Professional Judgment in an Era of Artificial Intelligence and Machine Learning

Though artificial intelligence (AI) in healthcare and education now accomplishes diverse tasks, there are two features that tend to unite the information processing behind efforts to substitute it for professionals in these fields: reductionism and functionalism. True believers in substitutive automation tend to model work in human services by reducing the professional role to a set of behaviors initiated by some stimulus, which are intended to accomplish some predetermined goal, or maximize some measure of well-being. However, true professional judgment hinges on a way of knowing the world that is at odds with the epistemology of substitutive automation. Instead of reductionism, an encompassing holism is a hallmark of professional practice—an ability to integrate facts and values, the demands of the particular case and prerogatives of society, and the delicate balance between mission and margin. Any presently plausible vision of substituting AI for education and health-care professionals would necessitate a corrosive reductionism. The only way these sectors can progress is to maintain, at their core, autonomous professionals capable of carefully intermediating between technology and the patients it would help treat, or the students it would help learn

The Managed Service Paradox

This paper examines the contrasts in the provision of managed service in the information and communication technology (ICT) sector. It highlights the polarization between infrastructure services that are growing in scale and increasingly becoming a commoditized, and customized or even one-of-a-kind service projects. The paper refers to the approaches taken by three highly innovative advanced service companies, IBM, Ericsson, and Cable & Wireless, to package and deliver ICT service on a more industrialized basis. The authors identify the six-stage process that describes these companies’ journeys to date from. They explore the challenges these companies faced on that journey as well those currently facing them as they move to a higher degree of industrialization. To address these challenges, the authors propose a model with three axes: offering development, service delivery, and go to market. The model demonstrates how the increasing industrialization of managed service requires an approach integrating all three of these dimensions. They also show that strong governance is required to address the impacts of technological evolution, marketplace dynamics, and corporate culture. The paper has formed the basis of the academic and executive education programs taught at both Imperial College and is the heart of the new service design masters program at the Royal College of Art. Because of its relevance to large industrial companies seeking to transition from an industrial offering to a service or solution led offering, the paper has been turned into a course that has been delivered to Arup, Vodafone, Finmeccanica, Telefonica, Samsung and Laing O’Rourke to date and this programme has been delivered by the authors in Korea, Taiwan, US and the UK

Wireless industrial monitoring and control networks: the journey so far and the road ahead

While traditional wired communication technologies have played a crucial role in industrial monitoring and control networks over the past few decades, they are increasingly proving to be inadequate to meet the highly dynamic and stringent demands of today’s industrial applications, primarily due to the very rigid nature of wired infrastructures. Wireless technology, however, through its increased pervasiveness, has the potential to revolutionize the industry, not only by mitigating the problems faced by wired solutions, but also by introducing a completely new class of applications. While present day wireless technologies made some preliminary inroads in the monitoring domain, they still have severe limitations especially when real-time, reliable distributed control operations are concerned. This article provides the reader with an overview of existing wireless technologies commonly used in the monitoring and control industry. It highlights the pros and cons of each technology and assesses the degree to which each technology is able to meet the stringent demands of industrial monitoring and control networks. Additionally, it summarizes mechanisms proposed by academia, especially serving critical applications by addressing the real-time and reliability requirements of industrial process automation. The article also describes certain key research problems from the physical layer communication for sensor networks and the wireless networking perspective that have yet to be addressed to allow the successful use of wireless technologies in industrial monitoring and control networks

A Framework for Integrating Transportation Into Smart Cities

In recent years, economic, environmental, and political forces have quickly given rise to “Smart Cities” -- an array of strategies that can transform transportation in cities. Using a multi-method approach to research and develop a framework for smart cities, this study provides a framework that can be employed to: Understand what a smart city is and how to replicate smart city successes; The role of pilot projects, metrics, and evaluations to test, implement, and replicate strategies; and Understand the role of shared micromobility, big data, and other key issues impacting communities. This research provides recommendations for policy and professional practice as it relates to integrating transportation into smart cities