Beyond transparency and explainability. On the need for adequate and contextualized user guidelines for LLM use
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985955%3A_____%2F24%3A00601236" target="_blank" >RIV/67985955:_____/24:00601236 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.1007/s10676-024-09778-2" target="_blank" >https://doi.org/10.1007/s10676-024-09778-2</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s10676-024-09778-2" target="_blank" >10.1007/s10676-024-09778-2</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Beyond transparency and explainability. On the need for adequate and contextualized user guidelines for LLM use
Popis výsledku v původním jazyce
Large language models (LLMs) such as ChatGPT present immense opportunities, but without proper training for users (and potentially oversight), they carry risks of misuse as well. We argue that current approaches focusing predominantly on transparency and explainability fall short in addressing the diverse needs and concerns of various user groups. We highlight the limitations of existing methodologies and propose a framework anchored on user-centric guidelines. In particular, we argue that LLM users should be given guidelines on what tasks LLMs can do well and which they cannot, which tasks require further guidance or refinement by the user, and context-specific heuristics. We further argue that (some) users should be taught to refine and elaborate adequate prompts, be provided with good procedures for prompt iteration, and be taught efficient ways to verify outputs. We suggest that for users, shifting away from looking at the technology itself, but rather looking at the usage of it within contextualized sociotechnical systems, can help solve many issues related to LLMs. We further emphasize the role of real-world case studies in shaping these guidelines, ensuring they are grounded in practical, applicable strategies. Like any technology, risks of misuse can be managed through education, regulation, and responsible development.
Název v anglickém jazyce
Beyond transparency and explainability. On the need for adequate and contextualized user guidelines for LLM use
Popis výsledku anglicky
Large language models (LLMs) such as ChatGPT present immense opportunities, but without proper training for users (and potentially oversight), they carry risks of misuse as well. We argue that current approaches focusing predominantly on transparency and explainability fall short in addressing the diverse needs and concerns of various user groups. We highlight the limitations of existing methodologies and propose a framework anchored on user-centric guidelines. In particular, we argue that LLM users should be given guidelines on what tasks LLMs can do well and which they cannot, which tasks require further guidance or refinement by the user, and context-specific heuristics. We further argue that (some) users should be taught to refine and elaborate adequate prompts, be provided with good procedures for prompt iteration, and be taught efficient ways to verify outputs. We suggest that for users, shifting away from looking at the technology itself, but rather looking at the usage of it within contextualized sociotechnical systems, can help solve many issues related to LLMs. We further emphasize the role of real-world case studies in shaping these guidelines, ensuring they are grounded in practical, applicable strategies. Like any technology, risks of misuse can be managed through education, regulation, and responsible development.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
60302 - Ethics (except ethics related to specific subfields)
Návaznosti výsledku
Projekt
<a href="/cs/project/GN24-12638I" target="_blank" >GN24-12638I: Etické a právní aspekty autonomních zbraňových systémů</a><br>
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2024
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Ethics and Information Technology
ISSN
1388-1957
e-ISSN
1572-8439
Svazek periodika
26
Číslo periodika v rámci svazku
3
Stát vydavatele periodika
NL - Nizozemsko
Počet stran výsledku
12
Strana od-do
47
Kód UT WoS článku
001270569000001
EID výsledku v databázi Scopus
2-s2.0-85198733365