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Evidence-backed problem

Cybersecurity and Artificial Intelligence in the Asia Pacific: Threats Defenses and Governance Recommendations

This study examines interactions between artificial intelligence and cybersecurity across the Asia-Pacific, with emphasis on ASEAN governance, technical attack vectors and defensive trajectories. It synthesizes classifications of offensive and adversarial AI, detailing techniques such as data poisoning, model extraction, evasion attacks, adversarial perturbations and AI-driven social engineering, and highlights how agentic AI architectures expand attack surfaces via persistent memory, tool integrations and dynam…

INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH · Labor

Cybersecurity and Artificial Intelligence in the Asia Pacific: Threats Defenses and Governance Recommendations

Evidence-backed problem

Ethical Concerns in Medical and Health-Related AI

This perspective introduces the range of ethical concerns entailed by the widespread adoption of AI, particularly as they impact human health. It begins by (1) illustrating risks associated with all large-scale AI systems, then moves to (2) corporate and governmental applications of AI that affect human health. It overviews the ways (3) that patient usage of AI has affected human health; (4) that “passive” medical AI (like recording documents) and (5) “active” medical AI (like diagnosing and prescribing) may aff…

Health

Evidence-backed problem

The role of artificial intelligence in facilitating superwood utilization among furniture craft producers for sustainable smart manufacturing

Despite the demonstrated potential of superwood materials (engineered or modified wood products, such as densified, thermally modified, or cross-laminated timber, that exhibit enhanced strength, dimensional stability, and resource efficiency relative to conventional timber) and artificial intelligence (AI) to advance sustainable manufacturing, their adoption remains negligible among artisanal furniture producers in resource-constrained developing economies. This study investigates whether and how AI can facilita…

Lifestyle

Evidence-backed gain

Leveraging social media footprints for predicting college student anxiety: a machine learning approach

Background Anxiety is one of the most prevalent mental health concerns among college students worldwide, yet traditional assessment methods relying on self-report questionnaires are time-consuming, susceptible to response bias, and difficult to scale. Social media platforms, which students use extensively, generate rich behavioral and linguistic data that may reflect underlying psychological states. This study investigates whether passively collected social media footprints are associated with anxiety scores amo…

Health

Both readings

Knowledge-Based Feature Selection Substantially Enhances Data-Driven Wastewater Treatment Modeling

Data-driven modeling in wastewater treatment is increasingly constrained by the reality of small, high-dimensional data, where the abundant monitoring parameters in small-sized data sets obscure fundamental mechanistic understandings. This study proposes a knowledge-driven feature selection framework that integrates mechanistic insights with statistical correlations to identify the most informative predictive features. Using nitrous oxide (N 2 O) emission prediction at a full-scale plant as a case study, we comp…

Climate

Evidence-backed problem

Christopher Nolan says people ‘disdain’ AI and the idea it will replace humans is ‘nonsense’

The Oscar-winning director Christopher Nolan believes the kind of movies he makes – big-budget action films shot mostly on location – would survive the spread of artificial intelligence, a technology he says many people “disdain”. The Oppenheimer and The Dark Knight director is promoting his latest blockbuster, an adaptation of the Greek epic The Odyssey, which will be released in cinemas this week. “The interesting thing with AI is I’ve never seen a technology that’s been so successfully adopted by Wall Street…

Media & Arts

Both readings

Is Richard Tice’s picture AI-manipulated? Here are five giveaways

*** After Richard Tice posted a picture of an apparent Reform campaign event on Sunday, experts and social media detectives took a closer look and concluded from a variety of telltale signs that the image had either been edited or generated by artificial intelligence. Here are some of the elements that critics called into question. *** 1. Mangled fingers One woman has six fingers on one hand and extra long ones on the other. The man in the beige jacket has three extremely long fingers which look like sausages. A…

Policy

‘There were stoats in kitchen cupboards’: AI deployed to help save Orkney’s birds

At first, the stoat looks like a faint smudge in the distance. But, as it jumps closer, its sleek body is identified by a heat-detecting camera and, with it, an alert goes out to Orkney’s stoat hunters. Aided by an artificial intelligence programme trained to detect a stoat’s sinuous shape and movement, trapping teams are dispatched with the explicit aim of finding and killing it. It is the most sophisticated technology deployed in one of the world’s largest mammal eradication projects, which has the aim of dete…

Climate

‘There were stoats in kitchen cupboards’: AI deployed to help save Orkney’s birds

Race for AI is making Hindenburg-style disaster ‘a real risk’, says leading expert

The race to get artificial intelligence to market has raised the risk of a Hindenburg-style disaster that shatters global confidence in the technology, a leading researcher has warned. Michael Wooldridge, a professor of AI at Oxford University, said the danger arose from the immense commercial pressures that technology firms were under to release new AI tools, with companies desperate to win customers before the products’ capabilities and potential flaws are fully understood. The surge in AI chatbots with guardr…

Science

Race for AI is making Hindenburg-style disaster ‘a real risk’, says leading expert

Elon Musk merges SpaceX with xAI at $1.25tn valuation

Elon Musk’s aerospace company SpaceX has acquired his artificial intelligence business xAI, in a $1.25tn (£910bn) merger that consolidates part of Musk’s empire as SpaceX prepares to go public later this year. The two companies announced the deal on Monday in a statement on SpaceX’s website, saying the merger would form “the most ambitious, vertically-integrated innovation engine on (and off) Earth, with AI, rockets, space-based internet, direct-to-mobile device communications and the world’s foremost real-time…

Business

Elon Musk merges SpaceX with xAI at $1.25tn valuation

If AI makes human labor obsolete, who decides who gets to eat?

How will we be fed? That’s the biggest question not seriously being addressed amid all this talk about whether or not artificial intelligence will end up taking over all of our jobs. Formidable though the technology appears, similar fears have popped up repeatedly since the Industrial Revolution, and most working-age adults remain employed. Still, what is sorely missing is a serious debate about what to do if this future in fact materializes. For Open AI’s Sam Altman “the future can be vastly better than the pre…

Labor

KPMG partner fined for using artificial intelligence to cheat in AI training test

A partner at the consultancy KPMG has been fined for using artificial intelligence to cheat during an internal training course on AI. The unnamed partner was fined A$10,000 (£5,200) for using the technology to cheat, one of a number of staff reportedly using the tactic. More than two dozen KPMG Australia staff have been caught using AI tools to cheat on internal exams since July, the company said, increasing concerns over AI-fuelled cheating in accountancy firms. The consultancy used its own AI detection tools t…

Business

KPMG partner fined for using artificial intelligence to cheat in AI training test

Exploring users’ innovation behavior in the era of AIGC—a grounded theory approach

The emergence of artificial intelligence-generated content (AIGC) is changing the constraints that limit user innovation. To explore the influence mechanism of AIGC on user innovation behavior, this study obtained public archival data from multiple sources (including official media reports such as technology news reports, knowledge-sharing posts, and AI-focused articles from authoritative platforms, totaling 1,502 articles) and semi-structured interview textual materials (more than 120,000 words). Using the meth…

Other

Exploring users’ innovation behavior in the era of AIGC—a grounded theory approach

Governing Enterprise AI Investments: A Decision-Centric Portfolio Framework

Despite enterprises continuing to invest heavily in AI, many initiatives fail to scale or generate sustained business value. Terming this the AI-investment paradox, we argue that it persists because firms govern AI as a broad technology program rather than as a set of discrete, investable decision opportunities embedded within workflows. We address this issue by developing a decision-centric portfolio framework for governing enterprise AI investments. Our framework introduces AI-Investable Process Nodes (AIPNs)…

Business

Governing Enterprise AI Investments: A Decision-Centric Portfolio Framework

Autonomous in-silico inorganic materials discovery via multi-agent physics-aware scientific reasoning

Conventional machine learning approaches accelerate in-silico inorganic materials design via accurate property prediction and targeted material generation, yet they operate as single-shot models limited by the latent knowledge baked into their training data. A central challenge lies in creating an intelligent system capable of autonomously executing the full in-silico inorganic materials discovery cycle, from ideation and planning to experimentation and iterative refinement. We introduce SparksMatter, a multi-ag…

Science

Autonomous in-silico inorganic materials discovery via multi-agent physics-aware scientific reasoning