second order science foundation (15 risultati)

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New. In.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New. In.

Condizione: New.

Paperback. Condizione: new. Paperback. In an era where artificial intelligence is rapidly transforming knowledge work, the ability to harness large language models (LLMs) effectively is becoming a crucial skill. From research and analysis to writing and publication, AI can dramatically enhance efficiency-if used wisely. However, many professionals struggle with integrating AI tools into their workflows in a way that enhances, rather than replaces, critical thinking and originality.This book is a step-by-step guide to responsible and effective LLM-based research and writing. It presents a structured, practical workflow for leveraging AI at each stage of the creative and analytical process-starting with defining a research question and culminating in refining and publishing high-quality, human-driven content. Along the way, it introduces the best AI-powered tools available for brainstorming, literature review, drafting, editing, critique, and submission.But this is more than just a technology manual. At its core, this book emphasizes the human-AI partnership, ensuring that while AI accelerates and supports your work, your expertise, judgment, and creativity remain at the center. It highlights best practices, common pitfalls, and strategies for maintaining intellectual integrity while benefiting from AI's capabilities.Whether you're an academic, journalist, business professional, or content creator, this book will equip you with the knowledge and strategy to maximize AI's potential without compromising quality or originality. By the end, you'll have a repeatable, AI-augmented workflow that can be applied to any complex research or writing project-boosting productivity while keeping you in control.Welcome to the next level of AI-assisted research and writing-where technology enhances your work, but you remain the author. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condizione: new. Paperback. In this groundbreaking exploration of artificial intelligence's impact on scientific research, Michael Lissack and Brenden Meagher examine the profound challenges that Large Language Models (LLMs) pose to academic integrity and knowledge creation."Misused Tools" investigates how these powerful AI systems can fundamentally transform-for better or worse-how scientific knowledge is produced, validated, and transmitted. The authors make a crucial distinction between using LLMs to augment human intelligence versus substituting for human judgment, arguing that uncritical adoption risks producing what they term "sloppy science"-research that appears sophisticated on the surface but lacks genuine intellectual depth.Drawing on frameworks from cognitive science, complexity theory, and philosophy of mind, Lissack and Meagher offer a nuanced perspective that neither demonizes nor uncritically celebrates these technologies. Instead, they present practical strategies for researchers to maintain intellectual rigor while leveraging AI's capabilities, including: How to approach LLMs as research partners rather than authoritiesTechniques for critical evaluation of AI-generated contentFrameworks for responsible integration based on the Oxford tutorial modelMethods to prevent recursive feedback loops of misinformationThis timely volume addresses concerns from individual researchers to institutional leaders, providing both philosophical foundations and practical guidance for navigating the AI revolution in scientific research. It's an essential resource for anyone concerned with preserving the integrity of science while embracing technological progress. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condizione: new. Paperback. In an era where artificial intelligence is rapidly transforming knowledge work, the ability to harness large language models (LLMs) effectively is becoming a crucial skill. From research and analysis to writing and publication, AI can dramatically enhance efficiency-if used wisely. However, many professionals struggle with integrating AI tools into their workflows in a way that enhances, rather than replaces, critical thinking and originality.This book is a step-by-step guide to responsible and effective LLM-based research and writing. It presents a structured, practical workflow for leveraging AI at each stage of the creative and analytical process-starting with defining a research question and culminating in refining and publishing high-quality, human-driven content. Along the way, it introduces the best AI-powered tools available for brainstorming, literature review, drafting, editing, critique, and submission.But this is more than just a technology manual. At its core, this book emphasizes the human-AI partnership, ensuring that while AI accelerates and supports your work, your expertise, judgment, and creativity remain at the center. It highlights best practices, common pitfalls, and strategies for maintaining intellectual integrity while benefiting from AI's capabilities.Whether you're an academic, journalist, business professional, or content creator, this book will equip you with the knowledge and strategy to maximize AI's potential without compromising quality or originality. By the end, you'll have a repeatable, AI-augmented workflow that can be applied to any complex research or writing project-boosting productivity while keeping you in control.Welcome to the next level of AI-assisted research and writing-where technology enhances your work, but you remain the author. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condizione: new. Paperback. In this groundbreaking exploration of artificial intelligence's impact on scientific research, Michael Lissack and Brenden Meagher examine the profound challenges that Large Language Models (LLMs) pose to academic integrity and knowledge creation."Misused Tools" investigates how these powerful AI systems can fundamentally transform-for better or worse-how scientific knowledge is produced, validated, and transmitted. The authors make a crucial distinction between using LLMs to augment human intelligence versus substituting for human judgment, arguing that uncritical adoption risks producing what they term "sloppy science"-research that appears sophisticated on the surface but lacks genuine intellectual depth.Drawing on frameworks from cognitive science, complexity theory, and philosophy of mind, Lissack and Meagher offer a nuanced perspective that neither demonizes nor uncritically celebrates these technologies. Instead, they present practical strategies for researchers to maintain intellectual rigor while leveraging AI's capabilities, including: How to approach LLMs as research partners rather than authoritiesTechniques for critical evaluation of AI-generated contentFrameworks for responsible integration based on the Oxford tutorial modelMethods to prevent recursive feedback loops of misinformationThis timely volume addresses concerns from individual researchers to institutional leaders, providing both philosophical foundations and practical guidance for navigating the AI revolution in scientific research. It's an essential resource for anyone concerned with preserving the integrity of science while embracing technological progress. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

paperback. Condizione: New.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In Questioning Understanding: Understanding Questioning, philosopher-scientist Michael Lissack reveals how our questions shape what we can understand, while our understanding determines what questions we can even conceive.