In this position paper, the authors lay out the imperative for equitable artificial intelligence (AI), highlighting the essential role of access-oriented institutions and calling on technology companies (both large and small), foundations, and local, state, and federal regulators to consult with the newly convened Complete College America Council…

Commonly used machine learning applications seem to relate to big data. This article provides a gentle review of machine learning and shows why machine learning can be applied to small data too. An example of applying machine learning to screen irregularity reports is presented. In the example, the support vector machine and multinomial naïve…

This commentary to the recent article by Musso et al. (2013) discusses issues related to model fitting, comparison of classification accuracy of generative and discriminative models, and two (or more) cultures of data modeling. We start by questioning the extremely high classification accuracy with an empirical data from a complex domain. There is…

In this article, the author talks about the auto correction mode of word processors that leads to a number of problems and describes an example in biochemistry exams that shows how word processors can lead to mistakes in databases and in papers. The author contends that, where this system is applied, spell checking should not be left to a word…

Describes design and presents examples of industrial use of small expert systems and guidelines for choosing problems which lend themselves to small tool solutions. Use of microcomputer facilitated decision tables to diagnose and categorize people, things, and issues is suggested, and development of three decision table formats is described. (MBR)

Trends in mechanical translation are reviewed briefly, and difficulties in selecting appropriate equivalencies are cited. Decisions dependent upon real world knowledge rather than dictionary equivalents and grammar are illustrated. (15 references) (LB)

Discusses ways in which artificial intelligence could be applied to improve the ease of use, quality of retrieval, and organization of data in online services or CD-ROM. (MES)

Herbert Simon (Nobel prize-winning economist/professor) expresses his views on human and artificial intelligence, problem solving, inventing concepts, and the future. Includes comments on expert systems, state of the art in artificial intelligence, robotics, and "Bacon," a computer program that finds scientific laws hidden in raw data.…

The first of three articles on the design of user interfaces for information retrieval systems discusses the need to examine types of display, prompting, and input as separate entities. The second examines the use of artificial intelligence in creating natural language interfaces, and the third outlines standards for case studies in human computer…

The computer industry is growing at a phenomenal rate as technology advances and prices fall, stimulating unprecedented demand from business, government, and individuals. Higher levels of education will be the key to securing employment as organizations increasingly rely on sophisticated technology. (Author)

This paper examines the relationship between democratic citizenship and information technology. Modern information technology disputes the idea that citizens can be properly educated to assume the burdens necessary to reap the blessing of freedom. Information technologies challenge the ability of citizens to fulfill the fundamental requirement of…

Discusses developments in artificial intelligence in terms of their impact on school library media centers and the role of media specialists. Possible uses of expert systems, hypertext, and CD-ROM technologies in school media centers are examined and the challenges presented by these technologies are discussed. Fourteen sources of additional…

Describes three principal types of embedded training: help systems, simulations, and intelligent tutors. Implications of designing and implementing embedded training are discussed in terms of a set of propositions about the use of computers for learning. (Author/MBR)

Computer-based information systems have evolved from emphasizing data processing to providing full and flexible support for management. They have moved from providing mere data to providing a medium for representing knowledge wherein managers can analyze data, formulate ideas, structure arguments, and building models. (Author/MLW)

Examines processes by which general but weak search methods are transformed into powerful, domain-specific search strategies by classifying types of heuristics learning that can occur and components that contribute to such learning. A learning system--SAGE.2--and its structure, behavior in different domains, and future directions are explored. (36…