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Pathum B Rathnayake

Open Access Boom: Citations Up, Barriers Up

Open Access (OA) publishing has become a major change in how research is shared. In traditional publishing, readers pay to access articles through journal subscriptions. In OA, articles are free to read online right away. This trend has grown fast because many believe it makes science better and fairer. Supporters say OA articles get more citations because more people can read them, leading to greater impact. However, authors often pay high Article Processing Charges (APCs) to publish in OA journals. This creates a debate: Does OA truly boost research impact, or does it create new problems by charging authors large fees?

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Lynne Bowker

Unlocking access to information through plain language

Have you ever been excited to learn something new, but when you started reading about it, you felt completely lost and ended up setting it aside? A large volume of knowledge production is carried out by researchers, who typically convey it using the specialized language of their subject field. This often includes specialized terminology and expressions, acronyms or other abbreviated forms, stylistic conventions, and even particular ways of structuring or formatting a text. The end result is comprehensible to other researchers in the same subject field, but it may be far less accessible to other groups.

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Sheng-Hsiang Lance Peng

Taiwanese Disease, Formosan Flu: Central Bank as Information Gatekeeper

If an economy were a body and its policies were cells, then the rumoured “Formosan flu” afflicting Taiwan might be best diagnosed not with a stethoscope but with an information scanner. In The Economist’s recent cover story (which dubbed the situation “Taiwanese disease” or “Formosan flu”) it was the persistent undervaluation of the New Taiwan dollar that served as symptom and signal. The magazine’s use of its own Big Mac Index, an informal gauge of purchasing power parity that suggests Taiwan’s currency is around 55 % undervalued relative to the US dollar, turned what might seem like a quirky economic snack into a sprawling public health narrative of economic strain. But what if this isn’t simply about price mechanics or exchange rates? What if Taiwan’s central bank isn’t just a macroeconomic organ but an information gatekeeper, curating the very signals that shape how the domestic body hears itself, thinks about itself and behaves?

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Chang Liu

Book Review: Human–AI Interaction and Collaboration

Human–AI Interaction and Collaboration, co-edited by Professors Dan Wu and Shaobo Liang of the School of Information Management, Wuhan University, arrives as a timely and deeply thoughtful contribution. Published by Cambridge University Press, this volume brings together twelve chapters by interdisciplinary scholars from around the world, offering a richly layered exploration of how humans and AI systems interact, collaborate, and co-evolve in contemporary sociotechnical contexts.

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Brandi Porter

Libraries as AI Literacy Leaders

In this special issue we explore the role that libraries, librarians, and information professionals can play in advancing AI literacy in our workplaces and communities.  AI literacy is a broad term meant to encompass educating users about AI use, production, and evaluation; however, as we can see there is no commonly agreed upon definition as of yet.  The included literature reflects common similarities in the need to incorporate AI literacy into our ongoing work as librarians and educators, while also recognizing that libraries serving such a wide base of communities will need to lead literacy efforts that are uniquely tailored to the populations they serve.

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Troy Davis

The Inward Turn: From AI Outputs to AI Discourse

Librarians have spent decades teaching students to evaluate sources, trace authority, and recognize how information is constructed. We’ve built sophisticated frameworks for this work. The advent of generative AI has obviously intensified these efforts. We’ve provided frameworks for evaluating AI-generated content: Is this output accurate? What biases might it contain? But as we’ve rushed to develop “AI literacy” programming, I wonder if we’ve overlooked a rich space where these same frameworks can be applied: the language we use to describe these systems in our own conversations, instructional materials, task forces, and workshops.

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Ian Y. Song

Can AI Prompting and Academic Libraries Push the Door of Open Access Wider?

The article argues that skilled AI prompting and academic libraries can work together to widen access to scholarly knowledge. As open access grows, AI can explain and synthesize openly available research for broader audiences. But paywalls still limit what AI can analyze, creating visibility gaps between open and closed scholarship. Libraries help address this by improving institutional repositories, supporting OA publishing through transformative agreements, teaching AI literacy, and developing ethical guidelines. Combined, these efforts make research more accessible, understandable, and useful worldwide.

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Ponego Letswalo

Proactive Privacy: Using AI to Automate PII Discovery and Data Subject Access Requests (DSARs)

The regulatory landscape of GDPR, CCPA, and other privacy laws has made fulfilling Data Subject Access Requests (DSARs) a critical yet operationally complex challenge. Manual processes for locating an individual’s data across fragmented systems are slow, error-prone, and struggle to meet mandated deadlines. This article explores how AI-driven privacy tools are transforming compliance from a reactive burden into a proactive strategy.

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Ponego Letswalo

The AI-Powered Third-Party Risk Manager: Continuously Monitoring Vendor Security Posture

Modern enterprises are increasingly vulnerable to cyberattacks through their third-party vendors, with over half of all data breaches now originating in the supply chain. Traditional third-party risk management (TPRM), reliant on manual, point-in-time assessments like annual questionnaires, is ill-equipped to address the dynamic nature of cyber threats. This paper proposes an AI-powered TPRM framework as a transformative solution. By enabling continuous, real-time monitoring of vendor security posture – AI streamlines risk assessments using intelligent questionnaires and provides dynamic, multi-factor risk scoring to prioritize critical vendors. The integration of AI into TPRM represents a paradigm shift from a static, reactive process to a dynamic, intelligent, and continuous safeguard, essential for security in an interconnected digital ecosystem.

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