Top Research Papers on Generative AI

Since the introduction of ChatGPT, the leading example of Generative Artificial Intelligence (GenAI), the research community and the general public have been captivated by GenAI's remarkable advances in performance, and its ability to both imitate and, in some respects, surpass human capabilities. This paper offers a comprehensive analysis of the impact of AI on consumer behavior, focusing on the two pivotal phases of AI development over the past 15 years. We start by reviewing the extensively researched, yet still growing, field of algorithmic predictions and decision-making, alongside the va...

The necessity for researchers and practitioners to comprehend the distinctive characteristics of generative artificial intelligence in order to harness its potential while mitigating its risks and to contribute to a principal understanding is underlined.

This study highlights the need for active participation from nursing researchers in discussions surrounding standardization of generative AI declaration in academic research writing, and extends the requirement for AI usage declarations to journal reviewers to enhance the quality of peer review and combat predatory journals in the academic publishing landscape.

How AI tools have augmented teaching and learning in CS50, specifically in explaining code snippets, improving code style, and accurately responding to curricular and administrative queries on the course's discussion forum is detailed.

This report proposes an operational definition of artificial intelligence to be adopted in the context of AI Watch, the Commission knowledge service to monitor the development, uptake and impact of artificial intelligence for Europe. The definition, which will be used as a basis for the AI Watch monitoring activity, is established by means of a flexible scientific methodology that allows regular revision. The operational definition is constituted by a concise taxonomy and a list of keywords that characterise the core domains of the AI research field, and transversal topics such as applications...

AI in structural biology is briefly overviewed, including in molecular dynamics simulations and prediction of microbiota–human protein–protein interactions, and their powerful impact on the life sciences.

Generative AI, specifically ChatGPT, represents a significant technological advancement in natural language processing (NLP) large language models (LLM) with far-reaching implications in many dimensions of our lives, including education. This paper discusses the prospects of generative AI in utilizing language and its potential role as a conversational agent within the educational realm. Emulating the most advanced human technology, language, generative AI’s success relies on understanding and generating human-like text. However, its comprehension is solely based on patterns and structures it ...

A comprehensive and clearly delineated category list of distorted information in AIGC is identified, which lays a solid foundation for studying risks associated with AIGC but also holds significant practical implications for helping users identify distorted information and enabling developers to enhance the quality of AI-generated tools.

An account for determining when an AI system can be said to embody certain values is proposed, which understands embodied values as the result of design activities intended to embed those values in such systems.

Some of the underlying concepts of generative AI, such as artificial intelligence, machine learning, deep learning, artificial neural networks, and large language models, that would allow the reader to better understand generative AI are introduced.

Artificial intelligence has the potential to assist in the diagnosis of skin lesions and may have particular value at the interface between primary and secondary care.

The findings suggest that pharmaceutical firms have benefited from AI in healthcare by speeding up their drug discovery process and automating target identification, and the findings indicate that AI-assisted clinical trials are capable of handling massive volumes of data and producing highly accurate results.

Artificial Intelligence (AI) emerged as an intervention for data and number-related problems. This breakthrough has led to several technological advancements in virtually all fields from engineering to architecture, education, accounting, business, health, and so on. AI has come a long way in healthcare, having played significant roles in data and information storage and management – such as patient medical histories, medicine stocks, sale records, and so on; automated machines; software and computer applications like diagnostic tools such as MRI radiation technology, CT diagnosis and many mor...

Due to popular successes (e.g., ChatGPT) Artificial Intelligence (AI) is on everyone's lips today. When advances in biotechnology are combined with advances in AI unprecedented new potential solutions become available. This can help with many global problems and contribute to important Sustainability Development Goals. Current examples include Food Security, Health and Well-being, Clean Water, Clean Energy, Responsible Consumption and Production, Climate Action, Life below Water, or protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat deser...

This special edition takes an important step in illuminating both what the authors know and what they yet need to research on AI, and raises the issue of whether marketing professionals will embrace AI as a means to free them from more mundane tasks to spend time on higher value activities, or will they viewAI as a threat to their employment.

While ChatGPT has recently become very popular, AI has a long history and philosophy. This paper intends to explore the promises and pitfalls of the Generative Pre-trained Transformer (GPT) AI and potentially future technologies by adopting a speculative methodology. Speculative future narratives with a specific focus on educational contexts are provided in an attempt to identify emerging themes and discuss their implications for education in the 21st century. Affordances of (using) AI in Education (AIEd) and possible adverse effects are identified and discussed which emerge from the narrative...

This study aimed to provide a deeper understanding of the intricacies involved in AI prompt engineering and its role as a digital competence, and contributed the AI PROMPT framework to the field, providing clear and actionable guidelines for text‐to‐text prompt engineering.

This research paper proposes a comprehensive methodology for leveraging generative AI in the metaverse and explores various techniques such as generative adversarial networks, variational auto encoders, and reinforcement learning to generate virtual environments, characters, objects, textures, and narratives.

This paper looks toward developing a third generation artificial intelligence by combining the current paradigms, and considers symbolism as the first generation of AI and connectionism as the second generation.

Development of small and medium enterprises (SMEs) is a key approach to achieving economic growth in the Middle East and successful adoption of technology is vital for SMEs' success and continuity. Artificial intelligence (AI) is part of a new generation of technologies that can facilitate competitive advantage but currently there is a lack of evidence regarding AI applications in relation to B2B SMEs in Middle East countries. Therefore, this study empirically examines antecedents to, and consequences of, successful acceptance of AI practices by B2B SMEs in Saudi Arabia. A conceptual model bas...