Empire of AI
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AblationBench: Evaluating Automated Planning of Ablations in Empirical AI Research
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The Role of Instructional Guidance in Generative AI-Assisted Learning: Empirical Evidence from Construction Engineering Education
arXiv:2606.05509v1 Announce Type: new Abstract: Generative artificial intelligence (AI) is increasingly used to support self-directed learning, yet student interaction with such systems often remains unstructured, limiting engagement in deeper cognitive processes. This study examines how instructional guidance shapes student and AI interaction in construction education. A five-step prompting framework grounded in Generative Learning Theory (GLT) is introduced to guide learner interaction...
Where's the Structure? A Systematic Literature Review of Empirical Research on Human-AI Collaboration and Hybrid Intelligence for Learning
arXiv:2606.05222v1 Announce Type: new Abstract: Artificial intelligence (AI) has been applied across educational contexts to support learning. One approach to such support is "human-AI collaboration" (also termed "hybrid intelligence"), where human(s) and AI components interact to promote human learning. However, as in human-to-human computer-supported collaborative learning (CSCL), unstructured interaction does not necessarily produce an effective learning experience.
Can AI Review Improve Paper Drafting? An Empirical Study on 20 Computer Architecture Submissions
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AI Self-preferencing in Algorithmic Hiring: Empirical Evidence and Insights
arXiv:2509.00462v4 Announce Type: replace Abstract: As artificial intelligence (AI) tools become widely adopted, large language models (LLMs) are increasingly involved on both sides of decision-making processes, ranging from hiring to content moderation. This dual adoption raises a critical question: do LLMs systematically favor content that resembles their own outputs? Prior research in computer science has identified self-preference bias -- the tendency of LLMs to favor their own generated...
RiskNet: A large-scale dataset of AI risk incidents from news with alignment and multi-dimensional annotations
arXiv:2606.08376v1 Announce Type: new Abstract: As artificial intelligence (AI) systems are increasingly deployed across socially consequential domains, reports of AI-related harms and failures have grown in frequency and diversity. Although existing governance frameworks articulate high-level principles for responsible AI, large-scale empirical resources for tracking and analyzing real-world AI risk incidents remain limited. Existing incident collections are often manually curated,...
Bernie Sanders to Americans: AI companies stole your data, you should own 50% stocks
Senator Bernie Sanders has announced a new legislation aimed at taking half of the control of the artificial intelligence (AI) boom away from Silicon Valley billionaires and handing it directly to the American public. Arguing that AI companies built their empires on 'stolen' data, Sanders plans to introduce the American AI Sovereign Wealth Fund Act, a bill that would levy a one-time 50% tax on the stock of the nation's largest AI firms to establish a public fund. "The creative work of...