Documents tagged "Alison"
Found 4 documents with this tag
DOJ-OGR-00021900.jpg
The image is a low-resolution photograph of a document page with printed text. The text includes references to New York City and various legal entities such as "Judge Alison Nathan" and "Magistrate Judge Gabriel W. Gorenstein." The context suggests that this is part of an official court case, specifically mentioning the "United States District Court for the Southern District of New York." There are no visible people or locations in the image other than what is implied by the text itself.
HOUSE_OVERSIGHT_028685.jpg
The image is a photograph of an article printed on paper. The headline reads "Patrick Sevilla" and mentions the word "Kazakhstan" twice in the first sentence. Below that, there's more text with names like "Jennifer Pettit" and "Alison" as well as a mention of something being held in Washington DC. The text appears to be discussing a conference or event involving these individuals, possibly related to Kazakhstan or international affairs. There are also references to "Iran," "Iraq," and a specific location, but the full context is not visible due to the angle at which the photograph was taken.
HOUSE_OVERSIGHT_016804.txt
This document is a summary of the book "Deep Thinking" by John Brockman, which explores artificial intelligence from multiple perspectives. The author assembles 25 scientists who have spent their careers studying AI to examine topics such as mind, thinking, and intelligence. Topics discussed in the book include the potential dangers of AI, including the existential threat posed by self-improving machine learning. Some contributors to the book are deeply concerned about these dangers while others take a more optimistic view. The book is an introduction to the landscape of crucial issues related to artificial intelligence.
HOUSE_OVERSIGHT_016221.txt
The article "Deep Thinking" by John Brockman discusses the advancements in artificial intelligence and its impact on society. The author has compiled a round-table examination of AI featuring experts who have been thinking about the field for most of their careers. The discussion focuses on various aspects of AI, including unsupervised learning, self-improving machines, and the potential dangers and benefits of AI. The article examines diverse perspectives from computer scientists, physicists, philosophers, and entrepreneurs to provide a comprehensive understanding of where AI might be taking us.