Business And Organizational Aspects Of Hci

One of the hottest topics that modern science has been focusing on for a long time is the field of artificial intelligence, the study of intelligence in machines or, according to Minsky, “the science of making machines do things that would require intelligence if done by men”.(qtd in Copeland 1). Artificial Intelligence has a lot of applications and is used in many areas. “We often don’t notice it but AI is all around us. It is present in computer games, in the cruise control in our cars and the servers that route our email.” (BBC 1). Different goals have been set for the science of Artificial Intelligence, but according to Whitby the most mentioned idea about the goal of AI is provided by the Turing Test. This test is also called the

This article is one of the most interesting in discussion of a practical involvement of artificial intelligence into the current healthcare system. The matter here is that this article consists predominantly with the critics of contemporary technology, underlining the importance of the further investigations of it. But at the same time, Salvado claims that artificial intelligence, as the technology of a future has a considerable number of advantages.

Work done with the thought of an artificial intelligence so advanced that is could converse and have emotions just as we do is nothing but disturbing. Sergey Brin and Larry Page, the creators of Google, are quoted in Carr’s article stating, “The ultimate search engine is something as smart as people-- or smarter.” Pages also says “For us, working on search is a way to work on artificial intelligence.” For me this thought is scary. As much as I use and appreciate the ease of the internet, it makes me scared for the future in which my children will live in and how badly things could take a turn for the worse. All we can do is hope that our predecessors are smart enough to know when enough is enough, and the young people who are growing up in its world will be able to expand it in a healthy and helpful

Dr. Brown works in the Watson Cognitive Healthcare department in IBM. He holds PhD in computer science in information retrieval concentration. A brief history of Jeopardy Project and how Watson Project started in IBM was presented. The Jeopardy Project that started ten years ago and publicly announced about six years ago on TV advertisement. The only remaining industrial lab in the United States was the Watson Project in IBM research department. The mission statement for Watson Project was “to improve save lives around the world using cognitive information.” With this project, IBM predicted 75% of the medical field will use digital health service in the future. Prior to further explanation of the Watson Project, Dr. Brown talked about the current medical reimbursement model. With the affordable care act, the reimbursement went from fee for service to value service.

The essay “Watson Doesn’t Know It Won on Jeopardy!” is a paper written by John Searle on February 23, 2011 that probes at how IBM’s computer Watson has no human understanding whatsoever. Searle begins by clearing up the common misconceptions about what a computer actually is. Searle explains that a computer is simply a machine that manipulates symbols based on a programs needs and wants, and that the computational power of a computer is not human understanding; it is in fact a measure of how fast a computer can manipulate symbols. Searle then proceeds to explain the process of how a computer works in terms of a human. He explains that a computer does not understand human language at all. A computer just has a program (in binary) that tells

Before watching this video, I did not realize how cool and interesting it was about human-like robots. Watson, in particular, was the star in the video. I also did not understand how a robot would have the similarities to a human brain.   I had previously read and written some thoughts on brain culture but I found the "How Does the Brain Work?" very interesting. While watching the video, I was surprised on how big artificial intelligence is and the importance.

Society today is greatly influenced by technology and the impact it has had within the past 20 years. One of the largest breakthroughs, though, is Artificial Intelligence (A.I.). The technology associated with A.I. has greatly developed in the past years, and is only making devices smarter. When someone mentions technology, or even the technological breakthroughs the world has gone through recently, many people go straight to smartphones and computers. A.I. is often overlooked, or put into a general category of "technology". Yet, artificial intelligence is something that should we not be so quick to dismiss, and should be something that gets people talking and even excited for what the future holds.

The main reason why I feel that Watson will be successful and beneficial to everyone, is because IBM’s motto isn’t to try to create a computer with emotions or feelings. It is a large scale to attempt to code almost every interaction that humans have with one other. Watson is there to help solve problems using data that is being collected. This is something that we are taught to do and have to utilize throughout our lives. When we learn, Watson also learn because we can transfer our data and knowledge into Watson’s

Oz X Chip is about making sense of the different aspects of progress within the field of artificial intelligence from a layman's point of view. We investigate how the science of technology is serving us – and itself. At what point does artificial intelligence become smarter than its creator? In reality we are way past that question. We moved into the subservient position decades ago. We still control the machines, but

In today’s fast paced technologically savvy society, everyone wants the most advanced technology, this thirst for the next big thing is what makes technology fields the fastest changing and growing sectors. In countless movies, television shows, and novels, there is a representation of a humanoid character that is in fact a machine functioning and learning new skills with artificial intelligence. The problem with these shows is that the representation of modern day artificial intelligence is largely skewed, these machines have personalities and emotions making them relatable to humans when they are still just a very elaborate computer program. Artificial intelligence is the cognitive ability to solve problems, recognize patterns, and have

Businesses rely heavily on knowledge about human-machine interaction (HMI) in the successful use of existing and new products. This work will examine IBM research as well as three other sites involved with Human-Computer Interaction (HCI) and the approaches utilized in comparison to IBM.

Artificial Intelligence can be traced back to ancient Egypt, the idea that an inanimate object can be infused with a human “soul” is not new; but in the murky annals of time much of the facts have been lost. Yet the concept of creating thought from material that is by definition lacking all cognizance or consciousness is admittedly not a new idea. The advent of the electronic computer in the early and mid 1940’s gave science its first good glimpse at the future of intelligent machines. The likes of Jules Verne and H.G. Wells had dreamt them up, now the torch had been passed to make them reality.

IBM’s artificially intelligent computer system Watson made international news when it was able to defeat Jeopardy champions Brad Runner and Ken Jennings in February 2011. The game show is known for its tricky questions and nuances, and this presented a unique opportunity for IBM researchers to demonstrate the state of the art in computing technology. Though a computer winning a television game show hardly seems like an event for the history books, it was a monumental achievement in the field of artificial intelligence (AI). IBM touts the main features of Watson to be its ability to understand natural language, its hypothesis generation process, and its dynamic learning capacity. It was with these capabilities that Watson was able to be

In the future, we may be able to build a computer that is comparable to the human brain, but not until we truly understand one thing. Lewis Thomas talks about this in his essay, "Computers." He says, "It is in our collective behavior that we are most mysterious. We won't be able to construct machines like ourselves until we've understood this, and we're not even close" (Thomas 473). Thomas wrote this essay in 1974, and although we have made many technological advances

So HCI takes into account both sides of the computers users. It looks at things like the computer graphics, operating system, and programming language and on the human side according to (Cairns, P. & Cox, A. 2008) “communication theory, graphic and industrial design disciplines, linguistics, social science, cognitive psychology, and human performance are relevant.”