Equilibrium Bias of Technology

The study of the bias of new technologies is important both as part of the analysis of the nature of technology adoption and the direction of technological change, and to understand the distributional implications of new technologies. In this paper, I analyze the equilibrium bias of technology. I distinguish between the relative bias of technology, which concerns how the marginal product of a factor changes relative to that of another following the introduction of new technology, and the absolute bias, which looks only at the effect of new technology on the marginal product of a factor. The first part of the paper generalizes a number of existing results in the literature regarding the relative bias of technology. In particular, I show that when the menu of technological possibilities only allows for factor-augmenting technologies, the increase in the supply of a factor always induces technological change (or technology adoption) relatively biased towards that factor. This force can be strong enough to make the relative marginal product of a factor increasing in response to an increase in its supply, thus leading to an upward-sloping relative demand curve. However, I also show that the results about relative bias do not generalize when more general menus of technological possibilities are considered. In the second part of the paper, I show that there are much more general results about absolute bias. I prove that under fairly mild assumptions, an increase in the supply of a factor always induces changes in technology that are absolutely biased towards that factor, and these results hold both for small changes and large changes in supplies. Most importantly, I also determine the conditions under which the induced-technology response will be strong enough so that the price (marginal product) of a factor increases in response to an increase in its supply. These conditions correspond to a form of failure of joint concavity of the aggregate production function of the economy in factors and technology. This type of failure of joint concavity is quite possible in economies where equilibrium factor demands and technologies are decided by different agents.

Language (Technology) is Power: A Critical Survey of "Bias" in NLP

We survey 146 papers analyzing "bias" in NLP systems, finding that their motivations are often vague, inconsistent, and lacking in normative reasoning, despite the fact that analyzing "bias" is an inherently normative process. We further find that these papers' proposed quantitative techniques for measuring or mitigating "bias" are poorly matched to their motivations and do not engage with the relevant literature outside of NLP. Based on these findings, we describe the beginnings of a path forward by proposing three recommendations that should guide work analyzing "bias" in NLP systems. These recommendations rest on a greater recognition of the relationships between language and social hierarchies, encouraging researchers and practitioners to articulate their conceptualizations of "bias"---i.e., what kinds of system behaviors are harmful, in what ways, to whom, and why, as well as the normative reasoning underlying these statements---and to center work around the lived experiences of members of communities affected by NLP systems, while interrogating and reimagining the power relations between technologists and such communities

Design of A Low Power Low Voltage CMOS Opamp

In this paper a CMOS operational amplifier is presented which operates at 2V power supply and 1microA input bias current at 0.8 micron technology using non conventional mode of operation of MOS transistors and whose input is depended on bias current. The unique behaviour of the MOS transistors in subthreshold region not only allows a designer to work at low input bias current but also at low voltage. While operating the device at weak inversion results low power dissipation but dynamic range is degraded. Optimum balance between power dissipation and dynamic range results when the MOS transistors are operated at moderate inversion. Power is again minimised by the application of input dependant bias current using feedback loops in the input transistors of the differential pair with two current substractors. In comparison with the reported low power low voltage opamps at 0.8 micron technology, this opamp has very low standby power consumption with a high driving capability and operates at low voltage. The opamp is fairly small (0.0084 mm 2) and slew rate is more than other low power low voltage opamps reported at 0.8 um technology [1,2]. Vittoz at al [3] reported that slew rate can be improved by adaptive biasing technique and power dissipation can be reduced by operating the device in weak inversion. Though lower power dissipation is achieved the area required by the circuit is very large and speed is too small. So, operating the device in moderate inversion is a good solution. Also operating the device in subthreshold region not only allows lower power dissipation but also a lower voltage operation is achieved.Comment: 8 Pages, VLSICS Journa

The Gender Dimension of Technical Change and Job Polarisation

Many studies have shown that technical change has led to job polarisation. A relatively unexplored aspect of this is whether there has been a gender bias. This paper is the first to show gender bias in technology driven skill polarisation. Between 1997 and 2006 the demand for women shows hollowing out across high, medium and low education groups, as a consequence of technical change. This was not the case for men. Decomposing the fall in the gender pay gap shows further evidence for gender biased technological change. For moderate and complex computer users the fall in the gender pay gap remains largely unexplained suggesting gender biased demand shifts have significantly contributed to the closing of the gender pay gap.Gender Pay, Task-Bias Technology Change, Skills

Turbulence driven particle transport in Texas Helimak

We analyze the turbulence driven particle transport in Texas Helimak (K. W. Gentle and Huang He, Plasma Sci. and Technology, 10, 284 (2008)), a toroidal plasma device with one-dimensional equilibrium with magnetic curvature and shear. Alterations on the radial electric field, through an external voltage bias, change spectral plasma characteristics inducing a dominant frequency for negative bias values and a broad band frequency spectrum for positive bias values. For negative biased plasma discharges, the transport is high where the waves propagate with phase velocities near the plasma flow velocity, an indication that the transport is strongly affected by a wave particle resonant interaction. On the other hand, for positive bias the plasma has a reversed shear flow and we observe that the transport is almost zero in the shearless radial region, an evidence of a transport barrier in this region.Comment: 8 pages, 11 figure

Quantifying Biases in Online Information Exposure

Our consumption of online information is mediated by filtering, ranking, and recommendation algorithms that introduce unintentional biases as they attempt to deliver relevant and engaging content. It has been suggested that our reliance on online technologies such as search engines and social media may limit exposure to diverse points of view and make us vulnerable to manipulation by disinformation. In this paper, we mine a massive dataset of Web traffic to quantify two kinds of bias: (i) homogeneity bias, which is the tendency to consume content from a narrow set of information sources, and (ii) popularity bias, which is the selective exposure to content from top sites. Our analysis reveals different bias levels across several widely used Web platforms. Search exposes users to a diverse set of sources, while social media traffic tends to exhibit high popularity and homogeneity bias. When we focus our analysis on traffic to news sites, we find higher levels of popularity bias, with smaller differences across applications. Overall, our results quantify the extent to which our choices of online systems confine us inside "social bubbles."Comment: 25 pages, 10 figures, to appear in the Journal of the Association for Information Science and Technology (JASIST

How to Solve AI Bias

© 2020 The Author(s). This an open access work distributed under the terms of the Creative Commons Attribution Licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.Bias in AI is a topic that impacts machine learning and artificial intelligence technology that learns from datasets and its training data. While gender discrimination and chatbots showing bias have recently caught people’s attention and imagination, the overall area of how to correct and manage bias is in its infancy for business use. Further, little is known about how to solve bias in AI and how there could potent for malicious misuse at large scale. We explore this area and propose solutions to this problem.Non peer reviewe

Induced Technical Change in Centrally Planned Economies

It has generally been assumed that the inferences of the induced technical change model with respect to the direction of technical change could not be expected to hold for the centrally planned economies. In this paper we test three hypotheses generated from the induced technical change hypotheses against the experience of centrally planned economies: (a) if land becomes increasingly scarce new technology will be biased in a land-saving direction; (b) if labor becomes increasingly scarce new technology will be biased in a laborsaving direction; and (c) changes in the land-labor ratio have been induced by changes in relative factor endowments. The results suggest a bias toward mechanical and against biological technology regardless of factor endowments. This is consistent with the well known ideological or policy bias in a number of centrally planned economies toward a capital intensive development strategy.Research and Development/Tech Change/Emerging Technologies,