Featured Collection on Artificial Intelligence (AI)

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Rethinking Reuse in Data Lifecycle in the Age of Large Language Models

In the world we are living in, a digital world, some data slips past our awareness, but very little data ever truly disappears. As we, information scientists, are concerned with reproducibility and responsibility of research, data lifecycle models have been developed to manage the complexity. To foster open, transparent, and collaborative science, data is often…
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LLMs, AI, and the Future of Research Evaluation: A Conversation with Mike Thelwall on Informetrics and Research Impact

In this episode of InfoFire, I sit down with Professor Mike Thelwall, a well accomplished scholar of Informetrics, to explore the intersections of Large Language Models (LLMs) and research evaluation. We delve into how LLMs are reshaping the landscape of research assessment, examining the promises they hold and the challenges they present in ensuring fair,…
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Here Come Agents

An agent is an autonomous entity or program that takes preferences, instructions, or other forms of inputs from a user to accomplish specific tasks on their behalf. And there is a huge hype around agents these days, thanks to advancements in various GenAI technologies. As big and small companies and individual developers continue investing heavily…
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Bringing AI and Blockchain Synergy into Cyber Threat Intelligence Cycle 

Cyber Threat Intelligence (CTI) plays a pivotal role in governance, risk and compliance (GRC) as it enables risk assessment through the identification of threats, vulnerabilities, compliance requirements, and their consequent impacts. Efficient and secure information sharing matters in effective cyber threat intelligence.  

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Can We Really Control AI?

AI is playing an increasingly larger part in our lives and the world around us. By some projections, we will have AGI, or Artificial General Intelligence, in less than a decade. Some are even arguing we are already there. Regardless of this timeline, it is clear that AI unchecked has potentials to cause great harms….
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Exploring Women’s Health Information Literacy with AI: A South Asian Study

The relationship between AI and people’s health information is increasingly significant, and AI chatbot provides significantly more accurate answers to patients. However, while technology can help, it is up to people to decide how they want to use it. Even an AI tool like ChatGPT says “ChatGPT can make mistakes. Consider checking important information.” Using…
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Looking Backwards to See Ahead: The Case of Expert Systems Development in Libraries

During the current moment, as generative AI dominates our thinking, both for its extraordinary performance and serious flaws, a new direction is needed. The way forward may involve looking backward. The addressing the deficiencies of generative AI would benefit from reviewing, and incorporating, some of the lessons from expert system development during the late 20th…
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What Is AI?

There are several ways to define Artificial Intelligence (AI), but the question is — does it matter? This editorial argues that instead of getting lost in the definitional issues, we should focus on designing systems and experiences that allow us to solve problems and accomplish tasks.

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Integrating Artificial Intelligence with Information Technology to Enhance Lecture Delivery in Tertiary Institutions

The adoption of advanced technologies has become a crucial factor in the pedagogical transformation of today’s educational environment. As tertiary institutions strive to enhance lecture delivery mechanisms, artificial intelligence (AI) presents a revolutionary paradigm that extends beyond traditional instructional methods. The increasing reliance on digital tools necessitates a fresh examination of how AI can optimise…
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