Authoritarian neoliberal governance of industrial relations is on the rise around the world, displaying remarkable similarities across countries with similar democratic political structures. However, despite a certain degree of resemblance, countries have been following divergent paths rendering each case unique in terms of its experience. This article explains the specific path through which authoritarian neoliberalism was materialised in the governance of Turkey's industrial relations under AKP rule. It is purported that AKP's pursuit of authoritarian neoliberalism in its governance of industrial relations shares certain similarities with the emerging market economies, which have a less democratic political system. However, it is contended that the governance of Turkey's industrial relations under AKP leadership embodies spatially and temporally distinct characteristics integrating long‐established authoritarian institutional structures and practices with neoliberal ideology, powerful political alliances, Islamic values, repressive practices and mounting resistance, thus rendering it a unique form of authoritarian neoliberalism.
This article discusses the risks that artificial intelligence (AI) poses for work. It classifies risks into two types, direct and indirect. Direct risks are AI-induced forms of discrimination, surveillance and information asymmetries at work. Indirect risks are enhanced workplace automation and the increasing ‘fissurisation’ of work. Direct and indirect risks are illustrated using the example of the transport and logistics sector. We discuss policy responses to both types of risk in the context of the German economy and argue that the policy solutions need to differ according to the type of risk. Direct risks can be addressed by European and national regulation against discrimination, surveillance and information asymmetries. As for indirect risks, the first step is to monitor the risks so as to gain an understanding of sector-specific transformations and establish relevant expertise and competence. This way of addressing AI-induced risks at work will help to improve the prospects of decent work, fair remuneration and adequate social protection for all.
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