The Challenges and Approaches of Generative Artificial Intelligence (GenAI) to promote Educational Innovation DOI
Xiu Li

International Journal of Computer Science and Information Technology, Год журнала: 2024, Номер 4(3), С. 400 - 407

Опубликована: Дек. 23, 2024

The widespread application of generative artificial intelligence technology in the education sector has opened up infinite possibilities for educational innovation. This article analyzes core elements, practical applications, and characteristics technology, examines challenges faced by sector. These cover issues such as instability AI algorithms, complexity protecting students' personal information, verifying authenticity generated content, quality control. Corresponding solutions have also been proposed, including optimizing algorithms to improve stability accuracy model, strengthening privacy protection measures, constructing a content evaluation system promote efficient A prospect was made on development trend field its promotion

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

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

To ChatGPT, or not to ChatGPT: Navigating the paradoxes of generative AI in the advertising industry DOI Creative Commons
Elena Osadchaya, Ben Marder, Jennifer A. Yule

и другие.

Business Horizons, Год журнала: 2024, Номер 67(5), С. 571 - 581

Опубликована: Май 10, 2024

Generative AI technology is evoking both excitement and fear about its potential impact across a host of industries including advertising where it expected to have significant disruptive effect. This article utilizes the paradox lens explore implications text-to-text generative in form ChatGPT for industry. Drawing on 48 interviews with professionals, we identify three operational paradoxes which are associated conducting research, creativity, efficiency, one psychological related work identity. To gain competitive advantage urge practitioners adopt confrontation-based 'coping strategy' navigate these paradoxes. can be mobilized through either an ambidexterity or contingency management approach. Specific tactics outlined.

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

Your synthetic teammate:Enriching new product development with generative AI DOI Creative Commons
Maya Kumar, Stefanie Beninger,

Alex Reppel

и другие.

Business Horizons, Год журнала: 2025, Номер unknown

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

1