Ethical artificial intelligence (AI): principles and practices

被引:6
作者
Law, Rob [1 ]
Ye, Huiyue [1 ]
Lei, Soey Sut Ieng [2 ]
机构
[1] Univ Macau, Asia Pacific Acad Econ & Management, Fac Business Adm, Dept Integrated Resort & Tourism Management, Macau, Peoples R China
[2] Univ Macau, Fac Business Adm, Dept Integrated Resort & Tourism Management, Macau, Peoples R China
关键词
Artificial intelligence; Ethics; Responsibility; Sustainability; Hospitality; Tourism;
D O I
10.1108/IJCHM-04-2024-0482
中图分类号
F [经济];
学科分类号
02 ;
摘要
Purpose - This study aims to delve into the ethical challenges in artificial intelligence (AI) technologies to underscore the necessity of establishing principles for ethical AI utilization in hospitality and tourism. Design/methodology/approach - A narrative review of research on ethical AI across diverse realms was conducted to reflect current research progress and examine whether sufficient measures have been taken to address issues pertinent to AI utilization in hospitality and tourism. Findings - Ethical issues including privacy concerns, detrimental stereotypes, manipulation and brutalization pertinent to AI utilization are elaborated. How AI should be properly used and managed ethically, responsibly and sustainably is suggested. Research limitations/implications - Five fine-tuned principles for regulating AI use in hospitality and tourism are proposed. Practical implications - A resilient mindset, enhancement of AI context adaptability, equilibrium between development and regulation and collaborative effort of multiple stakeholders are paramount. Originality/value - Through applying the AI evolution trajectory model, this study contributes to the current discourse of managing AI by proposing a framework that addresses the specific characteristics of hospitality and tourism.
引用
收藏
页码:279 / 295
页数:17
相关论文
共 70 条
[1]   Attitudes toward service robots: analyses of explicit and implicit attitudes based on anthropomorphism and construal level theory [J].
Akdim, Khaoula ;
Belanche, Daniel ;
Flavian, Marta .
INTERNATIONAL JOURNAL OF CONTEMPORARY HOSPITALITY MANAGEMENT, 2023, 35 (08) :2816-2837
[2]   An attention-based view of AI assimilation in public sector organizations: The case of Saudi Arabia [J].
Alshahrani, Albandari ;
Dennehy, Denis ;
Mantymaki, Matti .
GOVERNMENT INFORMATION QUARTERLY, 2022, 39 (04)
[3]   The Moral Machine experiment [J].
Awad, Edmond ;
Dsouza, Sohan ;
Kim, Richard ;
Schulz, Jonathan ;
Henrich, Joseph ;
Shariff, Azim ;
Bonnefon, Jean-Francois ;
Rahwan, Iyad .
NATURE, 2018, 563 (7729) :59-+
[4]  
Beheshti Amin, 2023, 2023 IEEE International Conference on Web Services (ICWS), P763, DOI 10.1109/ICWS60048.2023.00103
[5]   The dark side of artificial intelligence in services [J].
Belanche, Daniel ;
Belk, Russell W. ;
Casalo, Luis V. ;
Flavian, Carlos .
SERVICE INDUSTRIES JOURNAL, 2024, 44 (3-4) :149-172
[6]   The most human bot: Female gendering increases humanness perceptions of bots and acceptance of AI [J].
Borau, Sylvie ;
Otterbring, Tobias ;
Laporte, Sandra ;
Fosso Wamba, Samuel .
PSYCHOLOGY & MARKETING, 2021, 38 (07) :1052-1068
[7]   Artificial intelligence's impact on hospitality and tourism marketing: exploring key themes and addressing challenges [J].
Bulchand-Gidumal, Jacques ;
Secin, Eduardo William ;
O'Connor, Peter ;
Buhalis, Dimitrios .
CURRENT ISSUES IN TOURISM, 2024, 27 (14) :2345-2362
[8]   From sci-fi to sci-fact: the state of robotics and AI in the hospitality industry [J].
Cain, Lisa Nicole ;
Thomas, John H. ;
Alonso, Miguel, Jr. .
JOURNAL OF HOSPITALITY AND TOURISM TECHNOLOGY, 2019, 10 (04) :624-650
[9]   The dark side of AI-powered service interactions: exploring the process of co-destruction from the customer perspective [J].
Castillo, Daniela ;
Canhoto, Ana Isabel ;
Said, Emanuel .
SERVICE INDUSTRIES JOURNAL, 2021, 41 (13-14) :900-925
[10]   Service robots in hotels: understanding the service quality perceptions of human-robot interaction [J].
Choi, Youngjoon ;
Choi, Miju ;
Oh, Munhyang ;
Kim, Seongseop .
JOURNAL OF HOSPITALITY MARKETING & MANAGEMENT, 2020, 29 (06) :613-635