Explainable AI lacks regulative reasons: why AI and human decision-making are not equally opaque

Transparent, explainable, and accountable AI for robotics

Recent governmental statements from the United States (USA) (1, 2), the European Union (EU) (3), and China (4) identify artificial intelligence (AI) and robotics as economic and policy priorities. Despite this enthusiasm, chal lenges remain. Systems can make unfair and discriminatory decisions, replicate or develop biases, and behave in inscrutable and unexpected ways in highly sensitive enviro...

Intelligent Decision Making: An AI-Based Approach

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Why Not All Verbs Are Learned Equally

This paper investigates whether children learn all verbs with equal ease. Based on a longitudinal study of a Japanese-speaking child, I will demonstrate that the child has a bias toward intransitive verbs. Moreover, intransitive verbs that enter into the child’s early vocabulary tend to be verbs that denote motion with specific path or definable goal. It is claimed that a driving force for the ...

Incorporating AI into Military Decision Making: An Experiment

prototype technologies to produce a necessarily crude but sufficiently usable suite of decision aids. We placed the resulting ICCES in the hands of several Army officers in controlled experiments. The results alleviated concerns about the tool’s potential negative impacts, showed potential for dramatic time savings, and confirmed the technologies’ maturity and suitability for near-future deploy...

Ai Tools in Decision Making Support Systems: a Review