Large language models complement human participants through role simulation

Published: Jan. 29, 2024

The rise of large language models (LLMs) that generate human-like text has sparked debates over their potential to replace human participants in behavioral and cognitive research. We critically evaluate this replacement perspective appraise the fundamental utility psychology social science. Through a five-dimension framework—characterization, representation, interpretation, implication, utility—we identify six fallacies undermine perspective: (1) equating token prediction with intelligence, (2) assuming LLMs represent average human, (3) interpreting alignment as explanation, (4) anthropomorphizing AI, (5) essentializing identities, (6) purporting primary tools directly reveal mind. Rather than replacement, evidence arguments are consistent simulation perspective, where offer new paradigm simulate roles model processes. highlight limitations considerations about internal, external, construct, statistical validity, providing methodological guidelines for effective integration into psychological research—with focus on selection, prompt design, ethical considerations. This reframes role science, serving linguistic simulators shed light similarities differences between machine intelligence cognition thoughts.

Language: Английский

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Progress and challenges in the symbiosis of AI with science and medicine

Published: April 7, 2024

Generative AI, especially large language models (LLMs), promises a cognitive revolution akin to the industrial revolution. While showing impressive progress across scientific and medical domains, realizing AI's true symbiosis with these fields requires overcoming hurdles in four key areas. First, future model development must emphasize multimodal capabilities, open science, diversity beyond English. Second, effective collaboration between AI experts domain specialists is crucial for aligning real-world needs ensuring interpretability when required. Third, education needed cultivate an AI-literate workforce adept at leveraging tools responsibly. Fourth, promoting public trust through empirical validation framing as supplementing rather than replacing human expertise are societal acceptance. Addressing challenges can unlock generative transformative potential advancing knowledge creation, discovery, clinical care delivery.

Language: Английский

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The promising and problematic potential of generative AI as a leveler of the publishing playing field

Journal of English for Research Publication Purposes, Journal Year: 2024, Volume and Issue: 5(1-2), P. 93 - 105

Published: Dec. 31, 2024

Abstract This perspective paper considers the affordances and challenges of generative AI for linguaculturally diverse scholars in a still English-dominant academic publishing world. Chief among questions examined is whether offers viable path forward toward greater research publication equity but, at same time, something much more fraught. In other words, explores how promising apparent equalizing potential may be. Might, example, offer smoother to visibility, but so doing, actually make uniqueness scholars’ contributions far less visible? The paradoxical discussed first this by surveying, particular phase development, some salient advantages use prewriting, writing, post-writing, that is, AI’s ability assist with such essentials as idea generation, text refinement. democratizing each these major stages writing are then interrogated problematized. concludes brief speculative forward.

Language: Английский

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Enhancing Academic Writing through Digital Tools: A Systematic Review

Journal of Language and Literature Studies, Journal Year: 2024, Volume and Issue: 4(4), P. 707 - 770

Published: Dec. 10, 2024

The integration of digital tools in academic writing has significantly enhanced students' proficiency across various educational levels. Tools such as grammar checkers, citation managers, plagiarism detectors, and collaborative platforms help students produce more structured, academically compliant writing. These support technical skill development while also increasing accessibility, providing from diverse backgrounds with greater opportunities to improve their abilities. AI-based assistants, particular, reduce grammatical errors expand vocabulary, multimodal technologies encourage creativity by enabling integrate visual audio elements into work. This literature review, using PRISMA bibliometric analysis, synthesizes studies 2019 2024, examining how impact clarity, adherence standards, structured argumentation. review reveals that enhance skills, overuse can result a dependency impairs the critical thinking creativity—key components strong implications these findings stress importance literacy training within curricula, ensuring use responsibly complement skills analytical creative thinking. Additionally, professional for educators is essential, them guide effectively integrating tools. Ultimately, balanced approach tool contributing broader goal fostering well-rounded, digitally literate learners.

Language: Английский

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English as a lingua franca in academic publishing: using round-trip translation to estimate linguistic revision difficulty

Journal of English as a Lingua Franca, Journal Year: 2024, Volume and Issue: 13(2), P. 307 - 335

Published: Sept. 1, 2024

Abstract In this paper the feasibility of a novel method for estimating revision difficulty academic texts to be published in English as lingua franca (ELF) is examined with purpose optimizing revisors’ workflow and performance. doing so, we also address complex issue linguistic standards ELF productions from new perspective. The automatic round-trip translation (RTT), which consists machine-translating text into another language back source language, applied conjunction BLEU, an similarity traditionally used machine evaluation. between manuscript its calculated obtain priori evaluation difficulty, efficacy reliability are tested. Alongside experimental research, some theoretical issues regarding practice hyperglobalized context international publishing discussed. results experiments show that RTT-based can successfully estimate difficulty. variety data demonstrates applicability beyond cases under study. Some limitations further developments study briefly

Language: Английский

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The use and ethical implications of artificial intelligence in scientific research and academic writing

Deleted Journal, Journal Year: 2014, Volume and Issue: 1(2), P. 139 - 144

Published: Sept. 15, 2014

The integration of artificial intelligence into scientific research has significantly changed methodologies, including data analysis, literature review and academic writing. This paper aims to explore the diverse applications tools in its relationship with ethics. shows that accelerate processes, especially data-intensive fields, by improving efficiency accuracy analysis review. It also highlights growing role writing, where such as ChatGPT streamline text generation editing. However, rapid adoption sparked ethical debates, particularly around integrity, originality reliability generated sources. assesses these emerging challenges need for clear guidelines. Ultimately, it concludes are a powerful tool can greatly benefit if used responsibly, but unethical practices manipulation plagiarism must be avoided. Human oversight remains essential ensure use processes.

Language: Английский

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