai-in-action.pinecast.co]

S2E5 - AI, Immersive Storytelling, and the Future of Media with Professor Kris Hodgson-Bright

AI, IMMERSIVE STORYTELLING, AND THE FUTURE OF MEDIA WITH PROFESSOR KRIS HODGSON-BRIGHT In this episode of AI in Action, Dr. Sidney Shapiro speaks with Professor Kris Hodgson-Bright from Lethbridge Polytechnic about the intersection of artificial intelligence, journalism, immersive storytelling, virtual reality, augmented reality, and education. The conversation explores how AI is changing media and communication, from brainstorming and writing support to misinformation, framing, and the importance of human judgment in journalism. Kris also discusses applied research in immersive technologies, including VR-based public-speaking tools, simulation-based training, and the future of interactive learning environments powered by AI. The episode also examines the opportunities and risks of AI-generated content, emotional storytelling, augmented reality, and the need for strong critical thinking skills as students and professionals adopt new tools across education and industry. Find out more at https://ai-in-action.pinecast.co [https://ai-in-action.pinecast.co]

S2E4 - AI Literacy, Equity, and the Future of Teaching with Dr. Jenny Hayman

AI in Action – Season 2, Episode 4Featuring Jenni Hayman In this episode of AI in Action, Dr. Sidney Shapiro speaks with educator, researcher, and senior academic leader Jenni Hayman about the rapidly evolving role of generative AI in education. Their discussion moves beyond surface reactions to explore how institutions, faculty, and students can respond thoughtfully to technological change while maintaining academic integrity, equity, and rigor. Jenni reflects on the pace of AI adoption in post-secondary education and the shift from fear-based conversations about academic misconduct to a more constructive focus on AI literacy and instructional redesign. She highlights the growing reality that students are often early adopters of generative AI tools, challenging traditional assumptions about expertise in the classroom. The conversation examines several critical themes: Lifelong learning in an AI eraWhy this moment represents a defining opportunity for educators to engage in continuous learning and model intellectual agility for students. AI literacy and critical thinkingHow to teach students to question, triangulate, and analyze AI-generated outputs rather than rely on them uncritically. Jenni emphasizes deconstruction exercises and comparative analysis across tools as effective instructional strategies. Equity and accessThe implications of paid versus free AI tools in the classroom, and how faculty can create a level playing field through intentional tool selection and structured assignments. Assessment challengesHow generative AI complicates traditional grading models, particularly in online and digitally submitted coursework. The discussion explores the tension between maintaining learning outcomes and managing faculty workload. Research, bias, and knowledge creationThe risks of AI-generated research proliferation, concerns about bias embedded in training data, and the importance of including dissenting perspectives in scholarly work. Copyright and intellectual propertyOngoing uncertainty around ownership of AI-generated outputs and the ethical implications of training models on scraped content. Preparing students for an AI-driven economyRather than focusing narrowly on tools, Jenni argues for foundational capabilities: adaptability, collaboration, communication, innovation, and the ability to evaluate and integrate new technologies responsibly. The episode concludes with practical guidance for educators at different levels of technological comfort, including the importance of institutional support, peer learning, and contextual integration within disciplines. This episode was made possible through support from the Social Sciences and Humanities Research Council of Canada and the University of Lethbridge. Subscribe to AI in Action for continued conversations on how artificial intelligence is reshaping industries, institutions, and the future of work. Find out more at https://ai-in-action.pinecast.co [https://ai-in-action.pinecast.co]

S2E3 - Mahammad Ayan Shaikh on Building Real-Time AI Collision Detection with IoT

MAHAMMAD AYAN SHAIKH ON BUILDING REAL-TIME AI COLLISION DETECTION WITH IOT In this episode of AI in Action, Dr. Sidney Shapiro sits down with Mahammad Ayan Shaikh, Computer Programming student and CPIN Lab Monitor at Cambrian College, to explore how artificial intelligence and the Internet of Things are converging to power the next generation of embedded systems. Drawing from his hands-on experience designing and troubleshooting IoT prototypes, Mahammad discusses how AI enhances connected devices by transforming real-time sensor data into intelligent, autonomous decision-making. The conversation highlights one of his most ambitious projects: a real-time collision-detection and automated emergency-notification system. Designed to activate in the event of an accident, the system detects impact, captures GPS location and environmental data, and transmits critical information to emergency contacts or services. Through this example, listeners gain insight into the technical and operational challenges of integrating hardware, sensors, edge processing, and secure data transmission into a reliable safety solution. Dr. Shapiro and Mahammad also examine broader trends shaping the industry, including the rise of edge computing, increased device-level intelligence, and the shift away from cloud-dependent architectures. They address the growing importance of cybersecurity, encryption, and responsible data governance as IoT devices collect and process sensitive information at scale. The episode further explores the gap between academic prototypes and real-world deployment, outlining the technical, organizational, and talent-related barriers businesses face when adopting AI-driven IoT solutions. For students and professionals entering the field, Mahammad shares practical advice on building foundational programming skills, working with microcontrollers such as Arduino and Raspberry Pi, and gaining hands-on experience through applied projects. This episode provides a grounded perspective on how embedded systems, AI, and IoT are reshaping industries through intelligent automation, real-time responsiveness, and connected innovation. Find out more at https://ai-in-action.pinecast.co [https://ai-in-action.pinecast.co]