Dear all,
This online symposium is being jointly hosted by our Chapter and ASIS&T AI SIG: ECR and PhD symposium on AI
The symposium will take place on Monday 25th March 2024, 1-3 PM UK time. There is still time to register to attend @ the events menu in iconnect, or by clicking on this link
>>>>>Below is the confirmed agenda<<<<<
Each speaker will speak for around 15 minutes to present - with 5 minutes for questions.
We will take a 5 minute break after the third talk
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Development and Validation of the AI Literacy Skills Scale: Navigating the Educational Landscape of Generative AI
Elaine Kong, University of Pittsburgh, USA
Abstract: This presentation delves into the development and empirical validation of the AI Literacy Skills Scale, with a special focus on ethical considerations in AI literacy. In an era increasingly influenced by generative AI technologies like ChatGPT, the imperative for comprehensive AI literacy, especially in ethical domains is paramount. This scale's creation involved extensive literature reviews and empirical research, leading to a tool that evaluates affective, cognitive, and social-relational dimensions of AI literacy, while emphasizing ethical engagement. The presentation details the scale's multifaceted nature and its thorough validation process, highlighting its capability to assess AI understanding and proficiency, alongside addressing broader educational implications of AI. We will share insights from validation studies, demonstrating the scale's effectiveness and versatility in various educational settings. The session emphasizes the criticality of AI literacy in preparing both educators and learners for an AI-integrated future. It advocates for an educational approach that encompasses ethical, critical, and proactive engagement with AI. This initiative marks a significant advancement in equipping individuals for an AI-driven future, focusing on ethical discernment and responsible AI use. The presentation will interest professionals in information and educational fields, and those seeking a comprehensive view of the scale's development, application, and its potential in fostering ethical and critical engagement with AI technologies in education.
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A qualitative literature review of the impact of artificial intelligence on wearable information in leisure
Lee Pretlove, University of Sheffield, UK
Information and data from wearable technology are used increasingly in everyday leisure activities. In the leisure pursuit of running, adopting wearable technology and practices surrounding the resulting data and information is an intrinsic part of the running experience (Esmonde, 2020; Karahanoğlu et al., 2021). Wrist-worn smartwatches are the most common form of wearable to create and collect data for use during a run and afterwards for analysis and social comparison. Perhaps not yet understood in everyday life information studies is the role of artificial intelligence in the resulting runners' wearable information.
The proposed literature review presentation first examines the extent of research within an everyday life information context that has addressed the impact of AI technologies compared to the extent of wider LIS that has examined the impact of AI on library and information services. The second part of the review looks beyond LIS literature toward biomedical wearable sensor literature and computer science literature that has focussed on artificial intelligence developments in wearable computing as a scan of the potential opportunities and developments that could impact users of wearable information in their everyday lives.
The qualitative literature review uses Noblit and Hare's (1988) meta-ethnography of over forty articles across the fields. The interpretative results have shown that whilst an understanding of the impacts of wearable information in leisure are increasing, research has not yet attempted to research the impacts of artificial intelligence within everyday life information contexts, especially compared to LIS literature on libraries and institutions. Biomedical and computer science literature has revealed opportunities for ELIS and AI, which the presentation will discuss further.
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Design, Creation, and Participation: How to include people for a more ethical design process
Alicia Takaoka, Norwegian University of Science and technology (NTNU), Norway
With the rise of AI, algorithms, and autonomous systems embedded in our daily lives, researchers as well as the general public are questioning the process. It is evident that biases are embedded into systems that are intended to help people, but no input in the design, creation, or development process is gathered from those respective communities. In this presentation, the definitions of design, creation, and testing will be presented. Strategies to identify and solicit participation from people usually omitted from the decision-making process will be identified, and a sample case will be shared.
BREAK
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AI and mobile applications in IIT libraries in India
Brijpal Singh, University of Delhi, Delhi, India
The explosive growth of AI based mobile applications has generated new obstacles in delivering mobile access to online information. This study provides information on the state of mobile applications in IIT libraries and assesses how mobile-based applications enhance library services to satisfy the users information needs instantly. The study adopted the survey method with the help of a structured questionnaire as a tool for data collection. The questionnaire was circulated personally among five librarians and received all duly filled-in questionnaires, eliciting a response rate of 100%. And analyzed responses received from the respondents with the help of descriptive statistics and presented them in tables.
The study's results reveal the disintegration of mobile-based applications to enhance library services and improve the delivery of library services in high demand. By contrast, the studied IIT libraries provided AL based services like ChatGTP, WeChat and ChatBoat facilities 100% and meagre mobile-based library services 80% such as email alerts, database accessibility & discovery, Ask-a-Librarian, and mobile responsive websites. Furthermore, the study identified a lack of skilled manpower (60%), support from institute authorities (60%), and Mobile-based Library Services Policy (40%) are significant problems in implementing mobile library services to improve the return on investment (ROI).
The study suggested that the studied libraries must design and develop mobile apps to deliver library services and improve the mobile library apps, MOPAC, and mobile library instructions as major lacunae.
The research is notable since it is one of the first to shed light on the current degree of use of mobile technology and mobile-based library services in IIT libraries, which are still in their infancy. It is hoped that from this study, AI-based mobile applications in libraries will be highly effective when LIS professionals are taken seriously to implement and advocate in their libraries to facilitate the instant accessibility and discovery of library collections and services on the users; mobile devices.
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Enhancing Personalization Services in Libraries through Conversational Recommender Systems
Mohammad Haris, Aligarh Muslim University, India
The exponential growth of literature has led to a state of information overload, making increasingly challenging for users to navigate information efficiently. Recommender systems have emerged as crucial tools to address this issue by offering personalized suggestions tailored to individual preferences.The conventional model of recommender systems relies on content and user preference similarity, often assuming a one-shot interaction paradigm. This study explores a paradigm shift by introducing Conversational Recommender Systems (CRS) to libraries, enabling a more interactive and nuanced user experience. CRS employs conversational AI to delve into multi-round natural language conversations, extracting detailed information about user intentions. Unlike traditional systems, CRS fosters bidirectional communication, refining the accuracy of user preference identification. In library settings, where precise and relevant information is paramount, understanding users through conversational interactions becomes pivotal. This research sheds light on the transformative potential of incorporating conversational AI into recommender systems, urging information science researchers to explore this burgeoning field.
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Discourse and Power in Urban AI: Comparative Governance in Shenzhen, Boston, and Barcelona
Jun Zhang, University of Sheffield, UK
Jing Wang, Manchester Metropolitan University, UK
Exploring the discursive practices of urban artificial intelligence (urban AI), this study examines how these initiatives are reshaping power dynamics in city governance. It's anchored in theories related to smart cities and urban AI, marking a shift from simply smart and automated environments to a more autonomous urban landscape. We aim to unravel the intricate connections between discourse, strategy, and power in modern, AI-enabled cities.
Methodologically, the study uses Foucauldian discourse analysis to dissect power relations and the socio-political conditions of urban AI narratives. This method helps examine how discourse shapes and is shaped by various stakeholder roles in the creation and application of urban AI across different policy contexts. We apply this analysis to cases from Shenzhen, Boston (MA), and Barcelona, each presenting distinct societal and policy environments.
The findings from these cases reveal divergent power structures. In China, Shenzhen underscores the complex interplay between Huawei-represented tech corporate ambitions and governmental policies, with AI technologies being framed as universalist and solutionist, and citizen roles have been predetermined in the discourse shaped by these dominant stakeholders. Boston exemplifies small-scale experimentation and a community-centric approach, emphasizing transparency, skepticism towards and resistance against the agendas of tech companies, and a 'return-to-analogue' ethos. Barcelona, through its AI strategy, aligns with European objectives, advocating for a citizen-centric, cross-sectoral vision for AI, and addressing past smart city challenges with an emphasis on ethical considerations and technological sovereignty.
The analysis and comparison of these cases characterise each with its distinctive strategic logic of urban AI practices that are shaped by and shaping various stakeholder perspectives. The findings deep our insight into how state and corporate players mould the urban AI landscape.
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Yuhua Wang
y.wang@mmu.ac.uk
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