Top Research Papers on AI

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.

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.

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.

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 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.

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...

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.

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...

In recent years, the advent of cutting-edge machine-learning techniques and approaches has laid bare the vulnerabilities of states and societies. These have been unprepared to respond effectively to gruelling problems raised by, for example, algorithmic bias, the management of data and the disruptive effects of artificial intelligence (AI). Perhaps for this reason, states and non-state actors alike have accelerated their efforts to tame AI developments through comprehensive regulations and strategies. Yet only time will tell if these unprecedented efforts to regulate AI will be successful, sin...

The results suggest that the media has a fairly realistic and practical focus in its coverage of the ethics of AI, but that the coverage is still shallow.

It is revealed that stickiness to traditional talent acquisition methods negatively moderates the association between adoption and actual usage of AI technology for talent acquisition, and it is found that task and technology characteristics influence the task technology fit ofAI technology for Talent acquisition.

This study enriches information systems literature by extending the understanding of collaboration with AI in the workplace to drive future research in this field and reveals three central predictors for AI identity threat in theworkplace: changes to work, loss of status position, and AI identity predicting AI identitythreat in the workplaces.

ATLAS OF AI: Power, Politics, and the Planetary Costs of Artificial Intelligence by Kate Crawford. New Haven, CT: Yale University Press, 2021. 336 pages. Hardcover; $28.00. ISBN: 9780300209570. *Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence is Kate Crawford's analysis of the state of the AI industry. A central idea of her book is the importance of redefining Artificial Intelligence (AI). She states, "I've argued that there is much at stake in how we define AI, what its boundaries are, and who determines them: it shapes what can be seen and contested" (p. 217)...

Remote sensing (RS) plays an important role gathering data in many critical domains (e.g., global climate change, risk assessment and vulnerability reduction of natural hazards, resilience of ecosystems, and urban planning). Retrieving, managing, and analyzing large amounts of RS imagery poses substantial challenges. Google Earth Engine (GEE) provides a scalable, cloud-based, geospatial retrieval and processing platform. GEE also provides access to the vast majority of freely available, public, multi-temporal RS data and offers free cloud-based computational power for geospatial data analysis....

It is demonstrated that AI is not merely an abstract idea but an actual technology stack encompassing infrastructure, models, applications, and an ecosystem of applications and companies relying on this stack encompassing infrastructure, models, applications, and an ecosystem of applications and companies relying on this stack.

The AI RMF is intended to be practical, to adapt to the AI landscape as AI technologies continue to develop, and to be operationalized by organizations in varying degrees and capacities so society can benefit from AI while also being protected from its potential harms.

It is shown that AI applications are primarily narrow in terms of tasks, modality, and anatomic region; a majority of the available AI functionalities focus on supporting the “perception” and “reasoning” in the radiology workflow.

Artificial intelligence (AI) and machine learning have significantly influenced many facets of the healthcare sector. Advancement in technology has paved the way for analysis of big datasets in a cost- and time-effective manner. Clinical oncology and research are reaping the benefits of AI. The burden of cancer is a global phenomenon. Efforts to reduce mortality rates requires early diagnosis for effective therapeutic interventions. However, metastatic and recurrent cancers evolve and acquire drug resistance. It is imperative to detect novel biomarkers that induce drug resistance and identify ...

Artificial Intelligence (AI) has vast potential in marketing. It aids in proliferating information and data sources, improving software's data management capabilities, and designing intricate and advanced algorithms. AI is changing the way brands and users interact with one another. The application of this technology is highly dependent on the nature of the website and the type of business. Marketers can now focus more on the customer and meet their needs in real time. By using AI, they can quickly determine what content to target customers and which channel to employ at what moment, thanks to...

The relevant literature, reports, and representative incidents are reviewed to construct a typology of the malicious use and abuse of systems with AI capabilities, suggesting four types of malicious abuse of AI.

Artificial intelligence (AI) literacy has emerged to equip students with digital skills for effective evaluation, communication, collaboration, and ethical use of AI in online, home, and workplace settings. Countries are increasingly developing AI curricula to support students' technological skills for future studies and careers. However, there is a lack of reviews summarizing AI education in secondary schools. This study aims to provide an up-to-date summary of the literature, informing researchers, policymakers, and educators on fostering students' AI literacy. A thematic analysis of 50 AI e...

This framework is built from a scoping review of existing solutions of ethical AI guidelines, frameworks and technical solutions to address human values such as self-direction in healthcare, and spans the entire length of the AI lifecycle: data management, model development, deployment and monitoring.

The results provide insights into an overview of the AI used for education domain, which helps to strengthen the theoretical foundation of AI in education and provides a promising channel for educators and AI engineers to carry out further collaborative research.

This study aims to explore the characteristics of tourism AI start-ups, the AI technological domains financed by Venture Capitalists (VCs), and the phases of the supply chain where the AI domains are in high demand.

This study provides managers with elements to be reconfigured or added in order to take advantage of the full benefits of AI, and therefore improve organizations’ performance, the profitability of their investments in AI transformation projects, and some competitive advantage.