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.

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.

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).

Generative artificial intelligence (AI) technologies are becoming integral to academic and professional landscapes, with universities rapidly developing policies that govern ethical and effective usage. Yet such efforts are fragmented across institutions, from outright blanket bans to bespoke frameworks supporting AI application. Seeking to offer evidence of this fragmented approach, this study conducts a systematic content analysis of AI policies of UK Russell Group universities, with specific focus on learning and teaching. The analysis reveals differences in policy comprehensiveness, enforc...

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.

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

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.

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.

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 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 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 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.

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.

This work explores the interplay between human and machine intelligence, focusing on the crucial role humans play in developing ethical, responsible, and robust intelligent systems, and proposes future perspectives that suggest a human-centered direction for next-generation AI development.

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.

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.

The results showed that gender and educational level appear to have little effect on familiarity, concerns, and perceived benefits regarding these tools, and it is recommended to enhance students’ perceptions of the benefits of generative AI writing tools by highlighting the creative potential of these tools within the educational setting.

This review explores the challenges faced in traditional mental healthcare and proposes the integration of AI-generated health counseling as a transformative approach, and AI-powered chatbots and virtual assistants present accessible, cost-effective alternatives that overcome geographical barriers and combat stigma.

The frontier theory innovation of AI, knowledge-driven modeling methodologies for commonsense reasoning, revolutionary innovation and breakthroughs of the novel algorithms and new technologies in AI, and developing responsible AI should be the main research strategies of AI scientists in the future.

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An overview of how AI techniques are being utilized to maximize the value of power generating assets and prognosis for future use of AI in the power industry is provided.

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.

Issues arising during the development of an AGI project can be conveniently studied by explicating the seven functions of a complex test: communicative, interrogative, organizational, definitive, critical and constructive and constitutive functions.

A general model of AGI is presented, the model indicates how knowledge is represented and learned, how the knowledge is used to accomplish tasks such as inference, memory recalling and so on, and how the advanced intelligence phenomenons emerge.

It is for mathematical reasons impossible to program a machine in such a way that it could master human dialogue behaviour in its full generality, and it is concluded that a Turing machine also cannot possess AGI, because it fails to fulfil a necessary condition thereof.

This paper is all about explaining generative AI: where it came from, what it's doing now, and how it's used.

The present AI uses will be reexamined whether there is any matter to be considered further or not in AI research directions and their purposes behind the current status by looking at the history of AI development.

Мир стремительно меняется — технологии уже не только предоставляют огромные возможности, но и угрожают отдельным компаниям, отраслям и оцифрованному человечеству в целом. As long as there is no AGI, it’s for the best in case there will be some service that advises on all problems, but unable to accept mother of decision and have subjectivity.

The sections in this article are 1 Concept Generalization Using Induction 2 Generalizability Measures 3 Summary 4 Acknowledgment

In my opinion, getting a language for expressing general commonsense knowledge for inclusion in a general database is the key problem of generality in AI.

The range of tasks generative AI can perform for strategic intelligence analysts is explored and it is argued that the most prudent integration of generative AI into intelligence assessment is as a ‘co-pilot’ for human analysts.

This paper explores how a rudimentary AGI and a rudimentary GCI might be implemented through approximating the functions of each, in order to create systems that provide sufficient value to incentivize more sophisticated implementations to be developed over time.