Building machines that learn and think with people
What do we want from machine intelligence? We envision machines that are not just tools
for thought but partners in thought: reasonable, insightful, knowledgeable, reliable and …
for thought but partners in thought: reasonable, insightful, knowledgeable, reliable and …
Nobel Turing Challenge: creating the engine for scientific discovery
H Kitano - NPJ systems biology and applications, 2021 - nature.com
Scientific discovery has long been one of the central driving forces in our civilization. It
uncovered the principles of the world we live in, and enabled us to invent new technologies …
uncovered the principles of the world we live in, and enabled us to invent new technologies …
Self-critiquing models for assisting human evaluators
We fine-tune large language models to write natural language critiques (natural language
critical comments) using behavioral cloning. On a topic-based summarization task, critiques …
critical comments) using behavioral cloning. On a topic-based summarization task, critiques …
AI can help humans find common ground in democratic deliberation
Finding agreement through a free exchange of views is often difficult. Collective deliberation
can be slow, difficult to scale, and unequally attentive to different voices. In this study, we …
can be slow, difficult to scale, and unequally attentive to different voices. In this study, we …
Neural entity linking: A survey of models based on deep learning
This survey presents a comprehensive description of recent neural entity linking (EL)
systems developed since 2015 as a result of the “deep learning revolution” in natural …
systems developed since 2015 as a result of the “deep learning revolution” in natural …
On the conversational persuasiveness of large language models: A randomized controlled trial
The development and popularization of large language models (LLMs) have raised
concerns that they will be used to create tailor-made, convincing arguments to push false or …
concerns that they will be used to create tailor-made, convincing arguments to push false or …
Exploring the potential of large language models in computational argumentation
Computational argumentation has become an essential tool in various fields, including
artificial intelligence, law, and public policy. It is an emerging research field in natural …
artificial intelligence, law, and public policy. It is an emerging research field in natural …
Debate helps supervise unreliable experts
As AI systems are used to answer more difficult questions and potentially help create new
knowledge, judging the truthfulness of their outputs becomes more difficult and more …
knowledge, judging the truthfulness of their outputs becomes more difficult and more …
SBERT studies meaning representations: Decomposing sentence embeddings into explainable semantic features
Models based on large-pretrained language models, such as S (entence) BERT, provide
effective and efficient sentence embeddings that show high correlation to human similarity …
effective and efficient sentence embeddings that show high correlation to human similarity …
Why a virtual assistant for moral enhancement when we could have a socrates?
F Lara - Science and engineering ethics, 2021 - Springer
Abstract Can Artificial Intelligence (AI) be more effective than human instruction for the moral
enhancement of people? The author argues that it only would be if the use of this technology …
enhancement of people? The author argues that it only would be if the use of this technology …