As self-learning pricing algorithms become popular, there are growing concerns among academics and regulators that could learn to collude tacitly on non-competitive prices thereby harm competition. I study popular reinforcement learning show they develop collusive behavior in a simulated market environment. To derive counterfactual resembles traditional tacit collusion, conduct experiments with...

Algorithmic risk assessment is hailed as offering criminal justice officials a science-led system to triage offender populations better manage low- versus high-risk individuals. Risk algorithms have reached the pretrial world best practices method aid in reforms reduce reliance upon money bail and moderate detention’s material contribution mass incarceration. Still, these promises are elusive i...

In this paper, we review algorithmic bias in education, discussing the causes of that and reviewing empirical literature on specific ways is known to have manifested education. While other recent work has reviewed mathematical definitions fairness expanded approaches reducing bias, our focuses instead solidifying current understanding concrete impacts education—which groups are be impacted whic...

Algorithmic human resources management (HRM) is becoming increasingly popular among organizations and many HRM processes include automated decision making functions. Research very active in the domain, spans across machine learning data mining, aiming to provide accurate methods predict best candidates for job roles, or personnel development others. In this work, we present a Naïve Bayes based ...

Fault detection in analog to digital converters is a difficult task that can been enhanced with the application of Built-in Sensors. The special capability of dynamic current sensors, that include the capability to process the highest frequency components in the dynamic power supply current, to detect fault in SI algorithmic analog to digital converter, with a relative reduce area increments in...

design loop, which covers a large number of design steps (called synthesis loop in figure 1). Therefore, a single cycle of the design loop is quite expensive to perform. Our approach to face this problem is to cut the design loop on a high level of abstraction by integrating a high-level estimation step. This results in a design loop which is tight and settled on high level of abstraction (call...

An important issue in the design of visualization systems is to allow flexibility in providing a range of interfaces to a single body of algorithmic software. In this paper we describe how the ADVISE architecture provides exactly this flexibility. The architecture is cleanly separated into three layers: user interface, web service middleware and visualization components. This gives us the flexi...

| We describe a system, developed as part of the Cameron project, which compiles programs written in a single-assignment subset of C called SA-C into data ow graphs, and then into VHDL. The primary application domain is image processing. The system consists of an optimizing compiler which produces data ow graphs, and a data ow graph to VHDL translator. The method used for the translation is des...