AIRSI 2024
Generative AI Challenges
10-12 June 2024
University of Zaragoza, Spain
Deadline: 31 March 2024
AIRSI2024 is an international conference focused on the application and effects of technologies that are part of the so called Industry 4.0 (artificial intelligence, robots, virtual assistants, avatars, metaverse, augmented reality, virtual reality, big data, blockchain, NFTs, etc.). Specifically, the aim of this conference is to deepen and broaden the current understanding of the use of all these new technologies to offer all kind of products and a wide variety of services (e.g., tourism, hospitality, marketing, banking, education, health, etc.) by focusing on their effects on value creation, relationship outcomes (e.g., satisfaction, loyalty, engagement, profitability), customer perceptions (e.g. trust) and concerns (e.g. privacy, security, etc.), ethical issues and other related aspects.
Please, note that AIRSI2024 will only be held face-to-face in Zaragoza (SPAIN) 10th-12th June. It will not be held online as we will focus all our attention on the participants who physically accompany us. The first edition was face-to-face and the following five editions were held virtually and in the AIRSI Metaverse. Over the years, a large community has grown up around AIRSI and it is important to get to know each other personally. Therefore, we encourage you to participate in person in the ARISI2024 Physical Edition.
Topics of interest for the Conference include, but are not limited to:
- Artificial Intelligence, Digital Transformation
- Immersive Technologies: Virtual reality, Augmented reality, Metaverse
- Robots, Avatars, Chatbots, Virtual Assistants, Smart speakers
- Social media, Virtual influencers, Omnichannel strategies
- Internet of Things, Big Data, Blockchain, NFTs, etc.
Possible contributions
Interested authors are invited to submit papers related to any of the aforementioned areas. All theoretical and methodological (both qualitative and quantitative) approaches are equally appreciated.
– Extended abstracts: Should not exceed 1,000 words excluding tables, figures and references. The extended abstract should include keywords at the beginning and the list of relevant references at the end. While writing your abstract, please consider covering the research objectives and questions, the research method, preliminary results or findings and originality of paper.
– Work in progress: Should not exceed 4,000 words. However, these papers, which are still work in progress, are expected to cover a short literature review, main research questions, methodological frame and preliminary results of research in order to get constructive feedback during the presentation.
– Full papers: 6,000 words in total, including references.
When submitting papers, authors should indicate whether or not their work is based on a doctoral thesis in progress.
Best paper awards
The scientific committee will select the best papers in each category to receive the award for the best Extended abstracts, Work in progress and Full papers.
In awarding these prizes, a distinction will be made between papers that are based or not a doctoral thesis.
More info here on the conference website.
Special Issue in International Journal of Information Management
“Lights and shadows of generative AI for individuals, organisations, and society”
The deadline for the special issue is November 31, 2024.
Potential illustrative research questions
This special issue invites proposals focused not only on the challenges and opportunities, but also on the risks and threats associated with the widespread use of GenAI.
Opportunities and challenges:
· What is the effect of using GenAI and other new AI applications in business practices? Are there differences across industries and sectors (e.g., banking, hospitality and tourism, healthcare)?
· What are the main challenges and long-term benefits of using GenAI and other new AI applications in the contexts of teaching, academic research, and business practice?
· How can GenAI and other new AI applications be used to address global challenges (e.g., Sustainable Development Goals)?
· What are the main determinants and barriers to consumers’ and managers’ adoption of GenAI and other new AI applications? How does the use of GenAI and other new AI applications affect customer and manager decision making?
· How can GenAI contribute to personalization and efficiency in the communication and advertising processes?
· How does the use of GenAI and other new AI applications affect the different stages of the customer journey (e.g., pre-purchase, purchase, and post-purchase)? How can GenAI and other forms of AI improve the customer or user experience?
· How might reliance on GenAI enhance or limit human creativity and critical thinking in different fields?
· How can specific individuals (e.g., people with disabilities) benefit from the use of GenAI and other new AI applications?
Risks and threats:
· What are the key digital ethical issues (e.g., fairness, biases, privacy, security) caused by the use of GenAI and its algorithms? How could these ethical issues be mitigated?
· How can the use of GenAI applications for manipulation of the public opinion and consumer decision making be reduced or even avoided?
· How is GenAI and other new AI applications affecting the labor market? Will employees be replaced by GenAI and how?
· How might differences in access to and use of GenAI exacerbate social and economic inequalities?
· What are potential contextual conditions (e.g., country and organizational cultures) that shape how individuals and organizations use GenAI and other new AI applications?
· What challenges do GenAI applications pose for existing legal and regulatory frameworks, and how might legal frameworks be developed to address GenAI-related risks?
