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Artificial Intelligence

Education
Dan Wu

Exploring the Future of Human–AI Collaboration: Insights from “Human–AI Interaction and Collaboration”

How should people and AI work together in ways that are useful, ethical, and trustworthy? Edited by Dan Wu and Shaobo Liang (Wuhan University), “Human–AI Interaction and Collaboration” maps the fast-moving terrain where users, systems, and information meet—treating human strengths and machine strengths as complements, not substitutes. The introduction frames collaboration as a user-centered endeavor that must balance capability with ethics, transparency, and trust.

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Evelyn Cox

AI in a Tribal Context: Diverse Perspectives Matter in a Changing Landscape

With Artificial Intelligence’s (AI) seemingly increasing integration into various aspects of society, nations worldwide—including Tribal Nations—are assessing its impact on the changing landscape. AI is a revolutionary technology that poses potential opportunities and risks for federally recognized Indian Tribes (Tribal Nations or Tribes) and their citizens. This article provides an overview of the literature related to AI in a tribal context.

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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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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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Ponego Letswalo

Can AI Have a Conscience? A Look at Ethics in Machine Learning

Can AI have a conscience? Of course, today’s AI isn’t a sentient being with feelings or guilt. It won’t lose sleep over a tough decision. But as artificial intelligence plays a bigger role in our lives, we do expect it to act responsibly. In essence, we want AI to follow ethical principles,  a sort of programmed “conscience” so that it helps society without harming it. This is the crux of AI ethics, an increasingly important topic now that machine learning systems are making decisions that matter.

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Ece Gumusel

Are Chatbots Safe? A Look at User Privacy Concerns

Since the launch of advanced Artificial Intelligence (AI) chatbots like OpenAI’s ChatGPT-3 in late 2022, these conversational tools have quickly become integral to our daily lives. They can answer questions, assist with tasks, and engage in friendly conversations—all in natural language, similar to chatting with a real person. However, this growing use of chatbots raises a significant concern: user privacy. This article explores the importance of user privacy when interacting with AI chatbots, what current research reveals about these concerns, and how future regulations might create a more secure digital environment.

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