Top Research Papers on Generative AI

Ethical issues that arise in the area of software engineering and cyber-physical systems are analyzed and the importance of rigorous ethical analysis and resulting safeguards to address the emerging issues with AI is shown.

The current use of Artificial Intelligence technologies in the PSS design to damp the power system oscillations caused by interruptions, in Network Intrusion for protecting computer and communication networks from intruders, in the medical are a medicine, to improve hospital inpatient care, and the application areas of this technology are explored.

It is argued that the pursuit of AI-GAs should be considered a new grand challenge of computer science research and the ML community should increase its research investment in the AI-GA approach.

This Editorial talks about AI and its subsets and how this may relate to health care.

The paper concludes that the integration of large-scale generative AI models into assistive technologies will likely lead to a new generation of AI-powered helpers.

Through a qualitative study of GenClassroom’s design, functionality, and application content, this article outlines the evolution of the vision of AI-enabled education to shape the future of learning.

This paper analyzes the application of AI generative AI technology in image-based artistic creation, elucidates the contemporary value of photographic art's essential language, and discusses the impact of intervention by new imaging techniques on photographic art.

Examination of the ownership of Artificial Intelligence generated and created inventions, within the existing IP framework and what protection are ascribed to such inventions under the Paris Convention, the World Intellectual Property Organization Copyright Treaty, and the Trade-related Aspects to Intellectual Property Rights (TRIPS) Agreement is examined.

This article first study the main impacts that cause carbon emissions in AIoT, and then introduces GAI techniques and their relations to carbon emissions, and proposes a novel GAI-enabled solution for low-carbon AIoT.

The potential for using images generated by artificial intelligence for educational purposes is high due to the fact that almost all images generated by artificial intelligence give results in accordance with the text, and almost all of them are quite good.

This research delves deeply into the key facets of AGI, including cognitive frameworks, advanced knowledge representation, adaptive learning mechanisms, strategic planning, sophisticated language processing, and the integration of diverse multimodal data sources.

GenAI is a tool that can enrich the learning process, but it is important to use it ethically and responsibly, with a good understanding, GenAI can be a partner in creating innovative and effective learning.

The study highlights the significance of integrating Generative AI into the context of the Fourth Industrial Revolution in developing countries, where technological change is a crucial determinant of progress and equitable growth.

The experimental results of PathAsst show the potential of harnessing AI-powered generative foundation model to improve pathology diagnosis and treatment processes, and open-source the dataset and toolkit.

This section aims to define AGL differentiate it from other types of artificial intelligence, and offer a glance at its historical development and its potential future development.

The impact of generative and machine learning AI on the financial industry requires ethical considerations to guide decision-making, mitigate risks, and ensure that generative AI is developed and used to align with ethical principles, social values, and in the best interests of communities.

Generative artificial intelligence (AI) can be used as a tool to provide inspiration during creative activities, offer solutions for content creation, and assist in generating ideas for simple outlines or storyboards.

The connecting link along with artificial intelligence (AI) nominally applied in the field of autonomy is optimization and creative advantages during the influence and generation of the vocational education industry and, accordingly, statistics of social reality and expanding access to artificial intelligence (AI).

The importance of clear, comprehensive policies in fostering equal access and ethical use of AI among students whilst supporting AI literacy is underscores, emphasising the need for adaptive and forward-thinking strategies in higher education to address AI learning requirements.

Abstract: Accompanying the recent rise in cautious popularity surrounding Generative Artificial Intelligence (Gen-AI), some language educators are exploring innovative linguistic interactions with Gen-AI. Seeking to add a literature approximation to such criticism, this article explores two activities that feature Gen-AI in undergraduate literature courses. Both activities seek to offer forward-thinking Gen-AI engagement models for instructors of any literary work. Using Miguel de Cervantes’s Don Quixote (1605/15) as a referent, preparatory activities lead students through reading, note-taking...

This presentation highlighted the meaning of Gen AI, the potential of Gen AI in learning, the use of Gen AI, policies in the use of Gen AI, how the change in the educational landscape caused by the AI gene, how education is organized in the integration of AI genes, and how to maintain the latest learning quality when utilizing AI.

This chapter focuses on the concepts of authors and inventors for AI-generated innovations as prerequisites for copyright and patent protection and some fundamental technological concepts of AI are explained.

This paper looks into how the modern AI art generators work and identifies the various issues with AI art on technical, moral and legal grounds and aims to understands how the increased accessibility to AI art generators affects humans.

The research results show that the majority of respondents believe that AI can improve the efficiency and effectiveness of administrative processes, data accuracy, reduce workload, and the quality of decision making.

It is necessary to amend Article 1 Number 35 and Article 274 Paragraph 4 of Law No. 7 of 2017 concerning the General Election, so AI is applicable as campaign material but only if it uses watermarks, is not significantly different from reality, does not contain racism, and does not use living or deceased people without consent

This book, which arises from the teaching experience of the authors, provides an agile overview of the different Artificial Intelligence technologies and maps them into the most suitable method.

This book, which arises from the teaching experience of the authors, provides an agile overview of the different Artificial Intelligence technologies. Artificial Intelligence is a multidisciplinary field which originates from diversified disciplines, from data science to statistics, from natural language processing to signal processing, and has produced different types of solutions, such as supervised, unsupervised, and semi-supervised learning, and technologies, including deep neural networks and generative artificial intelligence. This book also provides an overview of the main use cases a...

A methodology to identify the fundamental studies carried out using artificial intelligence for syllabus design and planning is introduced and the essential role of machine learning is shown in the development and improving the process of syllabus design and planning.

This book, which arises from the teaching experience of the authors, provides an agile overview of the different Artificial Intelligence technologies. Artificial Intelligence is a multidisciplinary field which originates from diversified disciplines, from data science to statistics, from natural language processing to signal processing, and has produced different types of solutions, such as supervised, unsupervised, and semi-supervised learning, and technologies, including deep neural networks and generative artificial intelligence. This book also provides an overview of the main use cases a...

The results show the usefulness of generative AI tools in clinical pediatric dentistry, indicating that these tools will be useful assistants in the dental field.

This study proposes comprehensive risk management strategies that include technical solutions to detect and correct erroneous outputs, human oversight to ensure accuracy, and adherence to ethical and regulatory frameworks to mitigate the risks associated with AI hallucinations.

The scope for the ability of an AGI powered system to be able to provide resolves for the future problems with advance reasoning and problem-solving skills can make it an indispensable partner in fields of scientific research, innovation, education and the list goes on.

This book, which arises from the teaching experience of the authors, provides an agile overview of the different Artificial Intelligence technologies and maps them into the most suitable method.

Experiments with generative AI chatbots Claude and Adobe AI Assistant are reported on, and their performance at indexing-related tasks such as summary and keyword generation, and at the creation of indexes are evaluated.

To manage more effectively in the Feeling Economy, managers must adapt the nature of jobs to compensate for the fact that many of the analytical and thinking tasks are increasingly being performed by AI, and, thus, human workers must place increased emphasis on the empathetic and emotional dimensions of their work.

The ethical and legal implications surrounding AI art generators and copyrights are discussed, how the AI generators operate is described, the positions in the creative process are considered, and suggested best practices for engaging AI art in the architectural design curricula are suggested.

This document analyzes the degree of introduction of the gender perspective in the AI grades and how to improve the gender competences of the students.

The characteristics of cognition, thinking and consciousness are revealed, which also has a good enlightenment to the operation mode of human cognition, thinking and consciousness.

The implications of regulations in HCI research are discussed, new theories, evaluation frameworks, and methods are developed to navigate the complex nature of AI ethics, steering AI development in a direction that is beneficial and sustainable for all of humanity.

The study investigates the human-AI synergy on performance within the IT sector workforce, focusing on generative AI (GAI) tools. Adopting the Task-Technology Fit Theory, the research evaluates how AI characteristics (adaptivity, iteration capabilities, learning ability, quality of content) and human traits (self-efficacy, personal innovativeness) influence AI reliance and performance outcomes. A sample survey of 148 middle-level IT employees reveals that AI reliance significantly enhances performance through improved task knowledge validation and higher self-efficacy. While AI’s adaptive and ...

The findings reveal substantial positive effects of generative AI on enterprise innovation, and a conceptual model is formulated to elucidate the relationship between generative AI and enterprise innovation.

The significance of this research lies in not only enhancing the interpretability of generative AI/AGI based on LLMs represented by ChatGPT but also providing generalized translations for the new quality productive force AGI characterized by small models and its complex theories of cosmic intelligence and the universal model series.

It is confirmed that generative AI is being used in an ad hoc way by students to speed up the ideation process tempered by a sceptical view of its creative output.

This article attempts to analyze the most important innovations of the EU's Artificial Intelligence Act (AIA), based on the risk management approach, and particular role is presented by Generative Artificial Intelligence, as ChatGPT, case observed by the Italian national Data Protection Authority.

The data obtained suggest that the design of online courses does not affect the learning effectiveness and the yield parameter, and the obtained data indicate that the parameter of profitability and effectiveness of online learning is most influenced by the qualitative (psychological) criteria of learners.

This document briefly delve into various aspects of implementation inspired by the mechanisms underlying neuroscience and human cognition, and proposes future perspectives, capitalizing on the advantages of symbiotic designs to suggest a human-centered direction for next-generation developments, focusing on the augmentation role of AI.

A comprehensive literature review is presented on the ways in which artificial intelligence is currently being used in content generation in the podcast industry, what tools can be used to do so, and how the merging of the two fields has evolved.

This documentary paper purposed to plan, analysis, design and implement the System Framework for a question bank using Artificial Intelligence (AI) for a question bank using Artificial Intelligence.

This paper analyzes the scope of Artificial Intelligence from the perspective of a multimodal grammar, and investigates the application of Generative AI in educational settings and the ways it might be put to pedagogical use.

The aim is to facilitate a structured, organization-wide transformation process for the integration of AI technology into daily business operations and seeks to seamlessly integrate AI within existing strategic frameworks.