Attachment theory: A new lens for understanding human-AI relationships
Peer-Reviewed Publication
This month, we’re focusing on artificial intelligence (AI), a topic that continues to capture attention everywhere. Here, you’ll find the latest research news, insights, and discoveries shaping how AI is being developed and used across the world.
Updates every hour. Last Updated: 17-Nov-2025 21:11 ET (18-Nov-2025 02:11 GMT/UTC)
Human-AI interactions are well understood in terms of trust and companionship. However, the role of attachment and experiences in such relationships is not entirely clear. In a new breakthrough, researchers from Waseda University have devised a novel self-report scale and highlighted the concepts of attachment anxiety and avoidance toward AI. Their work is expected to serve as a guideline to further explore human-AI relationships and incorporate ethical considerations in AI design.
• Tracing the origin of an ultra-hot exoplanet: The chemical composition of WASP-121b suggests that it formed in a cool zone of its natal disc, comparable to the region of gas and ice giants in our Solar System.
• Methane indicates unexpected atmospheric dynamics: Despite extreme heat, methane was detected on the nightside – a finding that can be explained by strong vertical atmospheric circulation.• First detection of silicon monoxide in a planetary atmosphere: Measurements of this refractory gas allow quantifying the rocky material the planet had accumulated.
Professor WANG Qi (王琦), Academician of the Chinese Academy of Engineering and National Traditional Chinese Medicine (TCM) Master, recently published a pivotal article titled “From digits to digitization: the past, present, and future of traditional Chinese medicine” in Digital Chinese Medicine. Centered on Xiangshu (象数, phenotype-numerology) philosophy, the article systematically explores pathways for deep integration between TCM and digital technology, validating this approach through research breakthroughs by his team and peers.
Four members of the Texas A&M University faculty will receive $1.6 million in DARPA funds to create a system for rapidly accelerating the process that determines the quality and expected lifespan of 3D-printed components used by the military. This new approach to predicting lifespan will increase the speed at which parts are made and deployed in critical applications and accelerate the adoption of additive manufacturing technologies in the form of more 3D printers at Department of Defense (DOD) bases. It will also provide millions of dollars in savings for the DOD.