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 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.

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 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 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.

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.

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.

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 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.

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.

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 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 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.

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.

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.

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.

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.

Results suggest that the quality of the generated images degrades as more AI-generated data is used for training thus suggesting that generative AI may degenerate.

The model’s focus on comparative evaluations gives entrepreneurs the ability to strategically map the usability of technology for the best possible commercial results and highlights the interaction between utilitarian and hedonistic values.

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 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 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.

This research provides an in-depth comprehensive review of the progress of chatbot technology over time, from the initial basic systems relying on rules to today's advanced conversational bots powered by artificial intelligence. Spanning many decades, the paper explores the major milestones, innovations, and paradigm shifts that have driven the evolution of chatbots. Looking back at the very basic statistical model in 1906 via the early chatbots, such as ELIZA and ALICE in the 1960s and 1970s, the study traces key innovations leading to today's advanced conversational agents, such as ChatGPT a...

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.

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.

A review of adversarial assaults, data poisoning, model inversion attacks, and other methods that potentially jeopardize the integrity and dependability of AI-based image recognition and generation models, focusing on attacks especially targeting AI models used in picture identification and creation tasks.

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.

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.

This statement revises the earlier “WAME Recommendations on ChatGPT and Chatbots in Relation to Scholarly Publications” and seeks to suggest a workable approach to valid concerns about the use of chatbots in scholarly publishing.

This statement revises the earlier “WAME Recommendations on ChatGPT and Chatbots in Relation to Scholarly Publications” and aims to help authors and reviewers understand how best to attribute the use of chatbots in their work and to address the need for all journal editors to have access to manuscript screening tools.

An overview of the extent to which AI is poised to revolutionize 6G networking technologies is provided, and the implementation of appropriate applications that address human needs and challenges are highlighted.

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.

A framework for assessing the use and ethics of AI in modern education contexts regarding human versus AI generated textual and multimodal content, and the broader political, social, and cultural implications is proposed.

The study demonstrated how society may impact and contribute to the development of AI pedagogic learning using an instructional robotics application driven by AI, emphasizing the responsibility of humans as producers to reduce any potential misfortunes.

This statement revises the earlier WAME Recommendations on ChatGPT and Chatbots in Relation to Scholarly Publications to help authors and reviewers understand how best to attribute the use of chatbots in their work and to address the need for all journal editors to have access to manuscript screening tools.

Surprisingly, the results show that while generative AI lowers average prices, it substantially boosts order volume and overall revenue, suggesting that generative AI confers benefits upon artists rather than detriments.

This demo will illustrate the functionality and effectiveness of these tools as well as the pedagogical "guardrails" that are put in place to ensure secure and fair usage of these tools, while sharing insights from the own experience therewith this past summer and fall.

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 findings suggest that generative AI has the potential to revolutionize clinical documentation practices, alleviating administrative burdens and enabling healthcare professionals to focus more on direct patient care.

While the current generation of AI is not about to develop autonomous dangerous behaviours, nevertheless it does present new challenges for regulation, law, and professional practice, and the technological singularity remains a distant theoretical danger.

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 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.

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.

Generative language models have witnessed substantial traction, notably with the introduction of refined models aimed at more coherent user-AI interactions—principally conversational models; yet their capabilities in data analytics, intrusion detection, and misinformation combatting is laudable; yet the ethical and security implications concerning data privacy, surveillance, and potential misuse warrant judicious scrutiny.

In this research a methodology is applied and predicted as a way of transforming interior design education by using Artificial Intelligence (AI) as a trend applied in different Interior design sectors.

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.