DOCSLIB.ORG

Aaatiii, 222 Abbott, A., 585N Abbott, Larry, 170, 542N Abbott

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Aaatiii, 222 Abbott, A., 585N Abbott, Larry, 170, 542N Abbott vsnk$all.qxd 7/8/05 9:06 AM Page 603 Index Page numbers in italics refer to illustrations. aaATIII, 222 principles of, 40–43 Abbott, A., 585n revisiting of, 491–96, 504n Abbott, Larry, 170, 542n second law of thermodynamics and, Abbott Laboratories, 282 39–40 ABC News, 393 world hunger solution and, 224 Abduljalil, A. M., 540n see also exponential growth Abeln, G. C., 562n, 563n acceleration, 10, 165 Abrams tanks, 332, 335 actin, 175, 199–200, 383 abstraction, 16, 175, 198 Acura RL, 287 “Accelerating Change” conference, 504n acute myeloblastic leukemia, 215 accelerating returns, law of, 3, 7–14, 29, adenosine triphosphate (ATP), 118, 232, 35–110, 371, 373, 432, 441, 457, 234, 238, 306, 399 507n–26n adenoviruses, 216 communications and, 35, 48–50, 48–50, Adept Technologies, 285 73, 76–77, 77, 97, 102, 245–46, Adleman, Leonard, 529n–30n 511n–12n Adrian, E. D., 154, 539n computer memory and, 57–58, 57, 58, Afghanistan, 280, 332, 334 59, 75–76, 75, 76, 96, 102 Africa: conservatism of social institutions and, AIDS in, 95, 470 472–73 GMO food in, 406, 414, 415 DNA sequencing and, 73–74, 73, 74, natural nuclear reactor in, 139–40, 503n 514n Web access in, 469 economic growth and, 96–110, 433, Age of Intelligent Machines, The (Kurzweil), 524n–26n 3, 24, 94, 275, 277, 279, 393, 497n, ETI and, 344 518n, 519n exponential growth in, 3, 7–14, 35, Age of Spiritual Machines, The (ASM) 40–46, 56–84, 57–65, 67, 69–71, 73–84, (Kurzweil), 3, 24, 113, 315–16, 361 96–101, 98, 99, 101, 106–10, 108, 257, catching a fly ball examined in, 178–79 498n molecular computing in, 121 farsighted evolution and, 47–50, 48–50 only-a-human cartoon in, 290–91, 291 fractal designs and, 46–47 promise vs. perils of technology in, information, order, and evolution and, 393–94, 427 85–94, 516n–23n AGEs (advanced glycation end-products), intelligence and, 265, 344, 349–51 220 Internet and, 78–81, 78–81, 95, 97, 516n aging, 100, 233 life cycle of a paradigm and, 43–46 of cells, 209 life cycle of technology and, 51–56 slowing and reversal of, 28, 141, 206, miniaturization and, 42–43, 45, 57–61, 210–21, 253, 256–57, 259, 323, 371, 57–60, 73, 82–84, 82–84, 96, 102, 227 373, 377, 397 Moore’s Law and, see Moore’s Law agriculture, 17, 18, 20, 536n nature of order and, 36–43 GMOs and, 414–15, 471 603 vsnk$all.qxd 7/8/05 9:06 AM Page 604 604 I NDEX agriculture (cont.) amino acids, 483 reduction in farm workforce and, 302, nanotechnology and, 233, 233, 234, 340, 583n 242 AI, see artificial intelligence; narrow AI; in proteins, 27, 47, 85, 148, 208–10, 309, strong AI 517n, 550n AIDS drugs, 95, 470 amygdala, 541n Air Force, U.S., 280, 335 amyloid plaque, 220, 550n Air Force Strategic Missiles Evaluation analog, analog operations: Committee, 401 in brain, 71, 126, 147–51, 428, 442, 483 airplanes, aviation, 138, 146, 246, 266, 397, criticism from, 428, 442 409, 420 digital vs., 14, 126, 147, 149–50, 308, 428, Bernoulli’s principle and, 265 442, 461, 519n guidance for, 8, 255, 276, 413, 435–36, image sensors, 533n 456 Mead’s use of, 89, 188 air pollution, 243 transistors’ use of, 126, 149–50, 151, 188, airports, 284 189, 442, 443 air pressure, 265 ANALOGY, 569n Akers, Nick, 247–48, 595n Ananthaswamy, Anil, 553n alanine, 210 Andberg, Anders, 591n alcohol, 247–48 Anderson, Mark K., 527n algebra, 283 Anderson,M.C., 544n algorithmic information content (AIC), 37, Anderson, W. French, 196, 548n 38 anger, 193, 379, 389, 477–78 algorithms, 5, 444, 445, 461, 522n Anger, Natalie, 551n brain-modeling, 148–49 angiogenesis, blocking of, 218, 222 brain reverse engineering and, 147 animal rights, 378 Church-Turing thesis and, 454, 455 animals: data compression, 516n–17n antiaging experiments in, 220–21 decision or halting problem and, 601n blood-brain barrier in, 163 DNA computing and, 118 brain of, 4, 129, 145, 169 equivalence principle and, 136–37, 536n cloning of, 221, 222, 555n–56n learning, 156 consciousness of, 378, 466–68 minimax, 275–77 defensive technologies tested on, 416 neural net, 269, 570n–74n elimination of suffering of, 224, 379 parallelizing of, 439 gene therapy in, 215, 216 reversible computing and, 130–31, 132 medical nanobots in, 254–55 self-organizing, 146, 439–40, 481, 538n; memory in, 48 see also evolutionary (genetic) moratorium on transplantation of algorithms vascularized organs of, 418 software, 428, 438–42 motion detection in, 188 Allan, Alasdair, 281 observation by, 47, 48 Allen, Paul, 343 pattern recognition in, 16 Allen Telescope Array, 343, 343 pigmentation of, 90 Allis, G., 561n SARS virus in, 402 Allison, Graham, 596n transgenic, 215, 222 Allsop, A., 552n xenografts and, 418, 598n alpha (fine-structure constant), 140, 356, see also specific animals 503n Anissimov, Michael, 10, 299, 320, 321 ALT-711 (phenacyldimenthylthiazolium ant colonies, 151 chloride), 220 Anthes, Gary H., 570n aluminum, 245, 246 Anthropic Cosmological Principle, The Alzheimer’s disease, 549n (Barrow and Tipler), 500n biotechnology and, 209, 220, 555n anthropic principle, 15, 357, 359–64, brain reverse engineering and, 144, 188 499n–501n Ameisen, J. C., 557n antibiotics, 306, 409 vsnk$all.qxd 7/8/05 9:06 AM Page 605 I NDEX 605 antibodies, 242, 255, 425 nonbiological intelligence; robots, antigens, 218 robotics antiparticles, 363, 486–87, 503n, 521n art programs, recursive search and, 273, antiviral medications, 511n 577n–80n apes, 72, 191, 193, 387, 509n Asaad, W. F., 542n see also specific apes Ascent Technology, 284 apical dendrites, 191–92, 192 Asia, 95, 469 Apo-A-I Milano (AAIM), 217 GMOs in, 471 application-specific integrated circuits poverty in, 99, 470 (ASICs), 125, 135, 276, 445 vitamin A deficiency in, 414 Arai, K. I., 584n ASICs, see application-specific integrated Arbib, Michael A., 190, 548n circuits arginine, 210 Asilomar conference, 402, 418 Argonne National Laboratory, 283 Ask MSR (Ask MicroSoft Research), 286–87 Aristotle, 154, 337, 539n Association of American Publishers, 497n Aristov, V.V., 516n asteroids, 20, 40, 281, 398, 405–6 arm: astrocytes, 177 of kinematic constructor, 228, 229 astrophysics, singularity in, 23, 486, 487, of nanobot, 229–30, 233 503n of octopus, 181, 544n Atanassov, P., 595n Army,U.S., 280, 312, 331–32, 336 atherosclerosis, 212, 217, 257 Army Science Advisory Group (ASAG), 331 At Home in the Universe (Kauffman), 509n Arndt, Michael, 580n, 581n atomic bomb, 392–93, 404, 408, 594n Arnold, Michael S., 527n atomic-force microscope (AFM), 138, 237, ARPANET, 78 536n art, 17, 18, 20, 145, 191, 340, 498n atomic memory drive, 115 as knowledge, 372, 375 atoms, 5, 14, 85, 168, 198, 210, 383, 404, pattern and, 388 499n Artificial General Intelligence Research computational capacity and, 131, 133, Institute, 599n 138 artificial intelligence (AI), 8, 111, 144, 240, information in, 14, 15, 119, 131, 134, 438 536n Bayesian nets and, 267–68, 280 nanotechnology and, 226, 227, 228, 234, combining methods in, 278–79, 293 240, 244, 251, 253 defined, 265 ATP, see adenosine triphosphate development of, 497n atrasentan, 218 divergence of human intelligence and, Audience, Inc., 530n 146 Audio Spotlight systems, 313 education of, 202–3, 294 auditory cortex, 124 expert systems and, 266–67, 280, 282–83 auditory nerve, 195 genetic algorithms and, see evolutionary auditory system, human, 153, 165, 438, (genetic) algorithms 530n Lanier’s views on, 441 scanning of, 165 Markov models and, see Markov models Watts’s model of, 123–24, 147–48, narrow, see narrow AI 183–84, 185, 443, 452, 530n, 545n–47n neural nets and, see neural nets auditory virtual reality, 105, 310, 312–13, recursive search and, 272–73, 279, 318, 472 576n–80n Augarten, Stan, 513n from simple rules, 91–94 Augsburg, University of, 536n in software, 428 Australia, 128, 398, 433 strong, see strong AI Australopithecines, 509n toolkit of, 265–73, 278–79, 293, 435, 439, Austria, Austrians, 2, 327 456, 570n–80n autoimmune reactions: winter of, 263–66, 289, 569n biological, 223, 233, 255, 417, 426 see also computers, computation; nanobot, 417 vsnk$all.qxd 7/8/05 9:06 AM Page 606 606 I NDEX automation, 31, 65, 108, 340, 507n basis functions, 179, 544n in investing, 265, 435 batteries, 133, 246, 248 with robots, 285 Bayes, Thomas, 267, 570n autonomic computing, 284, 437 Bayesian nets (belief networks), 267–68, autonomous, semi-intelligent 280 observatories, 281 Bayles, Fred, 588n Autonomous Intelligent Network and “Be a Scientist, Save the World” (Smalley), Systems (AINS) program, 333 241 avastin, 218 beauty, 310, 389, 476 Aviram, Avi, 115, 528n Beethoven, Ludwig van, 378 Avouris, Phaedon, 527n Begley, Sharon, 542n, 543n axons, 124, 145, 150, 154–55, 176, 192, 428, behavior, 378, 380, 385 452 Bekenstein, Jacob D., 593n belief networks, see Bayesian nets Babbage, Charles, 93–94 Bell, Anthony J., 169–70, 444–46, 448–51, Babcock, Alpheus, 53 542n, 600n babies, 190 Bell, Gordon, 328 “designer,”215, 225–26, 553n Bellis, Mary, 515n baboons, HIV-type xenoviruses in, 418 Bender, Eric, 589n Bachand, George, 560n, 561n, 585n Benenson, Y., 530n backpropagation, 156 Bennett, Charles H., 130, 534n bacteria, 220, 282, 317, 367, 397 Bennett, James, 598n blood-brain barrier and, 163 Benson, E., 542n cultivation of, 594n Bentley, Jon, 438, 600n in digestive system, 386 Berg, Paul, 418 eukaryotic, 17, 18, 450, 583n Berger, Ted, 188, 195 flagellum of, 440 Bergeron, Bryan, 328–29, 588n future of, 297–98 Berndt, E. R., 512n genetic engineering and, 393 Bernoulli’s principle, 265 nanotechnology and, 226, 233, 236, 248, Bernstein, Michael, 526 254, 255 Bernstein, N., 544n protein synthesis and, 551n Berra, Yogi, 14 Baguisi, A., 556n beta-carotene, 414 Bai, Q., 584n beta-catenin, 505n Bailey, Patrick, 562n Beveridge, W.
Load more

Recommended publications
  • Eclipse Phase: After the Fall
    AFTER THE FALL In a world of transhuman survival and horror, technology allows the re-shaping of bodies and minds, but also creates opportunities for oppression and puts the capa- AFTER THE FALL bility for mass destruction in the hands of everyone. Other threats lurk in the devastated habitats of the Fall, dangers both familiar and alien. Featuring: Madeline Ashby Rob Boyle Davidson Cole Nathaniel Dean Jack Graham Georgina Kamsika SURVIVAL &SURVIVAL HORROR Ken Liu OF ANTHOLOGY THE Karin Lowachee TRANSHUMAN Kim May Steven Mohan, Jr. Andrew Penn Romine F. Wesley Schneider Tiffany Trent Fran Wilde ECLIPSE PHASE 21950 Advance THE ANTHOLOGY OF TRANSHUMAN Reading SURVIVAL & HORROR Copy Eclipse Phase created by Posthuman Studios EDITED BY JAYM GATES Eclipse Phase is a trademark of Posthuman Studios LLC. Some content licensed under a Creative Commons License (BY-NC-SA); Some Rights Reserved. © 2016 AFTER THE FALL In a world of transhuman survival and horror, technology allows the re-shaping of bodies and minds, but also creates opportunities for oppression and puts the capa- AFTER THE FALL bility for mass destruction in the hands of everyone. Other threats lurk in the devastated habitats of the Fall, dangers both familiar and alien. Featuring: Madeline Ashby Rob Boyle Davidson Cole Nathaniel Dean Jack Graham Georgina Kamsika SURVIVAL &SURVIVAL HORROR Ken Liu OF ANTHOLOGY THE Karin Lowachee TRANSHUMAN Kim May Steven Mohan, Jr. Andrew Penn Romine F. Wesley Schneider Tiffany Trent Fran Wilde ECLIPSE PHASE 21950 THE ANTHOLOGY OF TRANSHUMAN SURVIVAL & HORROR Eclipse Phase created by Posthuman Studios EDITED BY JAYM GATES Eclipse Phase is a trademark of Posthuman Studios LLC.
    [Show full text]
  • SESSION: Archaeology of the Future (Time Keeps on Slipping…)
    SESSION: Archaeology of the future (time keeps on slipping…) North American Theoretical Archaeology Group (TAG) New York University May 22-24, 2015 Organizer: Karen Holmberg (NYU, Environmental Studies) Recent interest in deep time from historical perspectives is intellectually welcome (e.g., Guldi and Armitage, 2014), though the deep past has long been the remit of archaeology so is not novel in archaeological vantages. Rather, a major shift of interest in time scale for archaeology came from historical archaeology and its relatively recent focus and adamant refusal to be the handmaiden of history. Foci on the archaeology of ‘now’ (e.g., Harrison, 2010) further refreshed and expanded the temporal playing field for archaeological thought, challenging and extending the preeminence of the deep past as the sole focus of archaeological practice. If there is a novel or intellectually challenging time frame to consider in the early 21st century, it is that of the deep future (Schellenberg, 2014). Marilyn Strathern’s (1992: 190) statement in After Nature is accurate, certainly: ‘An epoch is experienced as a now that gathers perceptions of the past into itself. An epoch will thus always will be what I have called post-eventual, that is, on the brink of collapse.’ What change of tone comes from envisioning archaeology’s role and place in a very deep future? This session invites papers that imaginatively consider the movement of time, the movement of archaeological ideas, the movement of objects, the movement of data, or any other form of movement the author would like to consider in relation to a future that only a few years ago might have been seen as a realm of science and cyborgs (per Haraway, 1991) but is increasingly fraught with dystopic environmental anxiety regarding the advent of the Anthropocene (e.g., Scranton, 2013).
    [Show full text]
  • Robert Walser, Paul Scheerbart, and Joseph Roth Vi
    Telling Technology Contesting Narratives of Progress in Modernist Literature: Robert Walser, Paul Scheerbart, and Joseph Roth Vincent Hessling Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2018 © 2018 Vincent Hessling All rights reserved ABSTRACT Telling Technology Contesting Narratives of Progress in Modernist Literature: Robert Walser, Paul Scheerbart, and Joseph Roth Vincent Hessling Telling technology explores how modernist literature makes sense of technological change by means of narration. The dissertation consists of three case studies focusing on narrative texts by Robert Walser, Paul Scheerbart, and Joseph Roth. These authors write at a time when a crisis of ‘progress,’ understood as a basic concept of history, coincides with a crisis of narra- tion in the form of anthropocentric, action-based storytelling. Through close readings of their technographic writing, the case studies investigate how the three authors develop alter- native forms of narration so as to tackle the questions posed by the sweeping technological change in their day. Along with a deeper understanding of the individual literary texts, the dissertation establishes a theoretical framework to discuss questions of modern technology and agency through the lens of narrative theory. Table of Contents ABBREVIATIONS ii ACKNOWLEDGEMENTS iii INTRODUCTION: Toward a Narratology of Technological Change 1 CHAPTER I: Robert Walser’s Der Gehülfe: A Zero-Grade Narrative of Progress 26 1. The Employee as a Modern Topos 26 2. The Master and the Servant: A Farce on Progress 41 3. Irony of ‘Kaleidoscopic Focalization’ 50 4. The Inventions and their Distribution 55 5.
    [Show full text]
  • Graduate Studies Program
    GRADUATE STUDIES PROGRAM Welcome It is our pleasure to welcome you to Singularity University. Our mission is to assemble, educate and inspire leaders who strive to understand and facilitate the development of exponentially advancing technologies in order to address humanity’s grand challenges. Singularity University’s Graduate Studies Program brings together a diverse group–the most accomplished experts in academics, business, and government together with the brightest students from across the globe–for an intense ten-week summer program. The program immerses participants in an unparalleled convergence learning environment. We also challenge our students with our 109+ Team Projects, asking them how they can positively affect the lives of a billion people within 10 years. The next few decades will see the transformation of the science and technology tools available to the world in a fashion more profound than any other time in our history. The current technology revolution moves at an exponential pace, and exponential technologies imply a future with capabilities previously unimagined. Singularity University was founded using the standpoint that with more capability comes more responsibility. Our commitment is to not only to teach, but also to act: to view the world’s Grand Challenges as opportunities to use advancing technology for the benefit of all. If you are interested in the world’s grand challenges, if you are an entrepreneur passionate about making your dreams materialize, and if you are at the top of your class then we hope you will consider applying to the Graduate Studies Program. If you are invited to participate in this highly selective program, you will experience a life-changing 10-week program and join an incredible community of thinkers and doers.
    [Show full text]
  • Top 10 Strategic Technology Trends for 2020
    Top 10 Strategic Technology Trends for 2020 Published: 21 October 2019 ID: G00432920 Analyst(s): David Cearley, Nick Jones, David Smith, Brian Burke, Arun Chandrasekaran, CK Lu Strategic technology trends have the potential both to create opportunity and to drive significant disruption. Enterprise architecture and technology innovation leaders must evaluate these top trends to determine how combinations of trends can power their innovation strategies. Key Findings ■ Strategic technology trends have significant potential to create and respond to disruption and to power both transformation and optimization initiatives. ■ Artificial intelligence (AI) is a foundational catalyst for advanced process automation and human augmentation and engagement. ■ Physical environments including factories, offices and cities will become “smart spaces” within which people will interact through multiple touchpoints and sensory channels for an increasingly ambient experience. ■ Dealing with privacy, digital ethics and security challenges generated by AI, the Internet of Things (IoT)/edge, and other evolving technologies will become critical to maintain trust and avoid legal entanglements. Recommendations Enterprise architecture and technology innovation leaders must: ■ Center their innovation efforts on people and use tools such as personas, journey maps, technology radars, and roadmaps to evaluate opportunities, challenges and time frames for adoption. ■ Build an overarching view across functional and process silos and exploit a complementary set of tools including RPA, iBPMS, DTO, application development, and AI domains that guide how the tools are used and the systems they create are integrated. ■ Embrace multiexperience and implement development platforms and design principles to support conversational, immersive and increasingly ambient experiences. ■ Establish governance principles, policies, best practices and technology architectures to increase transparency and trust regarding data and the use of AI.
    [Show full text]
  • Artificial Intelligence for Interstellar Travel
    Artificial Intelligence for Interstellar Travel Andreas M. Hein1 and Stephen Baxter2 1Initiative for Interstellar Studies, Bone Mill, New Street, Charfield, GL12 8ES, United Kingdom 2c/o Christopher Schelling, Selectric Artists, 9 Union Square 123, Southbury, CT 06488, USA. November 20, 2018 Abstract The large distances involved in interstellar travel require a high degree of spacecraft autonomy, realized by artificial intelligence. The breadth of tasks artificial intelligence could perform on such spacecraft involves maintenance, data collection, designing and constructing an infrastructure using in-situ resources. Despite its importance, exist- ing publications on artificial intelligence and interstellar travel are limited to cursory descriptions where little detail is given about the nature of the artificial intelligence. This article explores the role of artificial intelligence for interstellar travel by compiling use cases, exploring capabilities, and proposing typologies, system and mission archi- tectures. Estimations for the required intelligence level for specific types of interstellar probes are given, along with potential system and mission architectures, covering those proposed in the literature but also presenting novel ones. Finally, a generic design for interstellar probes with an AI payload is proposed. Given current levels of increase in computational power, a spacecraft with a similar computational power as the human brain would have a mass from dozens to hundreds of tons in a 2050 { 2060 timeframe. Given that the advent of the first interstellar missions and artificial general intelligence are estimated to be by the mid-21st century, a more in-depth exploration of the re- lationship between the two should be attempted, focusing on neglected areas such as protecting the artificial intelligence payload from radiation in interstellar space and the role of artificial intelligence in self-replication.
    [Show full text]
  • Jerks, Zombie Robots, and Other Philosophical Misadventures
    Jerks, Zombie Robots, and Other Philosophical Misadventures Eric Schwitzgebel Schwitzgebel July 24, 2018 Splintered Mind, 1 Dear Reader, What follows are a few dozen blog posts and popular articles, on philosophy, psychology, culture, and technology, updated and revised, selected from eleven hundred I published between 2006 and 2018. Skip the ones you hate. Eric Schwitzgebel July 24, 2018 Splintered Mind, 2 Part One: Moral Psychology 1. A Theory of Jerks 2. Forgetting as an Unwitting Confession of Your Values 3. The Happy Coincidence Defense and The-Most-I-Can-Do Sweet Spot 4. Cheeseburger Ethics (or How Often Do Ethicists Call Their Mothers?) 5. On Not Seeking Pleasure Much 6. How Much Should You Care about How You Feel in Your Dreams? 7. Imagining Yourself in Another’s Shoes vs. Extending Your Love 8. Aiming for Moral Mediocrity 9. A Theory of Hypocrisy 10. On Not Distinguishing Too Finely Among Your Motivations 11. The Mush of Normativity 12. A Moral Dunning-Kruger Effect? 13. The Moral Compass and the Liberal Ideal in Moral Education Part Two: Technology 14. Should Your Driverless Car Kill You So Others May Live? 15. Cute AI and the ASIMO Problem 16. My Daughter’s Rented Eyes 17. Someday, Your Employer Will Technologically Control Your Moods 18. Cheerfully Suicidal AI Slaves 19. We Have Greater Moral Obligations to Robots Than to (Otherwise Similar) Humans 20. Our Moral Duties to Monsters 21. Our Possible Imminent Divinity 22. Skepticism, Godzilla, and the Artificial Computerized Many-Branching You 23. How to Accidentally Become a Zombie Robot Part Three: Culture 24.
    [Show full text]
  • Introduction
    M889 - FULLER TEXT.qxd 4/4/07 11:21 am Page 1 Phil's G4 Phil's G4:Users:phil:Public: PHIL'S JO Introduction Science and Technology Studies (STS) is an interdisciplinary field usually defined as the confluence of three fields with distinct intellec- tual lineages and orientations: history of science, philosophy of science, and sociology of science. All three have been marginal to their named disciplines, because surprisingly few of the original practitioners of history, philosophy, or sociology of science were primarily trained in history, philosophy, or sociology. Rather, they were natural or exact scientists who came to be disenchanted with the social entanglements of their chosen fields of study. In effect, they fell victim to an intellec- tual bait-and-switch, whereby the reasons they entered science failed to explain science’s continued support in the wider society. This point often makes STS appear more critical than many of its practitioners intend it to be. STS researchers are virtually in agreement that people tend to like science for the wrong reasons (i.e. they are too easily taken in by its hype), but relatively few STS researchers would thereby con- clude that there are no good reasons to like science. There have been three generations of STS research, and each tells a different story of disenchantment with science. First, the logical pos- itivists, including Karl Popper, were keen to protect the theoretical base of science from the technological devastation that was wrought in its name during World War I. Next, Thomas Kuhn and his con- temporaries on both sides of the Atlantic – including Paul Feyerabend, Imre Lakatos, Stephen Toulmin, Derek de Solla Price – tried to do the same vis-à-vis World War II, though, more than the previous genera- tion, they relied on science’s past for normative guidance, largely out of a realization of technology’s contemporary role in scaling up the sci- entific enterprise and giving it forward momentum.
    [Show full text]
  • An Overview of Mind Uploading
    IOSR Journal of Engineering (IOSR JEN) www.iosrjen.org ISSN (e): 2250-3021, ISSN (p): 2278-8719 PP 18-25 An Overview of Mind Uploading Mrs. Mausami Sawarkar1, Mr. Dhiraj Rane2 Dept of CSE, Priydarshani J L CoE, Nagpur Dept. of CS, GHRIIT, Nagpur Abstract: Mind uploading is an ongoing area of active research, bringing together ideas from neuroscience, computer science, engineering, and philosophy. Realistically, mind uploading likely lies many decades in the future, but the short-term offers the possibility of advanced neural prostheses that may benefit us. Mind uploading is the conceptual futuristic technology of transferring human minds tocomputer hardware using whole-brain emulation process. In this research work, we have discuss the brief review of the technological prospectsfor mind uploading, a range of philosophical and ethical aspects of the technology. We have also summarizes various issues for mind uploading. There are many technologies are working on these issues will be summarize. These include questions about whether uploads will have consciousness and whether uploading willpreserve personal identity, as well as what impact on society a working uploading technology is likelyto have and whether these impacts are desirable. The issue of whether we ought to move forwardstowards uploading technology remains as unclear as ever. Keywords: Mind Uploading, Whole brain simulation, I. Introduction Mind uploading is an ongoing area of active research, bringing together ideas from neuroscience, computer science, engineering, and philosophy. Realistically, mind uploading likely lies many decades in the future, but the short-term offers the possibility of advanced neural prostheses that may benefit us. Mind uploading is a popular term for a process by which the mind, a collection of memories, personality, and attributes of a specific individual, is transferred from its original biological brain to an artificial computational substrate.
    [Show full text]
  • Essays on the Ethics of Emerging Technologies
    CRUCIAL CONSIDERATIONS: ESSAYS ON THE ETHICS OF EMERGING TECHNOLOGIES KARIM A. JEBARI Licentiate Thesis Stockholm, Sweden 2012 Abstract. Jebari, Karim A. 2012. Crucial Considerations: Essays on the Ethics of Emerging Technologies Theses in Philosophy from the Royal Institute of Technology 42. 79 + vi pp. Stockholm. ISBN 978-91-637- 2006-2 Essay I explores brain machine interface (BMI) technologies. These make direct communication between the brain and a machine possible by means of electrical stimuli. This essay reviews the existing and emerging technologies in this field and offers a systematic inquiry into the relevant ethical problem ii This licentiate thesis consists of an introduction and the following essays: I. Jebari, Karim A., “Brain Machine Interface and Human Enhancement. An Ethical Review” Forthcoming in Neuroethics II. Jebari, Karim A. and Hansson, Sven Oven., “European Public Deliberation on Brain Machine Interface Technology” Submitted manuscript III. Jebari, Karim A., “Three Kinds of Moral Enhancement” Submitted manuscript © 2012 by Karim A. Jebari ISSN 1650-8831 ISBN 978-91-637-2006-2 Printed in Stockholm, Sweden by E-print AB 2012 iii CONTENTS ACKNOWLEDGMENTS vi INTRODUCTION 1 I. Previous research on human enhancement 1 II. Human enhancement and public discourse 3 III. Human dignity 4 IV. Summary of the essays 7 V. Sammanfattning på svenska 9 ESSAYS I. BRAIN MACHINE INTERFACE AND HUMAN ENHANCEMENT. AN ETHICAL REVIEW 17 1. Introduction 17 2. Existing Brain Machine Interfaces 19 3. Experimental technologies 23 4. Ethical considerations 27 5. Concluding remarks 33 II. EUROPEAN PUBLIC DELIBERATION ON BRAIN MACHINE INTERFACE TECHNOLOGY 34 1. Introduction 34 2. Theoretical background 36 3.
    [Show full text]
  • Jerks, Zombie Robots, and Other Philosophical Misadventures
    Jerks, Zombie Robots, and Other Philosophical Misadventures Eric Schwitzgebel Schwitzgebel July 23, 2018 Splintered Mind, 1 Dear Reader, What follows are a few dozen blog posts and popular articles, on philosophy, psychology, culture, and technology, updated and revised, selected from eleven hundred I published between 2006 and 2018. Skip the ones you hate. Eric Schwitzgebel July 23, 2018 Splintered Mind, 2 Part One: Moral Psychology 1. A Theory of Jerks 2. Forgetting as an Unwitting Confession of Your Values 3. The Happy Coincidence Defense and The-Most-I-Can-Do Sweet Spot 4. Cheeseburger Ethics (or How Often Do Ethicists Call Their Mothers?) 5. On Not Seeking Pleasure Much 6. How Much Should You Care about How You Feel in Your Dreams? 7. Imagining Yourself in Another’s Shoes vs. Extending Your Love 8. Aiming for Moral Mediocrity 9. A Theory of Hypocrisy 10. On Not Distinguishing Too Finely Among Your Motivations 11. The Mush of Normativity 12. A Moral Dunning-Kruger Effect? 13. The Moral Compass and the Liberal Ideal in Moral Education Part Two: Technology 14. Should Your Driverless Car Kill You So Others May Live? 15. Cute AI and the ASIMO Problem 16. My Daughter’s Rented Eyes 17. Someday, Your Employer Will Technologically Control Your Moods 18. Cheerfully Suicidal AI Slaves 19. We Have Greater Moral Obligations to Robots Than to (Otherwise Similar) Humans 20. Our Moral Duties to Monsters Schwitzgebel July 23, 2018 Splintered Mind, 3 21. Our Possible Imminent Divinity 22. Skepticism, Godzilla, and the Artificial Computerized Many- Branching You 23. How to Accidentally Become a Zombie Robot Part Three: Culture 24.
    [Show full text]
  • Transhumanism, Progress and the Future
    A peer-reviewed electronic journal published by the Institute for Ethics and Emerging Technologies ISSN 1541-0099 20(2) – December 2009 Transhumanism, Progress and the Future Philippe Verdoux [email protected] Journal of Evolution and Technology - Vol. 20 Issue 2 –December 2009 - pgs 49-69 http://jetpress.org/v20/verdoux.htm Abstract This paper argues that one can advocate a moral imperative to pursue enhancement technologies while at the same time rejecting the historical reality of progress and holding a pessimistic view of the future. The first half of the paper puts forth several arguments for why progress is illusory and why one has good reason to be pessimistic about the future of humanity (and posthumanity). The second half then argues that this is entirely consistent with also championing the futurological vision of transhumanism. The claim is that, relative to the alternatives proposed, this vision actually offers the safest route into the future, even if it also entails an increase in the probability of self-annihilation. 1. Transhumanism and progress Transhumanism is a recent philosophical and cultural movement that has both descriptive and normative components: (1) the descriptive claim is that current and anticipated future technologies will make it possible to radically alter both our world and persons, not just by “enhancing” the capacities that we already have but also by adding entirely new capacities not previously had.1 (2) The normative claim is that we ought to do what we can to foment and accelerate the creation of such “enhancement” technologies, thereby converting the possibility of a “posthuman” future into an actuality.
    [Show full text]