What is Artificial Intelligence (AI)? There are many definitions of Artificial Intelligence (AI) but none of them effectively captures what AI is capable of. As such, I will not be defining AI, rather, I will be reporting the goal of AI as encapsulated at the 1956 Dartmouth Summer Project on Artificial Intelligence, where the science and technology of AI was properly born. 'To proceed on the basis of the conjecture that every aspect of learning or any other feature of intelligence can be so precisely described that a machine can be made to simulate it'[i] Although it has hardly been restated, this goal has the been the underlying drive behind every manifestation of AI since then. If it takes human intelligence and learning to get a thing done, then it can be replicated by a machine, once we break down the components of the particular intelligence and learning approach at play.
The Pentagon has tapped artificial intelligence ethics and research expert Diane Staheli to lead the Responsible AI (RAI) Division of its new Chief Digital and AI Office (CDAO), FedScoop confirmed on Tuesday. In this role, Staheli will help steer the Defense Department's development and application of policies, practices, standards and metrics for buying and building AI that is trustworthy and accountable. She enters the position nearly nine months after DOD's first AI ethics lead exited the Joint Artificial Intelligence Center (JAIC), and in the midst of a broad restructuring of the Pentagon's main AI-associated components under the CDAO. "[Staheli] has significant experience in military-oriented research and development environments, and is a contributing member of the Office of the Director of National Intelligence AI Assurance working group," Sarah Flaherty, CDAO's public affairs officer, told FedScoop.
The Pentagon has tapped artificial intelligence ethics and research expert Diane Staheli to lead the Responsible AI (RAI) Division of its new Chief Digital and AI Office (CDAO), FedScoop confirmed on Tuesday. In this role, Staheli will help steer the Defense Department's development and application of policies, practices, standards and metrics for buying and building AI that is trustworthy and accountable. She enters the position nearly nine months after DOD's first AI ethics lead exited the Joint Artificial Intelligence Center (JAIC), and in the midst of a broad restructuring of the Pentagon's main AI-associated components under the CDAO. "[Staheli] has significant experience in military-oriented research and development environments, and is a contributing member of the Office of the Director of National Intelligence AI Assurance working group," Sarah Flaherty, CDAO's public affairs officer, told FedScoop. Advanced computer-driven systems use AI to perform tasks that generally require some human intelligence.
There has been no better time to be in the world of artificial intelligence than now. AI has achieved an inflection point and is poised to transform every industry. Much has already been written about specific applications of AI. In this article, I take a step back to consider how artificial intelligence is poised to fundamentally restructure broader swaths of our economy and society over the next decade with five bold predictions that are informed by my expertise and immersion in the field. Important science--think large-scale clinical trials or building particle colliders--is expensive and time-consuming.
Russia's war in Ukraine is becoming a testing ground for loitering ammunition. How is artificial intelligence changing the future of military deterrence? The Russian attack on Ukraine shows that wars of conquest are not an artifact of the past. This reversion to an outdated notion of territorial integrity of states, visible since 2014 at the latest, puts the concept of deterrence back on the political agenda of many democracies. The new German government now wants to make the contribution to NATO that the then U.S. President Donald Trump, for example, demanded with media attention a few years ago.
Inspired by A New History of Modern Computing by Thomas Haigh and Paul E. Ceruzzi. But the selection of key events in the journey from ENIAC to Tesla, from Data Processing to Big Data, is mine. This was the first computer made by Apple Computers Inc, which became one of the fastest growing ... [ ] companies in history, launching a number of innovative and influential computer hardware and software products. Most home computer users in the 1970s were hobbyists who designed and assembled their own machines. The Apple I, devised in a bedroom by Steve Wozniak, Steven Jobs and Ron Wayne, was a basic circuit board to which enthusiasts would add display units and keyboards. April 1945 John von Neumann's "First Draft of a Report on the EDVAC," often called the founding document of modern computing, defines "the stored program concept." July 1945 Vannevar Bush publishes "As We May Think," in which he envisions the "Memex," a memory extension device serving as a large personal repository of information that could be instantly retrieved through associative links.
The Reviewer -- James Voorhees is a cyber analyst with General Dynamics Information Technology. He has extensive experience as an analyst and engineer working on cybersecurity, mostly for federal agencies. He holds a PhD from the Johns Hopkins School of Advanced International Studies and is the author of Dialogue Sustained: The Multilevel Peace Process and the Dartmouth Conference. BOOK REVIEW -- Artificial intelligence (AI) is all the rage these days. For some, it is a technology that promises transformative progress.
AI startups are increasingly embracing AI ethics, though this is trickier than it might seem at ... [ ] first glance. Whatever you are thinking, think bigger. Fake it until you make it. These are the typical startup lines that you hear or see all the time. They have become a kind of advisory lore amongst budding entrepreneurs. If you wander around Silicon Valley, you'll probably see bumper stickers with those slogans and likely witness high-tech founders wearing hoodies emblazoned with such tropes. AI-related startups are assuredly included in the bunch. Perhaps we might though add an additional piece of startup success advice for the AI aiming nascent firms, namely that they should energetically embrace AI ethics. That is a bumper sticker-worthy notion and assuredly a useful piece of sage wisdom for any AI founder that is trying to figure out how they can be a proper leader and a winning entrepreneur. For my ongoing and extensive coverage of AI Ethics and Ethical AI, see the link here and the link here, just to name a few. The first impulse of many AI startups is likely the exact opposite of wanting to embrace AI ethics. Often, the focus of an AI startup is primarily about getting some tangible AI system out the door as quickly as possible. There is usually tremendous pressure to produce an MVP (minimally viable product). Investors are skittish about putting money into some newfangled AI contrivance that might not be buildable, and therefore the urgency to craft an AI pilot or prototype is paramount.
Stone once described arms races as the inevitable product of there being "no limit to the ingenuity of science and no limit to the deviltry of human beings." This dark truth about the era of human-controlled "kinetic" weapons of mass destruction that so concerned Stone remains true today of the emerging range of increasingly automated systems that may now be fusing scientific ingenuity with a silicon-based deviltry of all its own. For most of history, from stones to siege guns, warfare consisted of hurling some amount of mass with sufficient energy to do serious harm. The general trend has been toward increasing mass and energy, giving weapons greater range. Yet, until the first automated guidance systems came into play during World War II, the "information content" of weaponry was quite small, reducing accuracy.