About this Research Topic
The advent of natural language prompting has transformed the interaction with artificial intelligence, enabling more intuitive and accessible use across diverse fields. This paradigm shift leverages the inherent capabilities of language models to interpret and generate human-like text, thus facilitating complex tasks and decision-making processes. From scientific research to creative industries, the influence of effective prompting is profound, driving advancements and raising new ethical and technical challenges. This topic delves into the dual nature of prompting, highlighting its potential to both enhance and complicate AI applications, reflecting its critical role in shaping the future landscape of AI.
This research topic aims to provide a comprehensive exploration of how natural language prompting is revolutionizing AI usage and development. We seek to examine the multifaceted impacts of prompting across various scientific and academic domains, emphasizing both the innovative breakthroughs and the emerging dilemmas it presents. By gathering insights from leading researchers and practitioners, the issue aspires to foster a deeper understanding of the capabilities and limitations of prompting. Our goal is to catalyze discussions that will guide responsible and effective use of this powerful tool, ensuring its benefits are maximized while mitigating potential risks.
We invite submissions that investigate the influence of natural language prompting on AI across a wide range of applications and disciplines. Topics of interest include, but are not limited to, advancements in AI-driven research, ethical implications, technical challenges, and case studies showcasing innovative uses of prompting. Contributions should offer novel insights or comprehensive reviews that advance our understanding of prompting's dual-edged impact. Authors are encouraged to present empirical findings, theoretical analyses, or practical implementations. Manuscripts should adhere to the journal’s formatting guidelines and be submitted by the specified deadline to ensure consideration for this collection.
This research topic aims to provide a comprehensive exploration of how natural language prompting is revolutionizing AI usage and development. We seek to examine the multifaceted impacts of prompting across various scientific and academic domains, emphasizing both the innovative breakthroughs and the emerging dilemmas it presents. By gathering insights from leading researchers and practitioners, the issue aspires to foster a deeper understanding of the capabilities and limitations of prompting. Our goal is to catalyze discussions that will guide responsible and effective use of this powerful tool, ensuring its benefits are maximized while mitigating potential risks.
We invite submissions that investigate the influence of natural language prompting on AI across a wide range of applications and disciplines. Topics of interest include, but are not limited to, advancements in AI-driven research, ethical implications, technical challenges, and case studies showcasing innovative uses of prompting. Contributions should offer novel insights or comprehensive reviews that advance our understanding of prompting's dual-edged impact. Authors are encouraged to present empirical findings, theoretical analyses, or practical implementations. Manuscripts should adhere to the journal’s formatting guidelines and be submitted by the specified deadline to ensure consideration for this collection.
Keywords: Prompting, Prompts, AI, Generative AI, Epistemology, Lay
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
