Human Geography Landscapes Of Human Activities Pdf To Excel' title='Human Geography Landscapes Of Human Activities Pdf To Excel' />Artificial Intelligence and Its Implications for Future Suffering Foundational Research Institute. First written 1. May 2. Oct. 2. 01. 7Summary. Artificial intelligence AI will transform the world later this century. I expect this transition will be a soft takeoff in which many sectors of society update together in response to incremental AI developments, though the possibility of a harder takeoff in which a single AI project goes foom shouldnt be ruled out. If a rogue AI gained control of Earth, it would proceed to accomplish its goals by colonizing the galaxy and undertaking some very interesting achievements in science and engineering. Human Geography Landscapes Of Human Activities Pdf To Excel' title='Human Geography Landscapes Of Human Activities Pdf To Excel' />Christmas will be celebrated at Coe Colleges annual Christmas Convocation and Christmas Vespers on Tuesday, Dec. Both events will feature the Coe College Chorale. The Expanding Field of Sensory Studies version 1. Roster Updates For Madden 12 Ps3 Download on this page. August 2013 David Howes, Centre for Sensory Studies, Concordia University, Montreal The sensorium is a. NEMA Jobs. NEMA Jobs is your goto source for uptodate museum employment opportunities in our region. Browse job openings by clicking on your category of interest. Humanities and Social Sciences Postdocs Wiki Pages from Previous Years 20102017 Edit. For more information and answers to some questions about timing, materials. On the other hand, it would not necessarily respect human values, including the value of preventing the suffering of less powerful creatures. Whether a rogue AI scenario would entail more expected suffering than other scenarios is a question to explore further. Regardless, the field of AI ethics and policy seems to be a very important space where altruists can make a positive sum impact along many dimensions. Expanding dialogue and challenging us vs. Other versions of this pieceSeveral of the new written sections of this piece are absent from the podcast because I recorded it a while back. Introduction. This piece contains some observations on what looks to be potentially a coming machine revolution in Earths history. Liberal Education is an approach to learning that empowers individuals and prepares them to deal with complexity, diversity, and change. Bangalore b l r, officially known as Bengaluru beuu listen, is the capital of the Indian state of Karnataka. The database recognizes 1,746,000 software titles and delivers updates for your software including minor upgrades. BibMe Free Bibliography Citation Maker MLA, APA, Chicago, Harvard. For general background reading, a good place to start is Wikipedias article on the technological singularity. I am not an expert on all the arguments in this field, and my views remain very open to change with new information. In the face of epistemic disagreements with other very smart observers, it makes sense to grant some credence to a variety of viewpoints. Each person brings unique contributions to the discussion by virtue of his or her particular background, experience, and intuitions. To date, I have not found a detailed analysis of how those who are moved more by preventing suffering than by other values should approach singularity issues. This seems to me a serious gap, and research on this topic deserves high priority. In general, its important to expand discussion of singularity issues to encompass a broader range of participants than the engineers, technophiles, and science fiction nerds who have historically pioneered the field. I. J. Good observed in 1. The urgent drives out the important, so there is not very much written about ethical machines. Fortunately, this may be changing. Is the singularity crazy In fall 2. Ray Kurzweils The Age of Spiritual Machines. This was my first introduction to singularity ideas, and I found the book pretty astonishing. At the same time, much of it seemed rather implausible to me. In line with the attitudes of my peers, I assumed that Kurzweil was crazy and that while his ideas deserved further inspection, they should not be taken at face value. In 2. 00. 6 I discovered Nick Bostrom and Eliezer Yudkowsky, and I began to follow the organization then called the Singularity Institute for Artificial Intelligence SIAI, which is now MIRI. I took SIAIs ideas more seriously than Kurzweils, but I remained embarrassed to mention the organization because the first word in SIAIs name sets off insanity alarms in listeners. I began to study machine learning in order to get a better grasp of the AI field, and in fall 2. I switched my college major to computer science. As I read textbooks and papers about machine learning, I felt as though narrow AI was very different from the strong AI fantasies that people painted. AI programs are just a bunch of hacks, I thought. This isnt intelligence its just people using computers to manipulate data and perform optimization, and they dress it up as AI to make it sound sexy. Machine learning in particular seemed to be just a computer scientists version of statistics. Neural networks were just an elaborated form of logistic regression. There were stylistic differences, such as computer sciences focus on cross validation and bootstrapping instead of testing parametric models made possible because computers can run data intensive operations that were inaccessible to statisticians in the 1. But overall, this work didnt seem like the kind of real intelligence that people talked about for general AI. This attitude began to change as I learned more cognitive science. Before 2. 00. 8, my ideas about human cognition were vague. Like most science literate people, I believed the brain was a product of physical processes, including firing patterns of neurons. But I lacked further insight into what the black box of brains might contain. This led me to be confused about what free will meant until mid 2. Cognitive science showed me that the brain was in fact very much like a computer, at least in the sense of being a deterministic information processing device with distinct algorithms and modules. When viewed up close, these algorithms could look as dumb as the kinds of algorithms in narrow AI that I had previously dismissed as not really intelligence. Of course, animal brains combine these seemingly dumb subcomponents in dazzlingly complex and robust ways, but I could now see that the difference between narrow AI and brains was a matter of degree rather than kind. It now seemed plausible that broad AI could emerge from lots of work on narrow AI combined with stitching the parts together in the right ways. So the singularity idea of artificial general intelligence seemed less crazy than it had initially. This was one of the rare cases where a bold claim turned out to look more probable on further examination usually extraordinary claims lack much evidence and crumble on closer inspection. I now think its quite likely maybe 7. AI within the next 3. The singularity is more than AIThe singularity concept is broader than the prediction of strong AI and can refer to several distinct sub meanings. Like with most ideas, theres a lot of fantasy and exaggeration associated with the singularity, but at least the core idea that technology will progress at an accelerating rate for some time to come, absent major setbacks, is not particularly controversial. Exponential growth is the standard model in economics, and while this cant continue forever, it has been a robust pattern throughout human and even pre human history. MIRI emphasizes AI for a good reason At the end of the day, the long term future of our galaxy will be dictated by AI, not by biotech, nanotech, or other lower level systems. AI is the brains of the operation. Of course, this doesnt automatically imply that AI should be the primary focus of our attention. Maybe other revolutionary technologies or social forces will come first and deserve higher priority. In practice, I think focusing on AI specifically seems quite important even relative to competing scenarios, but its good to explore many areas in parallel to at least a shallow depth. In addition, I dont see a sharp distinction between AI and other fields. Progress in AI software relies heavily on computer hardware, and it depends at least a little bit on other fundamentals of computer science, like programming languages, operating systems, distributed systems, and networks. AI also shares significant overlap with neuroscience this is especially true if whole brain emulation arrives before bottom up AI.