XAI & I: Self-explanatory AI facilitating mutual understanding between AI and human experts

When Will AI Exceed Human Performance? Evidence from AI Experts

Advances in artificial intelligence (AI) will transform modern life by reshaping transportation, health, science, finance, and the military [1, 2, 3]. To adapt public policy, we need to better anticipate these advances [4, 5]. Here we report the results from a large survey of machine learning researchers on their beliefs about progress in AI. Researchers predict AI will outperform humans in man...

Speech Understanding and AI/AI and Speech Understanding

The Advanced Research Projects Agency of the Department of Defense sponsored a five year research program wi th the goal of developing a speech understanding system capable of engaging a human operator in a natural conversat ion concerning a specific task domain. Among the just i f icat ions fot undertaking the enterpr ise in 1971 were the developments in artif icial intelligence taking place a...

A Better Understanding of Ai

◆ Analyzing records in a systematic fashion should be the first step in evaluation of the AI program. Percent successful on first service, monthly trends for percent successful on first service, and percent successful stratified by inseminator should be used to evaluate AI technique and fertility level of the herd. ◆ Four general categories are used to classify the factors that determine the ul...

Understanding Estimates of AI Sire Fertility

Reducing the Representational Distance Between Application Domain Experts and AI Planning Technology: A Compilation Approach

We present a compilation-based approach to reducing the representational distance between application domain experts and AI planning technology. The approach combines a representation designed to match the structure of human expertise in the construction industry with an established planning technique. The design of this representation is derived from a study carried out with experts in the ind...