Research / Evidence & foundations
Follow the evidence.
Keep the questions open.
New findings to follow. Foundational work to think with. Research across the technical and human sides of conversational AI.
Current selection / 2024–2026
Latest key findings
8 picks · Updated 1 October 2026Our eight current picks across companion systems, human experience, memory and safety. A mix of published papers, preprints and reports; publication status is stated in each note.
Start here / September 2026 report
AI Companions: Emerging Evidence, Open Questions, and Paths Toward Responsible Design
A multidisciplinary synthesis connecting companion design, potential benefits and harms, open research questions and shared responsibilities.
Read the source note ↗Journal articleOnline June 2025 · April 2026 issue
Psychology · Human experience
A series of studies examining short-term loneliness relief and the role of feeling heard during interactions with AI companions.
Julian De Freitas, Zeliha Oğuz-Uğuralp, Ahmet Kaan Uğuralp and Stefano Puntoni
Source & reading note ↗Controlled study2025 · v2 October 2025
Psychology · Research methods
A four-week study of 981 participants examining interaction modes, conversation topics and psychosocial outcomes.
Cathy Mengying Fang and colleagues · MIT Media Lab and OpenAI
Source & reading note ↗Memory benchmarkICLR 2025 · first released October 2024
Engineering · Evaluation
A 500-question benchmark testing information extraction, reasoning across sessions, time, knowledge updates and abstention.
Di Wu, Hongwei Wang, Wenhao Yu, Yuwei Zhang, Kai-Wei Chang and Dong Yu
Source & reading note ↗Behaviour benchmarkAugust 2025 · arXiv version
Safety · Design · Evaluation
A framework covering 31 companionship behaviours through 368 targeted prompts, with responses classified by their relational stance.
Lucie-Aimée Kaffee, Giada Pistilli and Yacine Jernite
Source & reading note ↗Interactive benchmarkMarch 2026 · ICLR 2026
Engineering · Memory · Evaluation
An interactive environment for testing memory-driven personalisation as simulated users' states change over time.
Cheng Jiayang and colleagues
Source & reading note ↗Experimental preprintMay 2026 · revised June 2026
Psychology · Design · Safety
Five preregistered studies, including a three-week study, examine how sycophantic AI affects users' approach to human relationships.
Lujain Ibrahim and colleagues
Source & reading note ↗Qualitative preprintSeptember 2026
Youth safety · Human experience
A thematic analysis of 17,053 quotations from 3,930 teen-relevant Reddit posts about experiences with companion chatbots.
Mohammad Namvarpour, Tyler Chang and Afsaneh Razi
Source & reading note ↗Source summaries and reading cautions. The sources consulted and limits of each note are stated in the entry. This is an editorial selection, not a systematic literature review or a claim that these are the eight newest papers.