Documents tagged "Artificial Intelligence"

Found 4 documents with this tag

HOUSE_OVERSIGHT_027004.txt

This document discusses the importance of studying the computational structure of mental representation in order to understand cognition and perception. The author suggests that while other initiatives, like Barack Obama's proposal to map human brain activity or Henry Markram's Blue Brain project, focus on understanding biological aspects of the mind, a new initiative should focus more narrowly on the building blocks and fundamental operations of thinking and perception. The study of mental representations is seen as essential for advancing theoretical, practical, and cultural insights about cognition.

HOUSE_OVERSIGHT_026383.txt

The document is a draft letter from Jeffrey E. to Raafat Alsabbagh, discussing changes and additions to the content of the letter. It mentions that they should take Mohammed to see the Laboratory at MIT to see the future after seeing the past in Washington with Obama. The document emphasizes the confidentiality and privileged nature of its contents, and it is marked as property of JEE. Unauthorized use or disclosure may be illegal, and recipients should return the communication if received in error.

Raafat Alsabbagh If Mohammed Artificial Intelligence Sent Attachments Raafat Alsabbagh Mohammed Washington Obama Laboratory Artificial Intelligence Unauthorized Jeffrey

HOUSE_OVERSIGHT_014697.txt

The document describes a scientific workshop focused on the challenges of artificial intelligence and adverse outcomes. It discusses issues such as financial markets, democracy and information, war and peace, cybersecurity, AI goals with inadvertent side effects, and deep long-term societal influences. The workshop involves teams consisting of experts in various fields related to AI and its potential consequences. Each team focuses on a specific topic and presents their findings during the workshop.

An Origins Project Scientific Workshop Challenges Artificial Intelligence Addressing Adverse Outcomes Trading Systems Market Manipulation Chair Michael Wellman Red Team Miles Brundage Randy Bryant Gary Marchant Jaan Tallinn Blue Team Michael Littman Frank Wilczek Greg Cooper Yan Shoshitaishvili Democracy Chair Shahar Avin Red Team Andrew Maynard Eric Horvitz Blue Team Gireeja Ranade Subbarao Kambhampati Military Systems Stability Chair Bart Selman Red Team Richard Mallah Eric Horvitz Michael Wellman Frank Wilczek Blue Team Vinh Nguyen Kathleen Fisher Lawrence Krauss John Launchbury Rachel Bronson Computing Systems Infrastructure Manipulation Systems Chair Kathleen Fisher Red Team Jeffrey Coleman Mauno Pihelgas Blue Team Ashish Kapoor Ben Zorn Runaway Resource Monopoly Self Objectives Chair Red Team Jaan Tallinn Nate Soares Jeff Coleman Bart Selman Blue Team Dario Amodei Shahar Avin

HOUSE_OVERSIGHT_011284.txt

This document describes a scientific workshop that took place from February 24-26, 2017, focusing on challenges of artificial intelligence and envisioning and addressing adverse outcomes. The workshop was organized by the Origins Project and had multiple sessions with teams discussing topics such as AI in financial markets, democracy, information, and identity, war & peace, cybersecurity, unintended consequences of AI systems, deep long-term societal influences, and agency and disempowerment. The workshop aimed to identify key challenges ahead, including very costly outcomes, and to come up with potential solutions such as best practices, mechanism design, monitoring and regulatory activity. For instance, in the session on financial markets, the discussion revolved around the potential for AI-powered market manipulation and its consequences on market efficiency. The participants explored scenarios that might lead to costly outcomes and considered what could be done to counter this direction and maintain efficient functioning of financial markets. In summary, the document presents a scientific exploration of the challenges posed by artificial intelligence, with a focus on understanding potential adverse outcomes and identifying solutions to mitigate these risks.