Governance of artificial intelligence

Artificial Intelligence for Artificial Artificial Intelligence

Crowdsourcing platforms such as Amazon Mechanical Turk have become popular for a wide variety of human intelligence tasks; however, quality control continues to be a significant challenge. Recently, we propose TURKONTROL, a theoretical model based on POMDPs to optimize iterative, crowdsourced workflows. However, they neither describe how to learn the model parameters, nor show its effectiveness...

Artificial Intelligence Approach Analyzing Management Ability Based on Accounting and Corporate Governance Criteria

The aim of this research is the analysis of management ability using accounting and corporate governance criteria and also artificial intelligence. The primary independent variables in this study include regulatory variables (characteristics of corporate governance and audit committee) and accounting variables (performance and risk criteria). We took advantage of Demirjian index to measure mana...

Intelligence in Artificial Intelligence

ions of these networks, eg, cube on cube (The Society of Mind by Marvin Minsky, MIT, 1985) and “learning” mechanisms (The Organization of Behavior by Donald O Hebb, 1949) may not constitute intelligence. These processes populate fields with values from the user environment which can be selectively used (per contra hard coded defined sets). For example, NEST Learning Thermostat uses input values...

Territorial Intelligence and Governance

FOUNDATIONS OF ARTIFICIAL INTELLIGENCE Foundations of Artificial Intelligence Series Editors

A conceptual graph (CG) is a graph representation for logic based on the semanticnetworks of artificial intelligence and the existential graphs of Charles Sanders Peirce.Several versions of CGs have been designed and implemented over the past thirtyyears. The simplest are the typeless core CGs, which correspond to Peirce’s originalexistential graphs. More common are the exte...