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AI & Enterprise
U.S. researchers flag five misconceptions about AI-blockchain combination
Researchers from major U.S. universities said industry debate around combining artificial intelligence and blockchain includes exaggeration and set out five common misconceptions. They said blockchain cannot detect AI-generated content by content alone, decentralisation does not remove algorithmic bias, and giving AI agents wallets does not make them autonomous economic actors. They also said recording data on a blockchain does not guarantee original data reliability, and decentralisation may not cut AI costs.
AI & Enterprise
AI beats law professors in blind law school test with 75 percent win rate
Artificial intelligence received higher ratings than human law professors in an experiment comparing the quality of answers to law students’ questions, a study found. In a blind review involving U.S. law school professors, AI-generated responses were judged better overall. Researchers recruited 16 professors and used 40 representative contract law questions, collecting 2,918 evaluations. In head-to-head comparisons, AI answers won about 75 percent of the time and were less often deemed educationally harmful.
AI & Enterprise
Enhance has 3 papers accepted at ICML, ACL and ICPR
Agentic AI startup Enhance said on Wednesday that it had three papers accepted at three international AI conferences. All three were led by Enhance AI researcher Won-deok Seo as first author, it said. Enhance plans to use the results to advance its core AgentOS service technology. The accepted papers cover a framework to address cultural bias in large language models, a multi-agent framework for automated data science, and a framework for visualization code synthesis.