scholarly journals An approach to the judicial evaluation of evidence from computers and computer systems

Author(s):  
Michael Jackson

The evaluation of evidence derived from a complex computer system is difficult: past experience of reliable operation in general is an uncertain guide to the value of specific evidence in a particular case. By setting the evidence in question in the context of the complete transaction to which it pertains, and tracking the system’s processing path for the transaction, better guidance may be obtained. Difficulty in elucidating the processing path may itself cast doubt on the evidence in question.   Index words: complexity, computer, evidence, path, transaction

2020 ◽  
Author(s):  
S Mukhtar Ayubi Simatupang

AbstrakBrainware adalah istilah yang digunakan untuk manusia yang digunakan untuk manusia yang berhubungan dengan sistem komputer. Manusia merupakan suatu elemen dari sistem komputer yang merancang bagaimana suatu mesin dapat bekerja sesuai dengan hasil yang diinginkan. Tingkatan brainware terdiri atas system analyst, programmer, administrator, dan operator. Bagian bagian brainware terdiri atas operator komputer, teknisi, trainer, konsultan, project manager, programmer, grapic designer, spesialis jaringan, database administrator, dan system analitis. Kata Kunci : Brainware (Perangkat Sumber Daya Manusia)AbstractBrainware is a term used for humans that is used for humans related to computer systems. Humans are an element of a computer system that designs how a machine can work in accordance with the desired results. The brainware level consists of system analysts, programmers, administrators, and operators. The brainware section consists of computer operators, technicians, trainers, consultants, project managers, programmers, grapic designers, network specialists, database administrators, and system analytics.Keywords: Brainware (Human Resources Tool)


Author(s):  
Joshua A. Kroll

This chapter addresses the relationship between AI systems and the concept of accountability. To understand accountability in the context of AI systems, one must begin by examining the various ways the term is used and the variety of concepts to which it is meant to refer. Accountability is often associated with transparency, the principle that systems and processes should be accessible to those affected through an understanding of their structure or function. For a computer system, this often means disclosure about the system’s existence, nature, and scope; scrutiny of its underlying data and reasoning approaches; and connection of the operative rules implemented by the system to the governing norms of its context. Transparency is a useful tool in the governance of computer systems, but only insofar as it serves accountability. There are other mechanisms available for building computer systems that support accountability of their creators and operators. Ultimately, accountability requires establishing answerability relationships that serve the interests of those affected by AI systems.


1985 ◽  
Vol 10 (2) ◽  
pp. 79-86 ◽  
Author(s):  
Anne Costigan ◽  
Frances E. Wood ◽  
David Bawden

A comparative evaluation of three implementations of a large databank, the NIOSH Registry of Toxic Effects of Chem ical Substances, has been carried out. The three implementa tions are: a printed index, a text searching computer system, and a computerised chemical databank system, with substruc ture searching facilities. Seven test queries were used, with the aim of drawing conclusions of general relevance to chemical databank searching. The computer systems were shown to have advantages over printed indexes for several of the queries, including those involving an element of browsing. Substructure search facilities were especially advantageous. Aspects of indexing of data present, and the criteria for inclusion of types of data, were also highlighted.


1988 ◽  
Vol 13 (1) ◽  
pp. 25-32 ◽  
Author(s):  
T V Seshadri ◽  
N Kinra

Who, in the organization, buys the computer system? How are various departments involved in the organizational decision process? T V Seshadri and N Kinra analyse the decision processes of 30 organizations that had bought a computer system—mini, mainframe, or macro. Based on a questionnaire study and factor analysis, the authors conclude that the EDP department and Board of Directors are critical in the buying grids of the purchasing organizations. They draw implications of their findings for managers marketing computer systems.


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