Ethics and professional responsibility in computing
2008
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Abstract
Computing professionals perform a variety of tasks: They write specifications for new computer systems, they design instruction pipelines for superscalar processors, they diagnose timing anomalies in embedded systems, they test and validate software systems, they restructure the back-end databases of inventory systems, they analyze packet traffic in local area networks, and they recommend security policies for medical information systems.
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The aim of this paper is to show that ethics is required for the successful performance of a computing professional. The increase dependence on computers for critical infrastructures essential for the functioning of a society and its economy has given rise to host of ethical, social, and legal issues. The ability to make sound ethical decision is thus an important part of computer science professional skills. The paper examines the ethical dilemmas computer scientists face and discusses ways to tackle the dilemmas. The author used primary and secondary method of data collection which is questionnaire, interview method and examination of document. The paper concludes with the need for the challenges of ethics in computer science profession need to be tackled. Also the author recommended that since computer science and the discipline's technological artifacts touch nearly every aspect of modern life, that computer scientist must conduct and report their professional skills in an ethical manner.
Computing technologies and artifacts are increasingly integrated into most aspects of our professional, social, and private lives. One consequence of this growing ubiquity of computing is that it can have significant ethical implications that computing professionals need to be aware of. The relationship between ethics and computing has long been discussed. However, this is the first comprehensive survey of the mainstream academic literature of the topic. Based on a detailed qualitative analysis of the literature, the article discusses ethical issues, technologies that they are related to, and ethical theories, as well as the methodologies that the literature employs, its academic contribution, and resulting recommendations. The article discusses general trends and argues that the time has come for a transition to responsible research and innovation to ensure that ethical reflection of computing has practical and manifest consequences.
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We can notice that the general public awareness on ethical aspects of technology is increasing. The high level of media attention given to computerrelated disasters in technical systems such as the explosion of Ariane V in 1996 and the Therac-25 computerized radiation machine overdoses has increased interest in Computer Ethics.
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Computer ethics is a new branch of ethics that is growing and changing rapidly as computer technology also grows and develops. The term "computer ethics" is open to interpretations both broad and narrow. On the one hand, for example, computer ethics might be understood very narrowly as the efforts of professional philosophers to apply traditional ethical theories like utilitarianism, Kantianism, or virtue ethics to issues regarding the use of computer technology. On the other hand, it is possible to construe computer ethics in a very broad way to include, as well, standards of professional practice, codes of conduct, aspects of computer law, public policy, corporate ethics--even certain topics in the sociology and psychology of computing.
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This class introduces philosophical ethics through contemporary issues concerning computing technology. Topics include algorithmic bias and fairness, data privacy, cybersecurity, surveillance, free speech, automation, and artificial intelligence. A running theme will be how technologies are situated within social and political systems, and what kinds of ethical implications that brings. In her recent book Weapons of Math Destruction, Cathy O'Neil writes: Data is not going away. Nor are computers-much less mathematics. Predictive models are, increasingly, the tools we will be relying on to run our institutions, deploy our resources, and manage our lives. But as I've tried to show throughout this book, these models are constructed not just from data but from the choices we make about which data to pay attention to and which to leave out. Those choices are not just about logistics, profits, and efficiency. They are fundamentally moral.
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Ethical Computing is instrumental in identifying and reaching a near-ideal solution to the problems arising from an environment that is technology-driven information-intensive. Many of these problems could have been avoided, occur, because we are either insensitive to or ignorant of their ethical implications. As a result, we could reach only a partial, compromised solution at best. An ideal solution is expected to be technically efficient, financially viable and legal admissible, ethically acceptable, socially desirable, and in many situations environmentally-friendly (the so-called hexa-dimension criteria), and balanced in terms the six criteria or five criteria (in case the problem does not involve ecological concerns). An exposition of an ideal solution in terms of the requisite competence and the additive is presented.

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