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Needs and Artificial Intelligence
We argue that re-thinking needs for, through, and by AI can be a very useful means towards the development of realistic approaches for Sustainable, Human-centric, Accountable, Lawful, and Ethical (HALE) AI systems.
Needs-aware Artificial Intelligence: AI that 'serves [human] needs'
By defining the current limits (and thereby the frontiers), many boundaries are shaping, and will continue to shape, the future of Artificial Intelligence (AI).
Competency Model Approach to AI Literacy: Research-based Path from Initial Framework to Model
We propose here a research matrix as an initial step in the development of a roadmap for AI Literacy research, which requires a systematic and coordinated effort with the support of publication outlets and research funding, to expand the areas of competency and assessments.
Monitoring Trust in Human-Machine Interactions for Public Sector Applications
A challenge to analyzing the EEG and GSR data is the large amount of training data required due to a large number of variables in the measurements.
Lunar Crater Identification in Digital Images
It is often necessary to identify a pattern of observed craters in a single image of the lunar surface and without any prior knowledge of the camera's location.
