Ethics and Computing in Computer Science
EMPOWERMENT AND RESPONSIBILITY
Errors and Hazards and Their Consequences
Despite the best of care and talent, computation is subject to uncertainties, which experts call "errors (Landau, 2008)." Some of these errors are man-made and some are produced by the computer itself. The four classes of errors are blunders or bad theory, random errors, approximation or algorithm errors, and round-off errors. Blunders are typographical errors or errors caused by running or using the wrong program or similar errors. Random errors are results of occurrences like fluctuations in electronics or cosmic rays running through the computer. Algorithm or approximation errors include the substitution of finite by infinite figures or variable inputs by constants. And round-off errors are inaccuracies as the finite number of digits for storing floating numbers (Landau). Peter Neumann at the SRI International identified more than 400 incidents of these errors, hazards and other problems, which can injure users and lead to financial loss. And these are not isolated or infrequent incidents. They happen as a consequence of encouraging programmers to produce large programs in haste and despite the awareness of the strong probability of these errors and hazards (Jacky).
Computing hazards include a race condition and memory leak (Jacky, 1989). A race condition or hazard is a system misbehavior, which results from the sequence or timing uncontrollable events or outside stimuli on which the output depends. And a memory leak refers to the gradual loss of available memory when a program or application in an operating system from continued but temporary use. But a classic computing hazard involves Therac-25. The Therac-25 is a radiation therapy machine produced by the Atomic Energy of Canada Limited put to use after the Therac-6 and Therac-20. There were 6 incidents between 1985 and 1987 during which medical patients were given massive doses of radiation approximately 100 times the intended doses. These deadly occurrences reveal the dangers that software control of safety critical systems are capable of inflicting (Jacky).
The sad state is that the production and control of these wares are still largely unregulated (Jacky, 1989). Only aviation and nuclear power application softwares are subjected to government approval prior to purchase. The Food and Drug Administration, fortunately, started regulating software for use as medical devices. After the Therac incidents, there arose the clamor for certification of software professionals involved in safety projects. Concerned sectors want stricter government control. There are other sectors, however, which oppose this because of the likelihood of government interference and increased costs. Some believe that the solution is not regulation but effective management. Those in the industry have three approaches to the problem. The first is to regulate the people who provide the services. The second is to certify organizations, companies or departments, which produce software and other wares. And the third is to regulate the products themselves. When systems fail, the victims or their families may file lawsuits against the vendors and the providers for damages (Jacky).
II. Artificial Intelligence, Robotics, Cybernetic Augmentations and Their Consequences
Artificial intelligence or AI is a computer with the learning or cognitive abilities or consciousness of a human being (Yudkowsky, 2008; Tech Target 2005)). It has been described as a "machine with a soul." The two basic approaches to AI are top-down and the bottom-up, the latter being the more familiar. Most scientists, however, believe that the top-down version is better because it allows the computer to "learn" about the environment. The ultimate goal for aI is to pass the Turing Test in which a human interrogator converses simultaneously via instant messaging with a human subject and with a computer. This computer has attained or been programmed with human-level intelligence. If the interrogator cannot distinguish between them because both sound human, the computer passes the test. It means that it has attained human level of cognition. A truly intelligent computer, however, may be unpredictable and even dangerous. If it attains the human level, it can design a more advanced model beyond the human ability to understand. As a dire consequence, these machines may take over the earth (Yudkowsky, Tech Target).
Physicalist John Searle presents the Chinese Room argument that computers do not really understand language (Koperski, 1991). Even a machine that is programmed to always respond appropriately, it will only be merely following man-made instructions. It does not possess the will to obey...
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