مشخصات مقاله:
عنوان فارسی مقاله:
تاثیر هوش مصنوعی بر تجارب رویداد: یک رویکرد تکنیکی سناریویی
عنوان انگلیسی مقاله:
The future of human-artificial intelligence nexus and its environmental costs
کلمات کلیدی مقاله:
هوش مصنوعی تجربه ی مشتری، منطق غالب خدمات، ارزش آفرینی مشترک صنعت رویدادها، سناریو، رویکرد تکنیک
مناسب برای رشته های دانشگاهی زیر:
کامپیوتر، برق
مناسب برای گرایش های دانشگاهی زیر:
هوش مصنوعی
وضعیت مقاله انگلیسی و ترجمه:
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فهرست مطالب:
Keywords
1. Introduction
2. The future shape of human-artificial intelligence nexus and its environmental costs
3. The environmental costs of machine learning research
4. The environmental costs of gratuitous generalisation capabilities
5. Conclusion
Acknowledgment
References
قسمتی از مقاله انگلیسی:
Introduction
The advent of artificial intelligence (AI) and subsequent transformation of the global business landscape has been predicted for several decades, portraying it as one of the most disruptive technologies over the next 10 years (Panetta 2017). Despite the potential of artificial intelligence, several questions are raised: How will AI improve over the next years? Will AI be able to surpass human intelligence, and in which industries can it be applied? Today, we witness AI on the market in form of robots, virtual assistants and self-driving cars, permeating our everyday lives (Tegmark 2017; Murphy et al. 2017; Devlin 2018; Wirtz et al. 2018) and allowing businesses and customers to take advantage of the technology in its early stages (Sicular and Brant 2018; The Future of Life Institute 2018). In contributing to a critical discourse around AI, researchers have questioned whether these latest technological advancements are creating real value, or whether AI may be overhyped. In this context, Ford (2018) coined the notion of ‘AI winter’, highlighting the existing discrepancy between market breakthrough predictions and actual progress. While the initial seeds of AI can be dated back to the early 1980s, it is evident that today AI has achieved progress across multiple industries with a potential to perform even better (Ford 2018). For instance, AI has been implemented in medicine (Becker 2019), manufacturing (Lee et al. 2018), the service fields and tourism context (Ivanov and Webster 2017; Huang and Rust 2018; Tussyadiah and Miller 2019). Among the world’s industries, the service, tourism and events industries have always been at the forefront of digital advancement (Buhalis and Law 2008; Martin and Cazarré 2016). The proliferation of latest information and communication technologies (ICTs) has led to the rise of smart and intelligent solutions applied as resources in interconnected business environments and ecosystems (Gretzel 2011; Neuhofer et al. 2015; Gretzel et al. 2015; Femenia-Serra et al. 2018). The events industry has been pioneering in the arena of digital technologies. For instance, large-scale events have used various forms of ICTs, such as online ticketing solutions, event apps and wearable devices to engage customers (Solaris 2018) and to create outstanding customer experiences and value (Martin and Cazarré 2016; Backman 2018). In addition, we can witness sprinkles of avantgarde AI applications (e.g. event bots) across the industry. The future potential of events however depends on how quickly AI evolves. By envisioning events that are highly customised to user preferences, scholars suggest that event organisers will move away from having dedicated event apps to delivering content through messaging platforms via personal event bots (Davidson 2019).