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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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Sheng-Hsiang Lance Peng

Making Sense of REF, Impact and Creative Outputs Through the Infosphere

In the UK higher education landscape, the Research Excellence Framework (better known as the REF) plays a major role in shaping how research quality is understood. And if it’s in a creative-industries university…say somewhere like Falmouth, REF talk can feel especially odd. Suddenly the performance, film, installation, digital game or community project has to be explained using phrases like reach, significance, pathways to impact and it’s like being asked to translate creative souls into spreadsheet cells.

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Azeez Adeoye

Paperless Society: The Prediction That Came Too Early, Yet Came True

In the early 1970s, bold predictions emerged about the coming of a “paperless society.” The concept was first formally introduced by F. W. (Frederick Wilfrid) Lancaster, an information scientist and professor at the University of Illinois, who envisioned that advances in information technology would make paper largely obsolete by the year 2000. In 2025, Lancaster’s once-ambitious vision appears closer to fulfilment. The long-envisioned dream of a paperless society is gradually becoming a tangible reality, as many sectors including education, commerce, governance and healthcare now rely significantly less on paper for their daily operations.

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Anita Coleman

AI-Powered Peer Review: How Review Reveal Can Detect Bias, Improve Fairness, and Transform Scholarly Publishing

When a harsh peer review exposed systemic bias, the author drew on established and emerging research to envision AI‑powered Review Reveal: a tool that flags exclusionary reviewer language, maps critiques to manuscript sections, audits equity‑related phrasing, and suggests inclusive rewrites — protecting intellectual freedom and making global digital knowledge culture more accessible to under‑represented and all participating scholars.

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Ponego Letswalo

When the Algorithm is Blind: AI, Data Bias, and the South African Patient

This article explores how bias in artificial intelligence (AI) systems affects healthcare outcomes for South African patients. It highlights real-world examples, including the inaccuracy of pulse oximeters on darker skin and the disproportionate targeting of Black healthcare providers by fraud detection algorithms. Drawing on case studies and policy developments, including South Africa’s National AI Policy Framework, the article examines how biased data can reinforce inequality in medical decision-making. It calls for inclusive data practices, transparent algorithm design, and ethical oversight to ensure AI technologies serve all South Africans fairly and effectively.

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Sheng-Hsiang Lance Peng

Nothing Beats a Metadata Holiday: Hashtags, Memes and the Accidental Information Science of Jet2

What began as commercial ephemera (an advert produced to shift package holidays) has mutated into cultural capital, a memetic passport to viral belonging. I want to explore that the Jet2 phenomenon is less about planes than about metadata. In fact, nothing beats a metadata holiday. I think hashtags, remixes and tags act like boarding passes: they authorise entry into specific memetic communities, classify users within folksonomies and direct cultural traffic through algorithmic hubs. If airlines build infrastructures to move bodies, platforms build infrastructures to move information. Jet2 (perhaps unintentionally?) has done both.

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