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...

The role of AI as a decisive technology to analyze, prepare us for prevention and fight with COVID-19 (Coronavirus) and other pandemics is reviewed and seven significant applications of AI for CO VID-19 pandemic are identified.

A detailed assessment of the ways in which the deployment of AI can enhance or diminish employees’ experiences of meaningful work is offered and the ethical implications are assessed.

The extent to which the rule of law is being diminished as AI is becoming entrenched within society is investigated and the extent toWhich it can survive in the technocratic society is questioned.

Contrary to the more traditional silo-mentality and linear view of the value chain, it is argued that AI solutions can perform multiple roles simultaneously, thus establishing interconnectivity between the different value chain activities.

The integration of Artificial Intelligence (AI) in education has transformed academic learning, offering both opportunities and challenges for students’ development. This study investigates the impact of AI technologies on students’ learning processes and academic performance, with a focus on their perceptions and the challenges associated with AI adoption. Conducted at the National University of Science and Technology POLITEHNICA Bucharest, this research involved second-year students who had direct experience with AI-enhanced learning environments. Using purposive sampling, 85 participants we...

Purpose -Artificial intelligence (AI) adoption is critical in the age of digital technology.This review article aims to evaluate the literature on AI in the hospitality industry.Method -A narrative synthesis was used in this review article.Moreover, the literature was reviewed systematically to explore AI in the hospitality industry.The literature and information were obtained from various books and research articles on EBSCO, Google Scholar, Scopus, Web of Science, and ScienceDirect.The inclusion criteria were studies that clearly defined AI in all aspects of the hospitality industry, were pu...

This paper will show that AI cannot be something that has the capacity to be trusted according to the most prevalent definitions of trust because it does not possess emotive states or can be held responsible for their actions—requirements of the affective and normative accounts of trust.

This is an exploratory study that synthesizes recent extant literature to offer some potential benefits and drawbacks of ChatGPT in promoting teaching and learning and offers recommendations on how this evolving generative AI tools could be leveraged to maximize teaching andlearning.

Since its maiden release into the public domain on November 30, 2022, ChatGPT garnered more than one million subscribers within a week. The generative AI tool ⎼ChatGPT took the world by surprise with it sophisticated capacity to carry out remarkably complex tasks. The extraordinary abilities of ChatGPT to perform complex tasks within the field of education has caused mixed feelings among educators, as this advancement in AI seems to revolutionize existing educational praxis. This is an exploratory study that synthesizes recent extant literature to offer some potential benefits and drawbacks of...

This paper argues that the ‘race to AI’ also brings forth a ‘ race to AI regulation’, and assesses to which extent regulatory competition for AI – or its counterpart, regulatory convergence – is a possibility, a reality and a desirability.

Abstract Artificial intelligence (AI) applications are increasingly used to support supply chain management (SCM) activities. However, industry reports and recent research indicate difficulty in implementing AI solutions. This study explores the role of organizational factors in reconciling the differences between the potential SCM benefits of AI and its actual acceptance and use. We apply thematic analysis techniques to explore the marketing materials used by vendors of AI‐enabled software and interviews with organization leaders that have experience with the deployment of AI‐based technologi...

This paper highlights problematic applications that are instances of coloniality, and using a decolonial lens, submit three tactics that can form a declonial field of artificial intelligence: creating a critical technical practice of AI, seeking reverse tutelage and reverse pedagogies, and the renewal of affective and political communities.

ChatGPT, which launched only a year ago, is the fastest-growing website in the world today. When generative AI software such as ChatGPT generates ideas for people, they often generate false ideas. This occurrence has been called ‘AI Hallucination’. It can include generating false text output that is extremely believable to completely gibberish. This source of potential misinformation has significant potential implications for the travel and tourism industry. Using survey responses from 900 consumers, this empirical study contributes to theorizing and examination of how consumers’ awareness of ...

This Perspective briefly introduces the New Generation Artificial Intelligence Development Plan of China (2015–2030) from the point of view of the authors, a group of AI experts from academia and industry who have been involved in various stages of the plan.

A systematic review and analysis of recent advancements and techniques in Generative AI with a detailed discussion of their applications including application-specific models and the necessary ethical considerations for the sustainability and growth of these generative models.

Emerging artificial intelligence (AI) capabilities will likely pervade nearly all organizational contours and activities, including knowledge management (KM). This article aims to uncover opportunities associated with the implementation of emerging systems empowered by AI for KM. In doing so, we explicate the potential role of AI in supporting fundamental dimensions of KM: creation, storage and retrieval, sharing, and application of knowledge. We then propose practical ways to build the partnership between humans and AI in supporting organizational KM activities and provide several implication...

The results suggest that ideation and filtering are likely necessary skills in the text-to-image process, thus giving rise to “generative synesthesia”—the harmonious blending of human exploration and AI exploitation to discover new creative workflows.

This paper is the first to present a structured discussion of AI's implications for reverse logistics functions and tasks and emphasizes the importance of emerging technologies, particularly AI, as an external force within the entrepreneurial ecosystem.

This study introduces a wide-ranging working AI scholarly definition in communication research as the tangible real-world capability of non-human machines or artificial entities to perform, task solve, communicate, interact, and act logically as it occurs with biological humans.

It is argued that attention to, public access to, and debate about LLMs have initiated a wave of products and services using generative artificial intelligence (AI), which had previously found it hard to attract physicians.