The paper argues that high‑stakes AI systems threaten human agency and proposes a Causal‑Agency Framework that embeds causal modeling, uncertainty quantification, and actionable interfaces to restore user control.

This paper argues that the widespread adoption of frictionless Generative AI risks "cognitive agency surrender" by exploiting human cognitive miserliness and inducing automation bias. It proposes "Scaffolded Cognitive Friction," using Multi-Agent Systems as computational Devil's Advocates to introduce beneficial epistemic tension, alongside multimodal computational phenotyping to measure its effect.

This paper introduces the Memory Printer, a tangible device combining slow design and generative AI for reconstructing unrecorded personal memories. It explores how embodied, layered interactions can enhance user agency and emotional engagement in reminiscing, while also highlighting critical concerns regarding false memories, algorithmic bias, and data privacy in emotionally sensitive AI applications.

The paper explores human-AI collaboration in mathematical research through a case study on Hermite quadrature error estimation, demonstrating AI's capabilities in algebraic manipulation and proof exploration while emphasizing the critical need for human verification and strategic direction to mitigate errors and ensure novel discovery.

This paper surveys the evolution of interactive surface sensing technologies, from early optical and capacitive methods to modern vision, acoustic, mmWave, and vibration-based techniques. It examines their operating principles, trade-offs, applications, and challenges, outlining pathways for future ubiquitous and intelligent interactive environments.