Defenses against adversarial attacks are essential to ensure the reliability of machine learning models as their applications are expanding in different domains. Existing ML defense techniques have several limitations in practical use. I proposed a trustworthy framework that employs an adaptive strategy to inspect both inputs and decisions. In…

The science of artificial intelligence, or AI, is leaping ahead as more resources are focused on its promise. In this article, the authors discuss the ways in which we have explored significant, critical questions about AI in a college literature course through reading young adult (YA) novels. Although it's improving, AI or machine intelligence is…

Over the past decade, computer games and other interactive technologies have shown great potential when used in innovative ways to enhance learning. It is now known that learning is associated not only with cognitive ability but also with affect. The incorporation of affective embodied pedagogical agents (EPAs) in computer programs for learning…

Research on the use of software programs and tools such as pedagogical agents has peaked over the last decade. Pedagogical agents are on-screen characters that facilitate instruction. This meta-analysis examined the effect of using pedagogical agents on learning by reviewing 43 studies involving 3,088 participants. Analysis of the results…

Discusses educational technology as a form of technical rationality and considers the conflict between practitioners' epistemological position as constructivists and technical rationality. Topics include cybernetics; autonomous systems theory; enactive constructivism; representation versus effective action; mind and memory; enaction in artificial…

Describes possible applications of new technologies to special education. Discusses results of a study designed to explore the use of robotics, artificial intelligence, and computer simulations to aid people with handicapping conditions. Presents several scenarios in which specific technological advances may contribute to special education…

This paper presents the concepts of a computer-directed system to improve human performance in structured learning situations. Attention is focused on finite-state systems in order to provide a systematic method for constructing training systems and to assist in analysis of problem solving and curriculum planning. The finite-state approach allows…

Massachusetts Institute of Technology (MIT) presents a bibliography of more than 350 reports, theses, and papers from its artificial intelligence laboratory. Title, author, and identification number are given for all items, and most also have a date and contract number. Some items are no longer available, and others may be obtained from National…

This document reports the results of an examination of the external and internal environments of the Internal Revenue Service (IRS) and the most promising technological tools and methods to create the training system capabilities the IRS will need in the future. Following an executive summary, chapter 1 describes how the document was developed.…