Boss Ex Machina
Financiado
Boss Ex Machina Mapping and Understanding the Technological Transformation of M...
Boss Ex Machina Mapping and Understanding the Technological Transformation of Managerial Prerogatives in Workplaces Driven by Machines Artificial Intelligence and Algorithms
Machines, artificial intelligence (AI) and algorithms are reshaping work and power relationships in a large number of fields, with far-reaching societal and legal consequences. For instance, workers can receive instructions throug...
Machines, artificial intelligence (AI) and algorithms are reshaping work and power relationships in a large number of fields, with far-reaching societal and legal consequences. For instance, workers can receive instructions through a digital app, be tracked by a wristband collecting sensitive information, while employers can take screenshots on a smartphone and use metrics and customer reviews to set variable remuneration. Today, cyber-physical devices make it possible to implement new practices of organizing, executing, monitoring and evaluating employees’ performance – in each and every industry. These tools determine a genetic mutation of prerogatives legitimately exercised by bosses. While such technologies have the potential to create a flexible environment for workers and managers, they can also strengthen authoritative tendencies. This study will map new boss ex machina practices, evaluate their legal compliance, and assess the resilience of the existing normative framework at the EU level.
This work will be qualitative in nature and adopt an innovative and pragmatic approach, by reviewing concrete examples where these modern practices have been implemented. I will collect a number of cases showing how the tech industry, social partners and policy-makers are addressing this phenomenon; then, I will consider the impact of new technologies of digitized management on contractual templates, labour regulation and social institutions. Finally, I will examine if and how the legal framework can accommodate these models without stifling innovation. The resulting theory will serve as a timely regulatory fitness and performance study to evaluate policy interventions recently put forward or implemented by several governments and institutions. This project aligns with the European Commission approach to AI and robotics, and the multiple initiatives taken by EU institutions in the context of the Pillar of Social Rights aimed at building a sustainable future of work.
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Duración del proyecto: 28 meses
Fecha Inicio: 2020-04-21
Fecha Fin: 2022-08-31
Fecha Fin: 2022-08-31
Línea de financiación: concedida
El organismo H2020 notifico la concesión del proyecto el día 2022-08-31
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
MSCA-IF-2019:
Individual Fellowships
Cerrada
hace 5 años
Presupuesto
El presupuesto total del proyecto asciende a
161K€
Líder del proyecto
IE UNIVERSIDAD
No se ha especificado una descripción o un objeto social para esta compañía.
Sin perfil tecnológico calculado
Sin perfil tecnológico calculado