Results for “The ASU Origins Project”

…and Democracy (Incorporating contributions from Shahar Avin, Sean O hEigeartaigh, David McAllester, Eric Horvitz, and others) An informed public is important to the healthy functioning of democratic societies. We can expect potential forthcoming advances around the control of i...

…ges of Artificial Intelligence: Envisioning and Addressing Adverse Outcomes ARIZONA STATE UNIVERSITY e Stretch: when the engineers realize what is going on they launch a task to shut down the RL task, but the RL scheduler doesn't assign this task to any machine. The only way t...

…ces, Infrastructure (Contributions by Kathleen Fisher, John Launchbury, Ashish Kapoor, Sean, Shahar, Jeff Coleman and others) Al will be used in new ways to enhance cyberwarfare. Targets could be either purely computational, aimed at the bringing down of computing systems, the...

…ges of Artificial Intelligence: Envisioning and Addressing Adverse Outcomes ARIZONA STATE UNIVERSITY e Stretch: when the engineers realize what is going on they launch a task to shut down the RL task, but the RL scheduler doesn't assign this task to any machine. The only way t...

…, Agency, and Disempowerment (Contributions from Gireeja Ranade, Andrew Maynard, David McAllester, Stuart Russell and others) We will be benefitting from Al system that are competent at doing important tasks. People and organizations seek Al systems that bring new abilities to...

…oy specific functionality (e.g., rewriting network routine tables, replacing plans, changing target information). Once the technology for ACWs exists for military targets, it seems likely there will be cross over into civilian use. Such technology could be deployed against law e...

… (focus) Self-improvement, Shift of Objectives (Contributions from Shahar Avin, Sean O hEigeartaigh, Greg Cooper, and others) An important result from theoretical consideration of risks from advanced autonomous systems is the combination of two theses: orthogonality, that state...

…1) FINANCIAL MARKETS Al, Trading Systems, and Market Manipulation (Incorporating contributions by Michael Wellman and others) There has been advances in the realm of trading in financial markets with the use of autonomous decision systems. Financial markets now operate almost e...

Miscellaneous facts: ° In 2008, you founded the Origins Project at Arizona State University in Tempe, a multidisciplinary effort to understand the origins of the universe, life, and social systems. You have led that effort ever since. e Thanks to best-selling books like The Phy...

…ddressing Adverse Outcomes ARIZONA STATE UNIVERSITY systems. Effective meaningful human control faces challenges with the interpretation and fusion of sensor signals and the understanding of humans of Al pattern recognition and inference. DISCUSSION What methods, internationa...

…and Democracy (Incorporating contributions from Shahar Avin, Sean O hEigeartaigh, David McAllester, Eric Horvitz, and others) An informed public is important to the healthy functioning of democratic societies. We can expect potential forthcoming advances around the control of i...

…Workshop Challenges of Artificial Intelligence: Envisioning and Addressing Adverse Outcomes ARIZONA STATE UNIVERSITY the agent must rely on the data gathered from the sensors (there is no human in the loop to decide this), there can be unexpected situations where the agent wou...

…Workshop Challenges of Artificial Intelligence: Envisioning and Addressing Adverse Outcomes ARIZONA STATE UNIVERSITY the agent must rely on the data gathered from the sensors (there is no human in the loop to decide this), there can be unexpected situations where the agent wou...

…kshop Challenges of Artificial Intelligence: Envisioning and Addressing Adverse Outcomes ARIZONA STATE UNIVERSITY in the past with Chess and Go. Computer systems are initially inferior to their human counterparts but quickly come to dominate the space. The purpose of ACWs mea...

…lities are dense” in production code, incentives for securing loT systems are low, key vulnerabilities are stockpiled rather than globally patched. Using machine learning the techniques for vulnerability detection are increasingly sophisticated but opaque. At some point adaptive...