Generative AI and ChatGPT: Applications, challenges, and AI-human collaboration

Journal of Information Technology Case and Application Research, Journal Year: 2023, Volume and Issue: 25(3), P. 277 - 304

Published: July 3, 2023

Language: Английский

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Generative AI

Business & Information Systems Engineering, Journal Year: 2023, Volume and Issue: 66(1), P. 111 - 126

Published: Sept. 12, 2023

The term "generative AI" refers to computational techniques that are capable of generating seemingly new, meaningful content such as text, images, or audio from training data. widespread diffusion this technology with examples Dall-E 2, GPT-4, and Copilot is currently revolutionizing the way we work communicate each other. In article, provide a conceptualization generative AI an entity in socio-technical systems models, systems, applications. Based on that, introduce limitations current agenda for Business & Information Systems Engineering (BISE) research. Different previous works, focus context information and, end, discuss several opportunities challenges unique BISE community make suggestions impactful directions

Language: Английский

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The ethics of ChatGPT – Exploring the ethical issues of an emerging technology

International Journal of Information Management, Journal Year: 2023, Volume and Issue: 74, P. 102700 - 102700

Published: Sept. 9, 2023

This article explores ethical issues raised by generative conversational AI systems like ChatGPT. It applies established approaches for analysing ethics of emerging technologies to undertake a systematic review possible benefits and concerns. The methodology combines identified Anticipatory Technology Ethics, Ethical Impact Assessment, Issues Emerging ICT Applications with AI-specific from the literature. These are applied analyse ChatGPT's capabilities produce humanlike text interact seamlessly. analysis finds ChatGPT could provide high-level societal benefits. However, it also raises significant concerns across social justice, individual autonomy, cultural identity, environmental issues. Key high-impact include responsibility, inclusion, cohesion, safety, bias, accountability, impacts. While current discourse focuses narrowly on specific such as authorship, this systematically uncovers broader, more balanced range worthy attention. Findings consistent research industry priorities AI. Implications need diverse stakeholder engagement, considering risks holistically when developing applications, multi-level policy interventions promote positive outcomes. Overall, demonstrates that applying technology methodologies can rigorous, comprehensive foundation guide action around impactful paper advocates sustaining broad, perspective use cases unfold realize while addressing downsides.

Language: Английский

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Generative artificial intelligence in marketing: Applications, opportunities, challenges, and research agenda

International Journal of Information Management, Journal Year: 2023, Volume and Issue: 75, P. 102716 - 102716

Published: Oct. 18, 2023

Language: Английский

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Generative artificial intelligence

Electronic Markets, Journal Year: 2023, Volume and Issue: 33(1)

Published: Dec. 1, 2023

Abstract Recent developments in the field of artificial intelligence (AI) have enabled new paradigms machine processing, shifting from data-driven, discriminative AI tasks toward sophisticated, creative through generative AI. Leveraging deep models, is capable producing novel and realistic content across a broad spectrum (e.g., texts, images, or programming code) for various domains based on basic user prompts. In this article, we offer comprehensive overview fundamentals with its underpinning concepts prospects. We provide conceptual introduction to relevant terms techniques, outline inherent properties that constitute AI, elaborate potentials challenges. underline necessity researchers practitioners comprehend distinctive characteristics order harness potential while mitigating risks contribute principal understanding.

Language: Английский

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Drivers of generative AI adoption in higher education through the lens of the Theory of Planned Behaviour

Technology in Society, Journal Year: 2024, Volume and Issue: 77, P. 102521 - 102521

Published: March 25, 2024

Drawing on the Theory of Planned Behaviour (TPB), this study investigates relationship between perceived benefits, strengths, weaknesses, and risks generative AI (GenAI) tools fundamental factors TPB model (i.e., attitude, subjective norms, behavioural control). The also structural association variables intention to use GenAI tools, how latter might affect actual usage in higher education. paper adopts a quantitative approach, relying an anonymous self-administered online questionnaire gather primary data from 130 lecturers 168 students education institutions (HEIs) several countries, PLS-SEM for analysis. results indicate that although lecturers' students' perceptions weaknesses differ, strengths advantages technologies have significant positive impact their attitudes, control. core positively significantly intentions which turn adoption such tools. This advances theory by outlining shaping HEIs. It provides stakeholders with variety managerial policy implications formulate suitable rules regulations utilise these while mitigating impacts disadvantages. Limitations future research opportunities are outlined.

Language: Английский

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The impending disruption of creative industries by generative AI: Opportunities, challenges, and research agenda

International Journal of Information Management, Journal Year: 2024, Volume and Issue: 79, P. 102759 - 102759

Published: Feb. 8, 2024

Language: Английский

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From Scarcity to Abundance: Scholars and Scholarship in an Age of Generative Artificial Intelligence

Academy of Management Journal, Journal Year: 2023, Volume and Issue: 66(6), P. 1617 - 1624

Published: Dec. 1, 2023

Language: Английский

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ChatGPT and generative artificial intelligence: an exploratory study of key benefits and challenges in operations and supply chain management

International Journal of Production Research, Journal Year: 2023, Volume and Issue: 62(16), P. 5676 - 5696

Published: Dec. 20, 2023

ChatGPT and generative artificial intelligence (Gen-AI) are transforming firms supply chains. However, the empirical literature reporting benefits, challenges, outlook of these nascent technologies in operations chain management (OSCM) is limited. This study surveys current projects perceptions US (n = 119) UK 181) We found that range from proof-of-concept to full implementation, with a main focus on operational gains, such as improved customer satisfaction, cost minimisation, process efficiencies. The challenges concern data, technological organisational issues. Expected benefits dominated by savings enhanced experience, but also include increased automation sustainability. Industries were cluster around six groups according perceived implementation challenges. Our findings contribute emerging Gen-AI use OSCM, practice mapping outlook, maturity level

Language: Английский

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Artificial intelligence and consumer behavior: From predictive to generative AI

Journal of Business Research, Journal Year: 2024, Volume and Issue: 180, P. 114720 - 114720

Published: May 23, 2024

Language: Английский

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