Smarter Than Their Machines: Oral Histories of the Pioneers of Interactive Computing is based on oral histories archived at the Charles Babbage Institute, University of Minnesota. Included are the oral histories of some key pioneers of the computer industry selected by John that led to interactive computing, such as Richard Bloch, Gene Amdahl, Herbert W. Robinson, Sam Wyly, J.C.R. Licklider, Ivan Sutherland, Larry Roberts, Robert Kahn, Marvin Minsky, Michael Dertouzos, and Joseph Traub, as well as his own. John has woven them together via introductions that is, in essence, a personal walk down the computer industry road. John had the unique advantage of having been part of, or witness to, much of the history contained in these oral histories beginning as a co-op student at Arthur D. Little, Inc., in the 1950’s. Eventually, he would become a pioneer in his own right by creating the computer industry's first successful software products company (Cullinane Corporation). However, an added benefit of reading these oral histories is that they contain important messages for our leaders of today, at all levels, including that government, industry, and academia can accomplish great things when working together in an effective way. This is how the computer industry was created, which then led to the Internet, both totally unanticipated just 75 years ago.

The essays are tied together by their explorations of connections (primarily among technology, society, and knowledge) and by their general focus on modern "high" technology. They also share an emphasis on the complexity of technological formation and fixation and on the role of belief (especially self-validating belief) in technological change.

This work offers a critical re-reading of fictions of humanity, history, technology and postmodern culture. Taking psychoanalysis into cyberspace, the book develops a theoretical perspective on the relationship between bodies and machines.

Machines aren't supposed to feel, but this cyborg can't help falling in love.Assigned as a specimen collector for a captured cyborg, Chloe is intrigued by the machine disguised as a man. Kidnapped during his daring escape, he shows her that despite the chip in his brain, his humanity is not completely lost.Formerly known as unit X109GI, Joe is on a quest to discover his origin. While he doesn't find the answers he's looking for, he does discover that affection and lust aren't just for humans. But when it comes to a battle between logic and love, which side will the cybernetic organism—once a man—choose?Evaluating his feelings will have to wait though because the military isn't done with Joe. But their threats against him pale in comparison before the shocking discovery of project C791, the revelation of which stuns the rebel cyborgs—and ignites a fury for vengeance.

Special edition of the Federal Register, containing a codification of documents of general applicability and future effect ... with ancillaries.

How people judge humans and machines differently, in scenarios involving natural disasters, labor displacement, policing, privacy, algorithmic bias, and more. How would you feel about losing your job to a machine? How about a tsunami alert system that fails? Would you react differently to acts of discrimination depending on whether they were carried out by a machine or by a human? What about public surveillance? How Humans Judge Machines compares people's reactions to actions performed by humans and machines. Using data collected in dozens of experiments, this book reveals the biases that permeate human-machine interactions. Are there conditions in which we judge machines unfairly? Is our judgment of machines affected by the moral dimensions of a scenario? Is our judgment of machine correlated with demographic factors such as education or gender? César Hidalgo and colleagues use hard science to take on these pressing technological questions. Using randomized experiments, they create revealing counterfactuals and build statistical models to explain how people judge artificial intelligence and whether they do it fairly. Through original research, How Humans Judge Machines bring us one step closer tounderstanding the ethical consequences of AI.

Argues for responsible action in the treatment of animals, challenging popular conceptions about animal feeling and awareness and profiling a safari convention, factory farm, and the works of top writers.