A new toolkit with cards and maps enables AI designers to juxtapose values and harms in early concept stages, shown valuable in designer surveys and interviews.
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Standard LLM chats produce high perceived understanding but low objective learning in students, while future-self explanations best align confidence with actual gains and guided hints maximize learning with moderate workload.
Data Product MCP integrates AI agents with enterprise data marketplaces to enable autonomous access under real-time governance enforcement via AI-driven checks.
citing papers explorer
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Developing an AI Concept Envisioning Toolkit to Support Reflective Juxtaposition of Values and Harms
A new toolkit with cards and maps enables AI designers to juxtapose values and harms in early concept stages, shown valuable in designer surveys and interviews.
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Confidence Without Competence in AI-Assisted Knowledge Work
Standard LLM chats produce high perceived understanding but low objective learning in students, while future-self explanations best align confidence with actual gains and guided hints maximize learning with moderate workload.
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Data Product MCP: Chat with your Enterprise Data
Data Product MCP integrates AI agents with enterprise data marketplaces to enable autonomous access under real-time governance enforcement via AI-driven checks.