arXiv AI By Blade Frisch, Will Wade, Dylan Gaines, Michelle Kinsella, Betts Peters, Tamara Broderick, Keith Vertanen

It's Complicated: On the Design and Evaluation of AI-Powered AAC Interfaces

Read the original on arXiv AI →

arXiv:2606. 24854v1 Announce Type: cross Abstract: Artificial intelligence (AI) can enhance what people who use augmentative and alternative communication (AAC) are able to do with their systems.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv AI.

arXiv AI
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AI Evaluation Should Work With Humans

arXiv:2608. 13577v1 Announce Type: new Abstract: This position paper argues that the dominant paradigm of AI evaluation (which focuses on superhuman autonomous performance and so implicitly targets the goal of replacing humans) is guiding AI development in the wrong direction.

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arXiv AI
6d ago

On Benchmarking Human-Like Intelligence in Machines

arXiv:2502. 20502v2 Announce Type: replace Abstract: Recent advances in Artificial Intelligence (AI) have yielded powerful computational models that, by learning from vast amounts of human-generated data, are increasingly posited as approximate models of human cognition.

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arXiv AI
Aug 11

Towards an Argumentative Foundation for Evaluative AI

arXiv:2608. 07473v1 Announce Type: new Abstract: Evaluative AI (EAI) has been recently proposed as a way to support human decision-making, not by producing a single recommendation, but by presenting competing hypotheses together with evidence for and against each.

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