Business and/or Ethics? A Framework for Resolving Multicriteria Decision Dilemmas

Corporate leadership is often in the unenviable position of balancing ethical choices and profit. Business decisions consider alternatives and make choices to further strategic business goals. Measures of business success are likely to be financial, including profit, revenue, sales, market share, cost of production, quality of products, innovative product development. Ethical decisions are choices among right and wrong outcomes or processes. Assessment of ethical choices may or may not be easily quantified, including consideration of positive and negative consequences, moral principles, and fair process. Inevitably, then, the inherent nature of business-ethics decisions will involve multiple decision criteria, including both business criteria and ethics criteria. These criteria may conflict, creating dilemmas that may be difficult to resolve. Sometimes ethical business decisions will be profitable, sometimes ethical business decisions will be more costly than less ethical alternatives and therefore be less profitable. Multicriteria analysis tools are designed for such decision dilemmas, yet responsibility inheres to the people who must choose. Conclusions are drawn for individual, corporate, and algorithmic decisions. Decision processes should answer these questions: Are units of measure comparable? Is the system open or closed? Is it deterministic or stochastic? Is there a risk to life? Who is responsible? Is the decision process transparent? Who cares about the outcome? What are their criteria for successful consequences? What ethical principles apply

Privacy Ethics in Biblical Literature

This paper combines modern legal scholars\u27 and biblical literature\u27s treatment of a right to privacy. Beginning with a reassessment of Warren & Brandeis\u27 right to be let alone as the first legal treatment of a right to privacy, the authors explore the right to privacy’s roots in ancient ethical standards. This is done via a study of privacy as it is treated in biblical literature. What emerge are two themes that are central to ethical decision-making with regard to privacy. The first is that breaches of privacy are irreversible, an idea that is informative as to why privacy is valued so highly. The second addresses the decision dilemmas that arise when privacy and its underlying values conflict with other rights and values. These dilemmas confront business executives, technology developers and engineers, government agents, press and media managers, and others who need to decide how to protect privacy in situations not yet covered by existing privacy laws. These front-line decision makers must make judgments based on pre-existing ethical precepts and traditions because often privacy laws lag behind the problems they are written to address

Phenotypic Variation and Bistable Switching in Bacteria

Microbial research generally focuses on clonal populations. However, bacterial cells with identical genotypes frequently display different phenotypes under identical conditions. This microbial cell individuality is receiving increasing attention in the literature because of its impact on cellular differentiation, survival under selective conditions, and the interaction of pathogens with their hosts. It is becoming clear that stochasticity in gene expression in conjunction with the architecture of the gene network that underlies the cellular processes can generate phenotypic variation. An important regulatory mechanism is the so-called positive feedback, in which a system reinforces its own response, for instance by stimulating the production of an activator. Bistability is an interesting and relevant phenomenon, in which two distinct subpopulations of cells showing discrete levels of gene expression coexist in a single culture. In this chapter, we address techniques and approaches used to establish phenotypic variation, and relate three well-characterized examples of bistability to the molecular mechanisms that govern these processes, with a focus on positive feedback.

Genetic correlation between amyotrophic lateral sclerosis and schizophrenia

A. Palotie on työryhmän Schizophrenia Working Grp Psychiat jäsen.We have previously shown higher-than-expected rates of schizophrenia in relatives of patients with amyotrophic lateral sclerosis (ALS), suggesting an aetiological relationship between the diseases. Here, we investigate the genetic relationship between ALS and schizophrenia using genome-wide association study data from over 100,000 unique individuals. Using linkage disequilibrium score regression, we estimate the genetic correlation between ALS and schizophrenia to be 14.3% (7.05-21.6; P = 1 x 10(-4)) with schizophrenia polygenic risk scores explaining up to 0.12% of the variance in ALS (P = 8.4 x 10(-7)). A modest increase in comorbidity of ALS and schizophrenia is expected given these findings (odds ratio 1.08-1.26) but this would require very large studies to observe epidemiologically. We identify five potential novel ALS-associated loci using conditional false discovery rate analysis. It is likely that shared neurobiological mechanisms between these two disorders will engender novel hypotheses in future preclinical and clinical studies.Peer reviewe

Codes of Ethics: Extending Classification Techniques with Natural Language Processing

Language is an indicator of how stakeholders view an ethics code’s intent, and key to distinguishing code properties, such as promoting ethical-valued decision-making or code-based compliance. This article quantifies ethics codes’ language using Natural Language Processing (NLP), then uses machine learning to classify ethics codes. NLP overcomes some inherent difficulties of “measuring” verbal documents. Ethics codes selected from lists of “best” companies were compared with codes from a sample of Fortune 500 companies. Results show that some of these ethics codes are different enough from the norm to be distinguished by an algorithm; indicating as well that lists of “best” companies differ meaningfully from each other. Results suggest that NLP models hold promise as measurement tools for text research of corporate documents, with the potential to contribute to our understanding of the impact of language on corporate culture and enhance our understanding of relationships with corporate performance