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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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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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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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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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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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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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Artist Residencies and Libraries: The Perceived Perils of Productive Frictions and Co-Creation

Critical to this investigation is to examine how the current scholarship defines and characterizes artist residencies. A surface level description of artist residencies is a program wherein a practicing artist is selected to collaborate with a host institution to address an issue and is afforded resources such as time, space, or financial backing at varying scales and scope. Other core principles of artist residencies and expectations that fall upon the selected artists include being enablers of the creative process, mutual experimentation, and striving toward capacity building.

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End of an Era? How Libraries Are Thriving in a Screen-Obsessed World

In today’s fast-paced world, many teenagers and young adults in their 20s and 30s seem glued to their screens. They stream videos, scroll social media, and read e-books on devices. This raises a big question: Are physical libraries dying out because young people aren’t visiting them to read books? This review looks at the past, present, and future of libraries to argue that no, this isn’t the end. Instead, libraries are changing to stay relevant, blending old-school charm with modern tech.

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