This paper systematically reviews 1,291 studies to understand the impacts of AI on environmental sustainability and human well-being. It highlights a research imbalance, noting that environmental studies often focus narrowly on energy and CO2, while well-being research is largely conceptual and overlooks crucial subjective aspects.

The Auton Agentic AI Framework introduces a principled architecture to bridge the gap between stochastic Large Language Model outputs and the deterministic requirements of backend systems, standardizing the creation, execution, and governance of autonomous agent systems. It achieves this through a declarative agent specification, hierarchical memory, built-in safety mechanisms, and runtime optimizations for improved reliability and performance.

This paper introduces an omni-directional dual-arm mobile robot named "GriffinX" designed for retail store operations, featuring heterogeneous grippers. It proposes a teleoperation method with shared control, allowing human operators to intervene in dynamic retail environments and improve task success rates where fully autonomous systems might struggle.

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 introduces a theoretical framework for accelerating the evaluation of Conditional Value-at-Risk (CVaR) value functions in Partially Observable Markov Decision Processes (POMDPs) with formal performance guarantees. It derives novel CVaR bounds for random variables, enabling faster policy evaluation through action elimination using simplified models.