In traditional information systems, preservation is paramount, deletion represents data loss. MemGPT challenges this paradigm by implementing strategic forgetting through two key mechanisms: summarization and targeted deletion.
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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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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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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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Access to equitable and quality healthcare remains one of the foremost global development priorities. Despite numerous medical breakthroughs and advances in health technologies, a significant divide persists between urban and rural populations in terms of healthcare access, delivery, and outcomes.
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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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This study reveals the transformational potential of artificial intelligence (AI) in reshaping energy management. The extensive analysis explores the major trends, ethical considerations, regulatory ramifications, and predicted changes. The findings highlight AI’s critical role in enhancing efficiency, sustainability, and resilience in energy systems. Recommendations for stakeholders and policymakers emphasise research funding, ethical deployment, and international collaboration. The study provides a road map for integrating AI for a sustainable and resilient energy future.
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In this InfoFire episode, I am in conversation with eScience pioneer Tony Hey on the topic of “AI for Science.” Our fireside chat commences with the profound words of Richard Feynman, who had a significant influence on Tony Hey, and centers around the two books— Feynman Lectures on Computation: Anniversary Edition and Artificial Intelligence for Science: A Deep Learning Revolution, edited/coedited by Tony Heyand, published in 2023.
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