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This paper explores the role of integrating behavioral science to refine human-AI interaction, essential for ensuring safety and efficiency. Advocating for empathetic, user-centric design, the paper illustrates how behavioral insights can effectively inform AI-integrated designs, making AI applications more intuitive and ethically aligned with diverse human needs. This approach can ultimately enrich interaction across systems, fostering a more harmonious human-AI synergy. [ABSTRACT FROM AUTHOR]

Despite the rapid advancement of generative Large Language Models (LLMs), there is still limited understanding of their potential impacts on engineering design (ED). This study fills this gap by collecting the tasks LLMs can perform within ED, using a Natural Language Processing analysis of 15,355 ED research papers. The results lead to a framework of LLM tasks in design, classifying them for different functions of LLMs and ED phases. Our findings illuminate the opportunities and risks of using LLMs for design, offering a foundation for future research and application in this domain. [ABSTRACT FROM AUTHOR]

The rapid advancements in Information Technology (IT) have profoundly impacted various aspects of human resource management, leading to the emergence of Electronic Human Resources (E-HR) as a transformative force in HR practices. This study investigates the future of IT and E-HR, examining emerging trends, innovative technologies, and their implications for the HR landscape. Drawing on a comprehensive review of literature and case studies, this paper explores key trends shaping the future of IT and E-HR, including artificial intelligence (AI), machine learning, data analytics, cloud computing, robotic process automation (RPA), and virtual reality (VR) technologies. It examines how these technologies are revolutionizing HR functions such as recruitment and selection, talent management, performance appraisal, learning and development, and employee engagement. Furthermore, the study delves into innovative applications of IT in E-HR, such as chatbots for HR assistance, predictive analytics for talent management, gamification for employee training, virtual reality simulations for onboarding, and blockchain technology for secure HR data management. It assesses the potential benefits, challenges, and ethical considerations associated with the adoption of these technologies in HR practices. Moreover, the paper explores the implications of the future of IT and E-HR for HR professionals, organizations, and the workforce at large. It discusses the evolving role of HR professionals as strategic partners and data-driven decision-makers, the impact of technology on job roles and skill requirements, and the importance of fostering a digital-ready workforce through upskilling and reskilling initiatives. Through a forward-looking analysis, this study offers insights into the future direction of IT and E-HR, highlighting opportunities for HR innovation, organizational transformation, and enhanced employee experiences. It concludes by discussing the strategic imperatives for organizations to embrace digital HR transformation and stay ahead in the dynamic landscape of HR management in the digital age. [ABSTRACT FROM AUTHOR]

Purpose: This paper explores the revolution in accounting driven by technological innovations, highlighting the transition of digitalization from a mere choice to a vital business necessity. The dynamic environment requires accountants to understand and incorporate new technologies to thrive in an ever-evolving business environment. The so-called "new" technologies promise to perform tasks more agile and efficient, thus providing a faster and more cost-effective approach in various sectors (White et al., 2017). In turn, companies' success is intrinsically linked to the ability to invest, use, and exploit these technological innovations effectively (Cong et al., 2018). With the continuous advancement of increasingly sophisticated technologies with disruptive capabilities, new companies have emerged to adopt innovative business models (Watson, 2017), while some established institutions have reinvented their business models. As a result of this dynamic context, the accounting professions are under pressure, as indicated by several studies (e.g., Cai & Singh, 2019; Kaya et al., 2019; Kokina & Blanchette, 2019; Kruskopf et al., 2019; Marshall & Lambert, 2018). At the same time, there is a permanent need to reinvent accounting education (Alderman, 2019; Kokina & Blanchette, 2019; Pan & Seow, 2016), to keep up with current changes. Thus, this paper aims to provide a concise overview of emerging technologies in accounting, highlighting findings that contribute to the up-to-date understanding of the transformative role of these technologies in contemporary accounting practice. Methodology: In this work, a literature review was carried out, looking for articles related to emerging technologies in accounting and published in important and quality scientific journals. The research was conducted in Web of Science (WoS), Scopus and Google Scholar on emerging technologies in accounting (search terms: "emerg* technolog*" and "accounting"), in the period between 2003-2023. Subsequently, the articles to be considered were manually selected, as well as the relevant information in each of them. More precisely, the search was restricted to documents presumed to be scientific articles written in English. Subsequently, through a verification process, we manually analyzed all keywords, titles, and abstracts of the articles, and when necessary, the entire content of each article included in the database was reviewed. Results: The rapid digital transformation that we are witnessing is transversal to all areas and accounting and auditing has undergone several changes in recent years, with a transformation of business models (Tiron-Tudor et al., 2024). As artificial intelligence, blockchain, big data analytics, robotics, cybersecurity, and other advanced technologies permeate the accounting field, we are witnessing not only the modernization of processes, but also the training of professionals to become strategic and analytical agents. These innovations are not simply additions to accounting practice, but transformations that transcend how we understand and perform accounting work. The literature has recognised that the combination of various technologies such as robotic process automation (RPA) and artificial intelligence, blockchain, and big data analytics can be an asset for solving problems in the areas of accounting and auditing (Asatiani et al. 2020; Cooper et al. 2020; Ribeiro et al. 2021). The introduction of new technologies is a complex, time-consuming and, in certain circumstances, costly process. This can be a challenge, particularly for smaller companies, which may not be able to implement new technologies on a scale comparable to larger companies. Consequently, these companies may face difficulties adapting to technological changes (Marr, 2016). The continued advancement of AI and other emerging technologies, combined with an increasing ability to analyze large volumes of data, has increased the threat of significant automation of many jobs in the future (Brynjolfsson & McAfee, 2014). However, it is crucial to remember that even with the extinction of some jobs, new job opportunities will emerge (Marr, 2016). Originality: The theme of accounting transformation driven by emerging technologies is both original and crucial. It originally highlights how traditional accounting practices are reinvented by rapid technological evolution. It's important because companies that don't keep up with these changes risk being left behind in a competitive market. The importance also lies in the changing role of accounting professionals who use advanced technologies to aid decisionmaking. In short, this theme highlights the need for organizations to understand and adopt emerging technologies to ensure their sustainability and growth in a dynamic business environment. [ABSTRACT FROM AUTHOR]

Human-AI collaboration (HAIC) is a promising strategy to transform engineering design and innovation, yet how to design artificial intelligence (AI) to boost HAIC remains unclear. Accordingly, this paper provides a new, unified, and comprehensive scheme for classifying AI roles. On this basis, we develop an AI design framework that outlines expected AI capabilities, interactive attributes, and trust enablers across various HAIC scenarios, offering guidance for integrating AI into human teams effectively. We also discuss current advancements, challenges, and prospects for future research. [ABSTRACT FROM AUTHOR]

This study provides insights into the capabilities and performance of generative AI, specifically ChatGPT, in engineering design. ChatGPT participated in a 48-hour hackathon by instructing two participants who acted out its instructions, successfully designing and prototyping a NERF dart launcher that finished second among six teams. The paper highlights the potential and limitations of generative AI as a tool for ideation, decision-making, and optimization in engineering tasks, demonstrating the practical applicability of generating viable design solutions under real-world constraints. [ABSTRACT FROM AUTHOR]

The role of Artificial Intelligence (AI) in design is clearly growing. One of the tenets of the paper is that stimulation could be among the design processes mostly benefitting from the introduction of AI. Available contributions have been reviewed to understand the current support AI can give in design inspiration and ideation. We also reflected on what AI should and ahould not do in the future: a framework is proposed. Based on the reviewed contributions, in no case, AI is seen as a substitute of designers. Most contributions originate from the IT domain and have a demonstrative purpose. [ABSTRACT FROM AUTHOR]

Artificial Intelligence (AI) has swiftly emerged as a transformative, dynamism and reforming numerous facets our lives. According to the International Data Corporation report spending on AI is projected to reach $97.9 billion by 2023. It means businesses across different industries embrace AI technology to improve their operations, gain a competitive edge, and unlock new opportunities for business. However, the increasing adoption of AI in business also pretence some challenges that must be addressed. In this article discussed the future of artificial intelligence, its opportunities, and identified major challenges in presents for business. This paper delivers insights into the current state of AI adoption and its potential for future growth to drive important progresses in business operations, including enlarged production, cost savings, and enriched decision-making. The paper concludes by providing recommendations for businesses looking to accept AI and highlights the need for a collective approach between businesses, policymakers, and other stakeholders. [ABSTRACT FROM AUTHOR]

This research explores the transformative potential of AI-based credit scoring and its profound impact on financial inclusion. The financial industry is experiencing a paradigm shift, with AI and machine learning at its core. Traditional credit scoring models have struggled to provide equitable access to credit, particularly for marginalized communities. AI-based credit scoring promises enhanced precision, faster decision-making, and broader credit access. However, it also raises ethical concerns and necessitates robust regulatory frameworks to ensure fairness, transparency, and data privacy. This paper not only highlights the critical role of regulatory oversight but also offers valuable insights for policymakers, financial institutions, and fintech companies aiming to harness AI's potential while addressing challenges to foster a more inclusive financial landscape. Keywords: AI-based credit scoring, Financial inclusion, Fintech companies, Inclusive financial [ABSTRACT FROM AUTHOR]

In design education, technical drawing training requires a large amount of resources. The aim of this paper is to propose a concept for an artificial intelligence-based tutoring system that partly automates technical drawing education. The educational needs of the students are defined via an error analysis of 100 corrected drawing exercises and the definition of 3 error clusters with 134 different error types. Three sub-concepts with a collection of training exercises are proposed for the tutoring system to mitigate these errors. The resulting concept is validated by a survey with 29 students. [ABSTRACT FROM AUTHOR]