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Boss Ex Machina: Mapping and Understanding the Technological Transformation of Managerial Prerogatives in Workplaces Driven by Machines, Artificial Intelligence and Algorithms

Project information

Grant agreement ID: 893888

Status

Grant agreement signed

  • Start date

    1 September 2020

  • End date

    31 August 2022

Funded under:

H2020-EU.1.3.2.

  • Overall budget:

    € 160 932,48

  • EU contribution

    € 160 932,48

Coordinated by:

IE UNIVERSIDAD

Spain

Objective

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.

Coordinator

IE UNIVERSIDAD

Address

Calle Cardenal Zuniga 12
40003 Segovia

Spain

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 160 932,48

Project information

Grant agreement ID: 893888

Status

Grant agreement signed

  • Start date

    1 September 2020

  • End date

    31 August 2022

Funded under:

H2020-EU.1.3.2.

  • Overall budget:

    € 160 932,48

  • EU contribution

    € 160 932,48

Coordinated by:

IE UNIVERSIDAD

Spain