Socio-cultural risks of multimodal large generative models of "artificial intelligence" (GenAI) DOI Open Access

Pavel Gennadievich Bylevskiy

Культура и искусство, Год журнала: 2024, Номер 6, С. 213 - 224

Опубликована: Июнь 1, 2024

The article is devoted to the study of conditions for ensuring information security Russian citizens when using generative "artificial intelligence" technologies in socio-cultural sphere. relevance topic due modern high rates development computer neural networks that generate multimedia content: texts, images, sounds and videos. developers classify as intelligence", position them a "new nuclear project" capable radically increasing productivity creativity, receive significant government, corporate investment financing. object models, subject possibility their use sphere creativity associated risks security. purpose determine multimodal research materials are scientific publications recent years (2021–2024) journals HAC list (categories K1, K2) international Scopus (quartiles Q1, Q2) critical analysis possibilities tools. philosophical methodology applied: theoretical cultural analysis, synthesis. novelty application comparison declarations actual potential applications technologies. result an assessment how greatly exaggerated predicted based on positioning question intelligence". real proposed include: incompatibility costs with usefulness results; lowering level professional amateur worsening tastes mass audience; "social engineering", fraud, disinformation, fake news, manipulation public consciousness, "cancellation culture", destruction traditional values substitution identity. means safety recommended.

Язык: Английский

Beware of botshit: How to manage the epistemic risks of generative chatbots DOI
Timothy R. Hannigan, Ian P. McCarthy,

André Spicer

и другие.

Business Horizons, Год журнала: 2024, Номер 67(5), С. 471 - 486

Опубликована: Март 20, 2024

Язык: Английский

Процитировано

33

The paradoxes of generative AI-enabled customer service: A guide for managers DOI Creative Commons
Carla Ferraro, Vlad Demsar, Sean Sands

и другие.

Business Horizons, Год журнала: 2024, Номер 67(5), С. 549 - 559

Опубликована: Апрель 21, 2024

Generative artificial intelligence (Gen AI) presents a disruptive innovation for brands and society, the power of which is still yet to be realized. In context customer service, Gen AI affords companies new possibilities communicate, connect, engage customers. This article draws on scholarly research consultation with service leaders present discuss in specifically chatbots. Importantly, this potential paradoxes enabled adding debate about role impact brands. Specifically, we six namely: connected isolated, lower cost higher price, quality less empathy, satisfied frustrated, personalized intrusive, powerful vulnerable. For each paradox, suggest brand response strategies mitigate downside manage upside.

Язык: Английский

Процитировано

33

How to build a competitive advantage for your brand using generative AI DOI
Yuanyuan Cui, Patrick van Esch, Steven E. Phelan

и другие.

Business Horizons, Год журнала: 2024, Номер 67(5), С. 583 - 594

Опубликована: Май 20, 2024

Язык: Английский

Процитировано

29

Creational and conversational AI affordances: How the new breed of chatbots is revolutionizing knowledge industries DOI Creative Commons

Laavanya Ramaul,

Paavo Ritala,

Mika Ruokonen

и другие.

Business Horizons, Год журнала: 2024, Номер 67(5), С. 615 - 627

Опубликована: Май 24, 2024

The new generative AI paradigm offers unprecedented opportunities for users to tap into. capabilities are increasingly helpful in creative and knowledge-intensive domains that have long been considered a territory of human expertise. breed chatbots is based on large language models, they overcome many constraints plague the everyday use previous technologies. This article employs theory affordances understand how ChatGPT facilitates (i.e., affords) disaffords) usefulness chatbots. We further divide two distinct yet interrelated dimensions affordances: creational conversational. Using 29 interviews with professionals using various sectors, we identify three (content creation enhancement, knowledge acquisition creativity augmentation, task automation) conversational (contextual sensitivity, interactive accessibility, human–AI workflow synergy) affordances. Creational refer system's ability produce novel outputs as well automate routine work, whereas encompass variety interaction possibilities an system. Interestingly, both also involve disaffordances limit types systems. Furthermore, introduce integrated framework shows reinforce each other via meta-affordances accumulation, adaptability. illustrate our findings practical examples offer guidelines these emerging company settings.

Язык: Английский

Процитировано

20

Managing a ChatGPT-empowered workforce: Understanding its affordances and side effects DOI Creative Commons
Jana Retkowsky, Ella Hafermalz, Marleen Huysman

и другие.

Business Horizons, Год журнала: 2024, Номер 67(5), С. 511 - 523

Опубликована: Апрель 6, 2024

Generative AI, particularly ChatGPT, creates new managerial concerns. This article addresses a crucial challenge: While employees are including the tool as their private knowledge assistant in many aspects of daily work, it is difficult for managers to see and understand impact within organization. There more literature on what ChatGPT means business, but we cannot say much long uninformed about its actual use. So, getting an insider's perspective needed think consequences organizations. The grounded qualitative study employees' experiences interacting with among 50 early adopters. First, show how employee-ChatGPT relations develop from private, experimental use into integral part work. Second, identify six affordances: searching information, brainstorming ideas, structuring content, writing first draft, embellishing text, proofing Further, highlight three looming side effects that threaten ties, quality organizations, work roles configured. Accordingly, this offers guidance managing ChatGPT-empowered workforce way aims mitigate these while harnessing opportunities.

Язык: Английский

Процитировано

17

Written by ChatGPT: AI, large language models, conversational chatbots, and their place in society and business DOI
Jan Kietzmann, Andrew Park

Business Horizons, Год журнала: 2024, Номер 67(5), С. 453 - 459

Опубликована: Июнь 1, 2024

Язык: Английский

Процитировано

17

A framework of diversity, equity, and inclusion safeguards for chatbots DOI Creative Commons

Esraa Abdelhalim,

Kemi S. Anazodo,

Nazha Gali

и другие.

Business Horizons, Год журнала: 2024, Номер 67(5), С. 487 - 498

Опубликована: Март 21, 2024

Язык: Английский

Процитировано

13

From HAL to GenAI: Optimizing chatbot impacts with CARE DOI Creative Commons
Cai Feng, Elsamari Botha, Leyland Pitt

и другие.

Business Horizons, Год журнала: 2024, Номер 67(5), С. 537 - 548

Опубликована: Апрель 17, 2024

This article explores the evolution and prospects of conversational chatbots, specifically latest generation referred to as Generative Artificial Intelligence (GenAI) chatbots. comprehensively examines GenAI chatbots' business applications impact across macro, meso, micro levels organizations. At Macro level, this how chatbots reshapes industry dynamics. The Meso perspective delves into organizational changes, while Micro lens focuses on enhancing individual productivity, learning, creativity. However, immense potential is accompanied by risks in four META areas – Matching, Ethics, Technology, Adaptability. In response these challenges, introduces a human-centric CARE framework Collaboration, Accountability, Responsiveness, Empowerment mitigate optimize impacts brought work provides practical guidelines navigate complex landscape implementation.

Язык: Английский

Процитировано

13

Navigating the challenges of generative technologies: Proposing the integration of artificial intelligence and blockchain DOI

Jordan Brewer,

Dhru Patel,

Dennie Kim

и другие.

Business Horizons, Год журнала: 2024, Номер 67(5), С. 525 - 535

Опубликована: Апрель 12, 2024

Язык: Английский

Процитировано

8

Adoption and impact of generative artificial intelligence on blockchain-enabled supply chain efficiency DOI
Gao Cong,

Kay-Hooi Keoy,

Ai‐Fen Lim

и другие.

Journal of Systems and Information Technology, Год журнала: 2025, Номер unknown

Опубликована: Янв. 14, 2025

Purpose The purpose of this study is to investigate the primary determinants influencing acceptance generative artificial intelligence (GAI) adoption within Blockchain-enabled environments. Further research will examine impact GAI on supply chain efficiency (SCE) through enhancement Blockchain. Design/methodology/approach Drawing innovation diffusion theory (IDT), used partial least square structural equation modelling (PLS-SEM) look into hypotheses. data were gathered via online questionnaires from employers Chinese enterprises that have already integrated Findings findings demonstrate relative advantages (RAs), compatibility, trialability and observability a significant positive effect adoption, while complexity harms adoption. Above all, has significantly enhanced Blockchain, thus effectively improving SCE. Practical implications outcomes furnish organizations with valuable insights proficiently integrate Blockchain capability, optimize management bolster market competitiveness. Also, help accelerate successful integration business processes attain Sustainability Development Goals 9, industrial growth diversification. Originality/value To extent author’s knowledge, current status remains largely exploratory, there limited empirical evidence integrating capability GAI. This bridges knowledge gap by fully revealing optimal these two transformative technologies leverage their potential in management.

Язык: Английский

Процитировано

1