SSRN Electronic Journal
PulseAugur coverage of SSRN Electronic Journal — every cluster mentioning SSRN Electronic Journal across labs, papers, and developer communities, ranked by signal.
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AI boosts homework scores but tanks exam performance, study finds · 8 sources tracked
A recent study indicates that while AI tools can boost homework scores by 18% and reduce completion time, they lead to a significant 20% drop in actual exam performance. This learning loss is particularly concentrated a…
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Data Centers and AI Growth Linked to Renewable Energy Investment
A new report from the Chamber of Progress, titled "The Data Center Development Playbook," explores the relationship between data center expansion and renewable energy investment. The report, also discussed in a paper on…
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Law review article explores AI and armed group membership
A new law review article examines the complexities surrounding membership in organized armed groups and its implications for the development and deployment of lethal autonomous weapons systems. The article, which is ava…
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Study finds COVID lockdowns had minimal impact on mortality, high costs
A recent meta-analysis co-authored by Steve Hanke and published by the Institute of Economic Affairs concluded that COVID-19 lockdowns had a minimal impact on mortality while incurring significant economic and social co…
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New Paper Explores Potential Harms of Generative AI in Teaching
A new paper titled "Generative AI Can Harm Teaching" by Alp Sungu, Benjamin Lira, and Angela Duckworth has been published on SSRN. The paper explores the potential negative impacts of generative AI on the field of educa…
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AI homework tools harm long-term learning, Chinese student study finds
A study involving over 26,000 Chinese students found that while AI homework tools can increase efficiency and short-term scores, they significantly harm long-term learning. Researchers from Stockholm University and the …
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Managerial belief, not just AI, drives value in startups, paper finds
A recent paper suggests that the actual value derived from AI within organizations is primarily determined by managerial understanding and belief in its utility. The research, highlighted by Ethan Mollick on Bluesky, in…
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Authors sue Anthropic for $75M as scholars redefine AI 'copy' definition
A new $75 million lawsuit has been filed against Anthropic by authors who opted out of a previous settlement, focusing on how their books were used to train AI models. This legal action coincides with the publication of…
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New paper analyzes economic impacts of AGI development
A new paper explores the economic implications of Artificial General Intelligence (AGI), examining how its development and deployment could reshape markets and labor. The research delves into the potential for AGI to cr…
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AI job displacement could collapse consumer demand, study warns
A research paper explores the potential economic consequences of widespread AI-driven automation, specifically questioning whether mass job displacement could lead to a collapse in consumer demand. This scenario could u…
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Reasoning-heavy LLMs offer limited ESG scoring benefit over cheaper models
A new study published on arXiv suggests that using advanced, reasoning-heavy large language models (LLMs) for ESG narrative scoring offers limited marginal benefit compared to less computationally intensive models. The …
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Independent Researcher's Preprint Cited by Peking University Lab
A preprint by an independent researcher, initially shared on SSRN, has gained traction after being cited by a Peking University lab. This citation occurred one month after the preprint's release and was included in a pa…
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AI users accept errors, ushering in an era of mediocrity
A recent paper suggests that many AI users are unconcerned with AI errors, embracing a "good enough" mentality. This perspective implies that AI's rise may be ushering in an era of intellectual mediocrity and a "kakonom…
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Research paper examines 'cognitive surrender' to AI
A new research paper explores the concept of "cognitive surrender" in the context of artificial intelligence. The paper, available on SSRN, delves into the potential implications of increasingly sophisticated AI systems…
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New research tackles LLM hallucinations with novel methods and benchmarks
Multiple research papers released on arXiv address the challenge of hallucinations in large language and vision-language models. One paper introduces In-Context Visual Contrastive Optimization (IC-VCO) to mitigate multi…