The impact of artificial intelligence and digital transformation on employment relations
Digital and artificial intelligence technologies are increasingly used both by employers, for selecting, organising, monitoring and evaluating employees, and by employees themselves in carrying out their work. The research therefore pursues a twofold aim. The first concerns the risks connected with the use of algorithmic management tools in the exercise of employers’ prerogatives, with reference, for instance, to privacy, monitoring and discrimination. The second concerns the effects that the introduction of Digital and AI technologies has on workers’ skills, on the resulting need for protection in terms of training and reskilling, and on the necessary revision of job classification systems. The research will focus specifically on the banking sector (and the relevant collective bargaining framework), which is particularly affected by the growing use of digital and AI technologies in human resource management and in the performance of work.
Selection process
Per Titoli e Colloquio. Il calendario dei colloqui viene pubblicato sull'Albo d'Ateneo ( https://webapps.unito.it/albo_ateneo/ ) e sul Portale di Ateneo ( https://lavorainateneo.unito.it/index_ir.html?type=SEL_IDR ). I candidati NON riceveranno comunicazione di ammissione al colloquio. La pubblicazione del calendario all'Albo Ufficiale dell'Ateneo equivale a notifica ai sensi di legge per la convocazione al colloquio. La domanda deve essere presentata tramite la procedura online https://pica.cineca.it/unito/cle-2026-iv - per informazioni: incarichiricerca@unito.it
Mandatory requirement for admission to the selection: italian Laurea Magistrale, or Laurea a Ciclo Unico, or an equivalent degree from foreign Universities, obtained no more than 6 years prior to the application deadline (i.e obtained after 13/10/2020). The Call for Applications (published on the University Bulletin Board under ref. no. 4686 of 21/09/2026), containing the procedures to participate in the selection process and the specific requirements for each selection, is available at https://webapps.unito.it/albo_ateneo/ .