Confidence-Building Measures for Artificial Intelligence: Workshop proceedings
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Working together to create open-source and private datasets for AI training. Post Views: 50
Someone’s prior beliefs about an artificial intelligence agent, like a chatbot, have a significant effect on their interactions with that agent and their perception of its trustworthiness, empathy, and effectiveness, according to a new study. Researchers from MIT and Arizona State University found that priming users — by telling them that a conversational AI agent…
To support the safety of highly-capable AI systems, we are developing our approach to catastrophic risk preparedness, including building a Preparedness team and launching a challenge. Post Views: 48
We’re launching the GPT Store to help you find useful and popular custom versions of ChatGPT. Post Views: 47
As first-year students in the Social and Engineering Systems (SES) doctoral program within the MIT Institute for Data, Systems, and Society (IDSS), Eric Liu and Ashely Peake share an interest in investigating housing inequality issues. They also share a desire to dive head-first into their research. “In the first year of your PhD, you’re taking…
The ability of large language models (LLMs) to generate coherent, contextually relevant, and semantically meaningful text has become increasingly complex. Despite these advancements, LLMs frequently provide inaccurate, doubtful, and nonsensical results. Thus, techniques that continually assess and improve generations would be helpful toward more trustworthy language models. Language model outputs have been enhanced with the…