ManaGPT-1020: An LLM Generating Insights into “Posthumanized” Organizations

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ManaGPT-1020 • March 23, 2023

SUMMARY: ManaGPT-1020 is a free, open-source model available for download and use via Hugging Face’s “transformers” Python package. The model is a 1.5-billion-parameter LLM that’s capable of generating text in order to complete a sentence whose first words have been provided via a user-supplied input sequence. The model represents an elaboration of GPT-2 that has been fine-tuned (using Python and TensorFlow) on a specialized English-language corpus of over 509,000 words from the domain of organizational futures studies. In particular, the model has been trained to generate analysis, predictions, and recommendations regarding the emerging role of advanced AI, social robotics, ubiquitous computing, virtual reality, neurocybernetic augmentation, and other “posthumanizing” technologies in organizational life.

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A Better Way of Forecasting Employees’ Performance: Evaluating the use of composite ceiling-floor models for predicting the likely range of workers’ future job performance

A joint range model created with Comport_AI

Medium.com • March 12, 2023

SUMMARY: This text is Part 3 of a three-article series on “Advanced modelling of workers’ future performance ranges through ANNs with custom loss functions.” It demonstrates how custom ceiling and floor models can be combined to create a composite prediction interval that can outperform simpler models based on MAE or SD in forecasting the probable range of workers’ future job performance.

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Optimize Your Performance Intervals! Use ANNs with custom loss functions to predict probable ceilings and floors for workers’ future job performance

A ceiling model created with Comport_AI

Medium.com • March 12, 2023

SUMMARY: This text is Part 2 of a three-article series on “Advanced modelling of workers’ future performance ranges through ANNs with custom loss functions.” It investigates the mechanics of independently modelling the likely ceiling and floor of the range of a worker’s probable future job performance using separate artificial neural networks with custom loss functions.

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One Number Is Rarely Enough: Why prediction intervals are critical (and challenging!) for HR predictive analytics

A joint range model created with Comport_AI

Medium.com • March 12, 2023

SUMMARY: This text is Part 1 of a three-article series on “Advanced modelling of workers’ future performance ranges through ANNs with custom loss functions.” It explores why it’s useful to predict the probable ceiling and floor for an employee’s future performance – and why it’s difficult to do so effectively, using conventional methods based on mean absolute error or standard deviation.

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Society 5.0: The Human-Centered “Super Smart Society” in Theory and Practice (LinkedIn Group)

Society 5.0 LinkedIn group logo

The LinkedIn group on “Society 5.0: The Human-Centered ‘Super Smart Society’ in Theory and Practice” was created to facilitate conversation and networking among thought leaders in this area. More information about the group is presented below. If you would enjoy participating in the group, please visit its LinkedIn page and click the button that says “Request to join.” We welcome you to join the conversation! Description of the group The group provides a platform for networking…

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Novel Forms of ‘Magical’ Human-Computer Interaction Within the Cyber-Physical Smart Workplace: Implications for Usability and User Experience

International Journal of Research Studies in Management (2019)

ABSTRACT: The growing use of advanced AI, ambient intelligence, augmented reality (AR), and virtual reality (VR) technologies of the sort found within the emerging cyber-physical smart workplace has been described as enabling new forms of human-computer interaction (HCI) that are “magical” in nature. This study shows that from an anthropological perspective, such a workplace environment can indeed be understood as “magical”; however, that “magicality” is a double-edged sword that can potentially both enhance and damage user experience (UX) for workers and other occupants of such environments. First, by analyzing existing social anthropological and philosophical anthropological accounts of magic, typical elements of magical practice are identified. Using Nielsen’s empirical analysis of HCI usability heuristics as a basis, a prospective heuristic evaluation is then carried out for the usability of a generic “magical” environment, in order to identify elements of magical practice that might be expected to enhance or impair user experience when they are required for interaction with the environment. A more specific heuristic usability evaluation is then performed for the “magical” aspects of HCI created by two kinds of constituent technologies that are typical for a cyber-physical smart workplace: those of (a) ambient intelligence and IoT-enabled systems and (b) AR and VR systems. It is shown that the magical aspects of HCI within the emerging cyber-physical smart workplace differ significantly in their potential UX impacts from the magicality involved with earlier forms of computing, and the implications of this fact for the management of future workplaces are identified and discussed.

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Megacorp: From Cyberdystopian Vision to Technoeconomic Reality

Megacorp (front cover)

ISBN 978-1-944373-30-6 • Defragmenter Media, 2019 • 322 pages

The image of the “megacorp” – the ruthless, sinister, high-tech global conglomerate that’s grown so large and powerful that it has acquired the characteristics of a sovereign state – is one of the iconic elements of cyberpunk fiction. Such a megacorp maintains its own army, creates its own laws and currency, grants citizenship to employees and customers, and governs vast swaths of cyberspace and the physical world. If it allows traditional governments to survive in some vestigial form, it’s only so they can handle those mundane tasks that the megacorp doesn’t want to deal with itself. By these standards, contemporary companies like Amazon, Apple, Facebook, Google, Microsoft, ExxonMobil, and Walmart aren’t (yet) “megacorps”; they’re the playthings that megacorps gobble up to use for spare parts.

This volume develops a comprehensive intellectual history of the megacorp. It locates forebears of the cyberpunk megacorp not only in earlier fictional works like Čapek’s R.U.R. (1921) and Von Harbou’s Metropolis (1925) but in a string of real-world organizations ranging from the 17th-Century British and Dutch East India Companies to the Pullman Palace Car Company, the Ford Motor Company, and late 20th-Century Japanese keiretsu and South Korean chaebol – as well as in the nearly indestructible oligopolistic “megacorp” described in the pioneering theory of American economist Alfred Eichner.

By investigating the nature of the cyberpunk megacorp as a political entity, commercial entity, producer and exploiter of futuristic technologies, and generator or manipulator of culture, differences are highlighted between the megacorps of “classical” cyberpunk and post-cyberpunk fiction. Classical cyberpunk megacorps – portrayed in novels like Gibson’s Sprawl trilogy, films like RoboCop and Johnny Mnemonic, and games like Cyberpunk, Cyberspace, and Syndicate – are often ostentatiously malevolent and obsessed with short-term financial profits to the exclusion of all else; the over-the-top depictions of such companies serve a dramatic purpose and are not offered by their authors as serious futurological studies. On the other hand, the more nuanced and philosophically rich portrayals of megacorps in post-cyberpunk works like Shirow’s manga The Ghost in the Shell reveal companies that are less overtly evil, possess a broader and more plausible range of long-term strategic goals, and coexist alongside conventional governments in a state of (begrudging) mutual respect. Yet other works like the game Shadowrun depict companies that combine elements of both classical cyberpunk and post-cyberpunk megacorps.

Drawing on such analyses, the volume concludes by exploring how the idea of the post-cyberpunk megacorp anticipated a new type of real-world megacorp – the unfathomably large, fast, and complex “rhizocorp” – that’s now being made possible through ongoing revolutions in the exploitation of robotics, AI, and the Internet of Things – and which threatens to become the dominant economic, political, and sociocultural power of our technologically posthumanized future world.

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Who Will Be the Members of Society 5.0? Towards an Anthropology of Technologically Posthumanized Future Societies

Toward Society 5.0: The Dynamics of Posthumanization

Social Sciences 8, no. 5 (2019)

ABSTRACT: The Japanese Government’s “Society 5.0” initiative aims to create a cyber-physical society in which (among other things) citizens’ daily lives will be enhanced through increasingly close collaboration with artificially intelligent systems. However, an apparent paradox lies at the heart of efforts to create a more “human-centered” society in which human beings will live alongside a proliferating array of increasingly autonomous social robots and embodied AI. This study seeks to investigate the presumed human-centeredness of Society 5.0 by comparing its makeup with that of earlier societies. By distinguishing “technological” and “non-technological” processes of posthumanization and applying a phenomenological anthropological model, the study demonstrates: (1) how the diverse types of human and non-human members expected to participate in Society 5.0 differ qualitatively from one another; (2) how the dynamics that will shape the membership of Society 5.0 can be conceptualized; and (3) how the anticipated membership of Society 5.0 differs from that of Societies 1.0 through 4.0. The study describes six categories of prospective human and non-human members of Society 5.0 and shows that all six have analogues in earlier societies – which suggests that social scientific analysis of past societies may shed unexpected light on the nature of Society 5.0.

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Understanding the Cyber-Physical-Social-Intentional ‘Workforce 4.0’: Conceptual Foundations, Architecture, and Context

Workforce 4.0 as a Cyber-Physical-Social-Intentional System

the VIII Scientific Conference on Modern Concepts and Management Methods: Management 4.0 – Modern Trends in Public, Social and Business Sector • Military University of Technology in Warsaw • December 6, 2018

ABSTRACT: The widespread application of Industry 4.0 technologies relating to social robotics, embodied AI, the Internet of Things (IoT), ubiquitous computing, and advanced human computer interfaces is giving rise to a growing range of “cyber-physical” entities. By building on established definitions and analyses of the cyber-physical system, cyber-physical-social system, cyber-physical society, and cyber-physical-social-thinking space, this text formulates a conceptual framework for understanding the emerging “Workforce 4.0” as a specialized type of “cyber-physical-social-intentional system.” Attention is given to the heterogeneous agency, technological posthumanization, functional decentralization, and planned architectures or spontaneously self-organizing topologies manifested by Workforce 4.0. It is shown how such a workforce is situated within the context of cyber-physical space, a cyber-physical organization, cyber-physical ecosystems, a cyber-physical society, and the larger cyber-physical world.

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A Phenomenological Analysis of the Posthumanized Future Workplace

Impacts of Technological Posthumanization on Future Workplace Architecture

Kwartalnik Nauk o Przedsiębiorstwie 48 (2018), pp. 31-39; MNiSW 2016 List B: 12 points

ABSTRACT: Increasingly, organizations are becoming “technologically posthumanized” through the integration of social robots, AI, virtual reality, and ubiquitous computing into the workplace. Here a phenomenological approach is used to anticipate architectural transformations of the workplace resulting from posthumanization’s challenge to traditional anthropocentric paradigms of the workplace as a space that exists at “human” scale, possesses a trifold boundary, and serves as a spatiotemporal filter.

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Dynamics of Technological Posthumanization: Distinguishing the Anticipated Paths of Developed and Emerging Economies

Differing Paths to Technological Posthumanization

In ICTM 2018: Proceedings of the International Conference on ICT Management for Global Competitiveness and Economic Growth in Emerging Economies, edited by Jolanta Kowal, Anna Kuzio, Juho Mäkiö, Grażyna Paliwoda-Pękosz, and Piotr Soja • University of Wrocław, 2018

ABSTRACT: The processes of “posthumanization” can be understood as those dynamics by which a human organization or society comes to include members other than “natural” biological human beings who contribute to the structure, activities, or meaning of that organization or society. In the world of business, such posthumanization is commonly identified with the growing use of social robots, autonomous AI, and joint human-computer systems to perform work that in earlier eras would have been performed by human beings acting alone. Such “technological” posthumanization is often presented as a new phenomenon occurring largely in those developed economies that are pioneering Industry 4.0 paradigms (e.g., by expanding workplace automation) and that are uniquely positioned to harness such forces to drive economic growth. Here, however, we contend that such emphasis on the novelty of technological posthumanization overlooks forms of non-technological posthumanization that have been at work in human societies for millennia. Such dynamics of non-technological posthumanization have weakened significantly in many developed economies since the mid-20th century; however, they remain relatively strong in emerging economies. In this study, a conceptual framework is developed for identifying and comparing phenomena through which processes of technological or non-technological posthumanization manifest themselves in developed and emerging economies. It is argued that the ongoing and robust experience with non-technological posthumanization possessed by many of the world’s emerging economies may offer them unique and underappreciated psychological, social, and cultural mechanisms for integrating effectively into their enterprises, organizations, and institutions those novel forms of non-human agency that are at work in key Industry 4.0 technologies, like those relating to social robotics, autonomous AI, and advanced human-computer interfaces.

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Enterprise Meta-Architecture for Megacorps of Unmanageably Great Size, Speed, and Technological Complexity

Enterprise Meta Architecture for Megacorps

In Information Systems Architecture and Technology: Proceedings of 39th International Conference on Information Systems Architecture and Technology – ISAT 2018, Part III, edited by Zofia Wilimowska, Leszek Borzemski, and Jerzy Świątek • Springer International Publishing, 2018

ABSTRACT: The discipline of enterprise architecture (EA) provides valuable tools for aligning an organization’s business strategy and processes, IT strategy and systems, personnel structures, and organizational culture, with the goal of enhancing organizational agility, adaptability, and efficiency. However, the centralized and exhaustively detailed approach of conventional EA is susceptible to failure when employed in organizations demonstrating exceedingly great size, speed of operation and change, and IT complexity – a combination of traits that characterizes, for example, some emerging types of “technologized” oligopolistic megacorps reflecting the Industry 4.0 paradigm. This text develops the conceptual basis for a variant form of enterprise architecture that can be used to enact improved target architectures for organizations whose characteristics would otherwise render them “unmanageable” from the perspective of conventional EA. The proposed approach of “enterprise meta-architecture” (or EMA) disengages human enterprise architects from the fine-grained details of architectural analysis, design, and implementation, which are handled by artificially intelligent systems functioning as active agents rather than passive tools. The role of the human enterprise architect becomes one of determining the types of performance improvements a target architecture should ideally generate, establishing the operating parameters for an EMA system, and monitoring and optimizing its functioning. Advances in Big Data and parametric design provide models for enterprise meta-architecture, which is distinct from other new approaches like agile and adaptive EA. Deployment of EMA systems should become feasible as ongoing advances in AI result in an increasing share of organizational agency and decision-making responsibility being shifted to artificial agents.

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