MISUSED TOOLS: SCIENCE’S PROBLEM WITH LLMS: How the RESPONSIBLE Use of AI Might Work (Responsible Use of AI: The How, The Why, What's Next)
Language: English
Published by Second Order Science Foundation, 2025
Series: Book 2 of 4 - Responsible Use of AI: The How, The Why, What's Next
- Softcover
- New

Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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In English.
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- Title
- MISUSED TOOLS: SCIENCE’S PROBLEM WITH LLMS: How the RESPONSIBLE Use of AI Might Work (Responsible Use of AI: The How, The Why, What's Next)
- Author
- Lissack, Michael; Meagher, Brenden
- Publisher
- Second Order Science Foundation
- Publication year
- 2025
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 13
- 9798992788525
- Item weight
- 577 grams
- Series
- Book 2 of 4: Responsible Use of AI: The How, The Why, What's Next
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 authorities
- Techniques for critical evaluation of AI-generated content
- Frameworks for responsible integration based on the Oxford tutorial model
- Methods to prevent recursive feedback loops of misinformation
This 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.
"Synopsis" may belong to another edition of this title.
Ria Christie Collections
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