On the Commoditization of Artificial Intelligence

Abonamah, Abdullah A.; Tariq, Muhammad Usman; Shilbayeh, Samar

doi:10.3389/fpsyg.2021.696346

Cited by 23 publications

(9 citation statements)

References 50 publications

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“…In this vein, following Carr's (2003Carr's ( , 2004 seminal contributions and subsequent literature on the commoditization of information technology (IT; e.g. Abonamah et al, 2021;Bronkhorst et al, 2019;Neirotti & Paolucci, 2007), AI may increasingly turn convergent thinking into a kind of 'commodity', providing less (strategic) differentiation between users.…”

Section: The Individual Levelmentioning

confidence: 99%

Creativity and artificial intelligence: A multilevel perspective

Grilli,

Pedota

2024

Creat Innov Manage

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Artificial intelligence is likely to revolutionize multiple aspects of organizational creativity. Through a multilevel theoretical lens, the present paper reviews the extant body of knowledge on creativity at individual, team and organizational levels, and draws a series of propositions on how the implementation of artificial intelligence may affect each level. Spanning cognitive, behavioural and psychological domains, our propositions aim at directing future research efforts on important creativity‐related areas likely to be affected by artificial intelligence, including the trade‐off between convergent and divergent thinking, the distribution of skills within groups, and the absorptive capacity of organizations.

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Section: The Individual Levelmentioning

confidence: 99%

Creativity and artificial intelligence: A multilevel perspective

Grilli,

Pedota

2024

Creat Innov Manage

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“…Weak AI, also known as narrow AI, refers to AI-based systems designed for specific tasks or areas. Unlike Strong AI, Weak AI focuses on solving the particular problems within a limited context (Abonamah et al, 2021;Müller, 2024). AI represents a unique paradigm shift, offering the transformative opportunities to enhance learning methodologies and accelerate scientific discovery.…”

Section: Literature Reviewmentioning

confidence: 99%

Philosophy of future: analytical overview of interaction between education, science, and artificial intelligence in the context of contemporary challenges

2024

Futurity Philosophy

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Currently, artificial intelligence is changing the future landscape of technology and digitalization and transforming the way knowledge is generated and shared in education and science. The aim of the article is to interpret the future through interactions between education, science, and AI and to outline their potential challenges when digital transformations occur. While answering the research questions the mixed-methods approach was applied. For the study both quantitative and qualitative data was collected through descriptive and empirical survey. The empirical survey included computer-assisted web interview to assess the most relevant concepts according to the participants responses. The study involved 42 participants that were selected randomly. The selection criteria concerned educational background, previous experience, representation of diverse perspectives, theories, or approaches within the philosophy, active engagement in educational practice, and wiliness to participate. To analyse the data statistical software NVivo was applied. Approximately 70 recent scientific works were studied to present the problem through multifaceted approach. The findings show the participants’ anticipations are related to the cognitive load theory, constructivist theory, and socio-cultural theory. A number of challenges threatening innovative developments arise within the educational and scientific environments. They include ethical concerns, misinformation, digital divide, unequal infrastructure, lack of regulation, lack of digital skills, resistance to change, technology integration, and limited digital pedagogy. Ethics plays a crucial role in shaping digital transformations in education and science. The category of academic virtue is closely connected to ethical and responsible use of Ai. The paradigm of academic virtue includes ethical of knowledge, collaboration, responsibility, honesty, accuracy, adaptability, openness. AI brings automated content creation, language processing opportunities, real-time translation, and enhanced accessibility and, therefore, changes communication in the field of education and science. The research showed that the principles of effective implementation of AI in education and science include philosophical, educational, and ethical dimensions.

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“…ANI is goal-oriented and utilized to perform particular or limited tasks. Almost all AI systems, including medical AI systems, belong to the ANI category [32]. In contrast, AGI remains a theoretical concept that has not yet been achieved.…”

Section: Definitions Of Artificial Intelligence Machine Learning and ...mentioning

confidence: 99%

Artificial Intelligence in Endoscopic Ultrasonography-Guided Fine-Needle Aspiration/Biopsy (EUS-FNA/B) for Solid Pancreatic Lesions: Opportunities and Challenges

Qin,

Ran,

Chen

et al. 2023

Diagnostics

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Solid pancreatic lesions (SPLs) encompass a variety of benign and malignant diseases and accurate diagnosis is crucial for guiding appropriate treatment decisions. Endoscopic ultrasonography-guided fine-needle aspiration/biopsy (EUS-FNA/B) serves as a front-line diagnostic tool for pancreatic mass lesions and is widely used in clinical practice. Artificial intelligence (AI) is a mathematical technique that automates the learning and recognition of data patterns. Its strong self-learning ability and unbiased nature have led to its gradual adoption in the medical field. In this paper, we describe the fundamentals of AI and provide a summary of reports on AI in EUS-FNA/B to help endoscopists understand and realize its potential in improving pathological diagnosis and guiding targeted EUS-FNA/B. However, AI models have limitations and shortages that need to be addressed before clinical use. Furthermore, as most AI studies are retrospective, large-scale prospective clinical trials are necessary to evaluate their clinical usefulness accurately. Although AI in EUS-FNA/B is still in its infancy, the constant input of clinical data and the advancements in computer technology are expected to make computer-aided diagnosis and treatment more feasible.

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On the Commoditization of Artificial Intelligence

Cited by 23 publications

References 50 publications

Creativity and artificial intelligence: A multilevel perspective

Creativity and artificial intelligence: A multilevel perspective

Philosophy of future: analytical overview of interaction between education, science, and artificial intelligence in the context of contemporary challenges

Artificial Intelligence in Endoscopic Ultrasonography-Guided Fine-Needle Aspiration/Biopsy (EUS-FNA/B) for Solid Pancreatic Lesions: Opportunities and Challenges

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