Using automated systems to avoid the need for human discretion in government contexts – a scenario we call ‘rule by automation’ – can help us achieve the ideal of a free and equal society. Drawing on relational theories of freedom and equality, we explain how rule by automation is a more complete realization of the rule of law and why thinkers in these traditions have strong reasons to support it. Relational theories are based on the absence of human domination and (...) hierarchy, which automation helps us achieve. Nevertheless, there is another understanding of relational theories where what matters is the presence of valuable relationships with those in power. Exploring this further might help us see when and why we should accept human discretion. (shrink)

In “Neutrality and Perfectionism in Public Health,” Hafez Ismaili M’hamdi poses a dilemma for defenders of “state neutrality” about political justification: either they must reject a wide ra...

Volume 20, Issue 5, June 2020, Page 80-81.

Since John Rawls, public reason theorists have attempted to show how liberal political norms could be acceptable to people with diverse religious and ethical viewpoints. However, these theories overlook the importance of the distinction between acceptability to realistic people and acceptability to viewpoints, which matters because public reason theories are committed to the former, but only deliver the latter, thereby failing to justify liberal norms. Public reason theories therefore face a dilemma: abandon realistic people and lose normative appeal, or retain (...) realism and find a new way to justify liberalism. (shrink)

In the beginning of the COVID pandemic, researchers and bioethicists called for human challenge trials to hasten the development of a vaccine for COVID. However, the fact that we lacked a specific, highly effective treatment for COVID led many to argue that a COVID challenge trial would be unethical and we ought to pursue traditional phase III testing instead. These ethical objections to challenge trials may have slowed the progress of a COVID vaccine, so it is important to evaluate their (...) merit. One common way of doing so is to make an analogy to other social practices that are relevantly similar and which we currently sanction. We submit that non-directed live organ donation (NDLOD) is a promising analogy. After arguing that the risks to volunteers for each activity appear similar, we explore potential disanalogies that would undermine the comparison. We note that there are differences in both the kind and certainty of benefit secured by NDLOD compared to challenge trials. We conclude these differences are insufficient to make NDLOD permissible and challenge trials impermissible. Ultimately, if we think the risks associated with NDLOD are ethically permissible, then we should think the same of the risks associated with COVID challenge trials. (shrink)

Journal of Social Philosophy, EarlyView.

Concern for corporate influence on democratic decisions has mostly focused on campaign funding and access to legislators. While these are certainly worrisome, corporations have another tool to influence decisions, which they are increasingly using. They can threaten to move their operations or cancel expansion plans in a municipality unless its public officials pass (or kill) certain policies. In one sense, this is business as usual. Companies have the right to decide where to operate, and it is important for officials to (...) consider how policy will impact local businesses that provide jobs and tax revenue. On the other hand, companies can use these threats to get their way on any policy, whether or not it impacts them. How do we tell when this kind of corporate action is illegitimate? We argue that such actions are illegitimate when they violate democratic norms of reason-giving, which occurs when companies offer the public “created” rather than “natural” reasons for their proposed policy. (shrink)

The “expressivist objection” argues that prenatal screening leading to termination of embryos or fetuses with disabilities sends a harmful message to people with disabilities, such as the message that their lives are not worth living. I first argue that whether it sends such a message depends on how a reasonable person would see the motives behind the screening. I then argue that a reasonable person would see a harmful message, not when individuals terminate embryos, and not for severe disabilities, but (...) when the state allows the screening and termination of embryos with less severe conditions, such as Down syndrome. This sends the message that it is permissible not to pay a higher cost to support people with disabilities, when there is an abled alternative. This attitude is harmful to the welfare, rights and self-worth of people with disabilities because it reinforces the refusal to provide them with equal opportunity. The state therefore has a strong pro tanto reason to ban prenatal screening for less severe disabilities. (shrink)

Hastings Center Report, Volume 52, Issue 5, Page inside_front_cover-inside_front_cover, September–October 2022.

. This paper illustrates the applications of various ensemble methods for enhanced classification accuracy. The case in point is the Pima Indian Diabetic Dataset. The computational model comprises of two stages. In the first stage, k-means clustering is employed to identify and eliminate wrongly classified instances. In the second stage, a fine tuning in the classification was effected. To do this, ensemble methods such as AdaBoost, bagging, dagging, stacking, decorate, rotation forest, random subspace, MultiBoost and grading were invoked along with (...) five chosen base classifiers, namely support vector machine, radial basis function network, decision tree J48, naïve Bayes and Bayesian network. The k-fold cross validation technique is adopted. Computational experiments with the proposed method showed an improvement of 16.14% to 22.49% in the classification accuracy compared to literature survey. Among the ensemble methods tried, MultiBoost ensemble with SVM classifier and grading ensemble with naïve Bayes showed the best performance followed by MultiBoost, stacking and grading ensemble with Bayesian classifier, rotation forest ensemble with RBF and grading and rotation forest ensemble with J48. This investigation conclusively proves the significance of cascading k-means clustering with ensemble methods in the enhanced accuracy in categorization of diabetic dataset. (shrink)

. Prediction of crop yield is significant in order to accurately meet market requirements and proper administration of agricultural activities directed towards enhancement in yield. Several parameters such as weather, pests, biophysical and physio morphological features merit their consideration while determining the yield. However, these parameters are uncertain in their nature, thus making the determined amount of yield to be approximate. It is exactly here that the fuzzy logic comes into play. This paper elaborates an attempt to develop fuzzy inference (...) systems for crop yield prediction. Physio morphological features of Sorghum were considered. A huge database of physio morphological features such as days of 50 percent flowering, dead heart percentage, plant height, panicle length, panicle weight and number of primaries and the corresponding yield were considered for the development of the model. In order to find out the sensitivity of parameters, one-to-one, two-to-one and three-to-one combinations of input and output were considered. The results have clearly shown that panicle length contributes for the yield as the lone parameter with almost one-to-one matching between predicted yield and actual value while panicle length and panicle weight in combination seemed to play a decisive role in contributing for the yield with the prediction accuracy reflected by very low RMS value. (shrink)

A natural heme deficiency that exists in cells outside of the circulation broadly compromises the heme contents and functions of heme proteins in cells and tissues. Recently, we found that the signaling molecule, nitric oxide (NO), can trigger or repress the deployment of intracellular heme in a concentration‐dependent hormetic manner. This uncovers a new role for NO and sets the stage for it to shape numerous biological processes by controlling heme deployment and consequent heme protein functions in biology.

The objective of this work is to categorize the available fly ashes in different parts of the world into distinct groups based on its compositional attributes. Kohonen's self-organizing feature map and radial basis function networks are applied in a cascading fashion for the classification of fly ashes in terms of its chemical parameters. The basic procedure of the methodology consists of three stages: apply self-organizing neural net to ascertain possible number of groups, delineate them and identify the group sensitive attributes; (...) find mean values of sensitive attributes of the elicited groups and augment them as start-up prototypes in k-means algorithm and find the refined centroids of these groups; incorporate the centroids in a two layer radial basis function network and fine-tune the delineated groups and develop an indexing equation using the weights of the stabilized network. Further, to demonstrate the utility of this classification scheme, the so formed groups were correlated with their performance in High Volume Fly Ash Concrete System [HVFAC]. The categorization was found to be excellent and compares well with Canadian Standard Association's [CSA A 3000] classification scheme. (shrink)