Bearing account-able witness to the ethical algorithmic system

This paper explores how accountability might make otherwise obscure and inaccessible algorithms available for governance. The potential import and difficulty of accountability is made clear in the compelling narrative reproduced across recent popular and academic reports. Through this narrative we are told that algorithms trap us and control our lives, undermine our privacy, have power and an independent agential impact, at the same time as being inaccessible, reducing our opportunities for critical engagement. The paper suggests that STS sensibilities can provide a basis for scrutinizing the terms of the compelling narrative, disturbing the notion that algorithms have a single, essential characteristic and a predictable power or agency. In place of taking for granted the terms of the compelling narrative, ethnomethodological work on sense-making accounts is drawn together with more conventional approaches to accountability focused on openness and transparency. The paper uses empirical material from a study of the development of an “ethical,” “smart” algorithmic videosurveillance system. The paper introduces the “ethical” algorithmic surveillance system, the approach to accountability developed, and some of the challenges of attempting algorithmic accountability in action. The paper concludes with reflections on future questions of algorithms and accountability

A visit to Biotopia: genre, genetics and gardening in the early twentieth century

The early decades of the twentieth century were marked by widespread optimism about biology and its ability to improve the world. A major catalyst for this enthusiasm was new theories about inheritance and evolution (particularly Hugo de Vries's mutation theory and Mendel's newly rediscovered ideas). In Britain and the USA particularly, an astonishingly diverse variety of writers (from elite scientists to journalists and writers of fiction) took up the task of interpreting these new biological ideas, using a wide range of genres to help their fellow citizens make sense of biology's promise. From these miscellaneous writings a new and distinctive kind of utopianism emerged – the biotopia. Biotopias offered the dream of a perfect, post-natural world, or the nightmare of violated nature (often in the same text), but above all they conveyed a sense that biology was – for the first time – offering humanity unprecedented control over life. Biotopias often visualized the world as a garden perfected for human use, but this vision was tinged with gendered violence, as it became clear that realizing it entailed dispossessing, or even killing, ‘Mother Nature’. Biotopian themes are apparent in journalism, scientific reports and even textbooks, and these non-fiction sources shared many characteristics with intentionally prophetic or utopian fictions. Biotopian themes can be traced back and forth across the porous boundaries between popular and elite writing, showing how biology came to function as public culture. This analysis reveals not only how the historical significance of science is invariably determined outside the scientific world, but also that the ways in which biology was debated during this period continue to characterize today's debates over new biological breakthroughs

Emerging Role of Translational Digital Biomarkers Within Home Cage Monitoring Technologies in Preclinical Drug Discovery and Development

In drug discovery and development, traditional assessment of human patients and preclinical subjects occurs at limited time points in potentially stressful surroundings (i.e., the clinic or a test arena), which can impact data quality and welfare. However, recent advances in remote digital monitoring technologies enable the assessment of human patients and preclinical subjects across multiple time points in familiar surroundings. The ability to monitor a patient throughout disease progression provides an opportunity for more relevant and efficient diagnosis as well as improved assessment of drug efficacy and safety. In preclinical in vivo animal models, these digital technologies allow for continuous, longitudinal, and non-invasive monitoring in the home environment. This manuscript provides an overview of digital monitoring technologies for use in preclinical studies including their history and evolution, current engagement through use cases, and impact of digital biomarkers (DBs) on drug discovery and the 3Rs. We also discuss barriers to implementation and strategies to overcome them. Finally, we address data consistency and technology standards from the perspective of technology providers, end-users, and subject matter experts. Overall, this review establishes an improved understanding of the value and implementation of digital biomarker (DB) technologies in preclinical research