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A European AI founder advocates for taking AI risks seriously and calls for international coordination to ensure safe AI development, while emphasizing investment in research and infrastructure to democratize AI benefits.
A survey argues that human-centric AI needs to connect isolated tasks into foundation models with shared human representations and better data for physical grounding.
Introduces a new paradigm called Combodied Agents that unify digital and embodied AI agents to model, predict, and support individual human-state trajectories over time, focusing on sustained human benefit rather than task completion.
Thinking Machines outlines its mission to build AI that extends human will and judgment by training strong models, building customizable tools, and developing interfaces that enable continuous human influence. The company argues for decentralized, human-shaped AI over frozen, centrally trained models.
This paper investigates how human-centric AI (HCAI) adoption influences firm idiosyncratic risks, finding that HCAI is associated with lower risk, with digitalisation and executive shareholding strengthening this effect.