Intelligence fundamentally distinguishes humans, yet the ways we recognize, discuss, and value it are limited. Often, artificial intelligence (AI) is mistakenly ascribed to human qualities it lacks, risking the omission of the emotional, cooperative, sensory, and self-driven elements vital to human intellect. In response, Rosemary Luckin, an expert in AI’s educational use, suggests a new approach to comprehending human intelligence’s complexity. She points out AI’s relative shortcomings and provides straightforward advice for educators to utilize AI effectively, enhancing and broadening human skills.
Introducing the Author’s Background
Rosemary Luckin holds the position of Professor of Learner-Centred Design at UCL Knowledge Lab in London, where her research focuses on the fusion of educational technology with theories from the learning sciences and techniques from artificial intelligence (AI). Additionally, she serves as the Director of EDUCATE, a pioneering London hub fostering collaboration among Educational Technology StartUps, researchers, and educators to advance evidence-informed educational technology. Notably, Luckin assumes the role of President within the International Society for Artificial Intelligence and Education.
Perspectives on Machine Learning and Human Intelligence – Reviews and Insights
In an era where human intelligence is both vast and intricate, its assessment and valuation often fall short. As artificial intelligence continues to excel in tasks like IQ tests and knowledge-based learning, there’s a looming concern that humans might be overshadowed by technology.
Rose Luckin, a seasoned professor of learning-centered design at University College London, brings this concern to light. With over 25 years of expertise in artificial intelligence and learning, Luckin questions the narrow metrics by which we gauge intelligence. She warns against the risk of “dumbing ourselves down” due to our fascination with the intelligent capabilities of technology.
Luckin’s latest work, “Machine Learning and Human Intelligence: The future of education for the 21st Century,” advocates for a radical redefinition of intelligence. She proposes leveraging artificial intelligence to cultivate and assess human intelligence in diverse forms, preparing students for a rapidly evolving workplace that demands continuous adaptation and learning.
Lord Puttnam, a prominent member of the House of Lords Select Committee on Artificial Intelligence, commends Luckin’s book for its thought-provoking exploration of knowledge, intelligence, and humanity’s relationship with machines. He highlights Luckin’s belief in educators as pivotal agents of change in navigating the challenges posed by AI.
Lord Jim Knight, renowned for his contributions to education as a former Schools Minister, praises Luckin’s examination of intelligence. He underscores the urgency of adopting an intelligence-based curriculum and acknowledges the competitive advantage of human intelligence over artificial intelligence.
Angela McFarlane, a respected Trustee at Education Development Trust, applauds Luckin’s accessible exploration of knowing and intelligence. She emphasizes the relevance of Luckin’s insights for policymakers and educators, urging them to consider the implications for teaching and learning practices.
Sir Anthony Seldon, Vice-Chancellor of the University of Buckingham, lauds Luckin’s profound understanding of machine learning and AI’s impact on education. He highlights the significance of Luckin’s book for educators seeking to comprehend and navigate the future of education in the digital age.
Unveiling the Contents – Exploring Further
CONTENTS: 1. Intelligence, human and artificial; 2. What is intelligence? Part 1: Knowledge and knowing the world; 3. What is intelligence? Part 2: Knowledge of and knowing about ourselves; 4. Talking about intelligence in humans and machines; 5. Who moved my intelligence? 6. The power of learning and the importance of education; 7. Social and meta-intelligence: How education can prepare humans for an AI world; References; Index.
