In this article, we examine the conceptual importance of integrating risk and intersectionality theory for the study of how risk and various forms of inequality intersect and are mutually constitutive. We argue that an intersectional perspective can advance risk research by incorporating more effectively the role of such social categories as gender and race into the analysis of ‘risk’ as an empirical phenomenon. In doing so, the intersectional perspective articulates more clearly the connection between the social construction of risk and, on the one hand, the reproduction of new and complex social inequalities and, on the other, intersections of social class, gender, ethnicity and other social categorisations. We trace the intellectual division between risk and feminist-inspired intersectionality research, showing how these approaches can be aligned to study, for example, risk-based welfare and social policy. We use a discussion of general directions within welfare policy to illustrate how an intersectional perspective can be used to show the ways in which new governance strategies create new divisions and reproduce existing forms of social inequality. We conclude the article with a call for a new research agenda to integrate intersectional frameworks with risk theory in order to provide a more nuanced analysis of the relationship between social inequality and risk.Anna Olofsson, Jens O. Zinn, Gabriele Griffin, Katarina Giritli Nygren, Andreas Cebulla and Kelly Hannah-Moffa

Artificial Intelligence (AI) is taking centre stage in economic growth and business operations alike. Public discourse about the practical and ethical implications of AI has mainly focussed on the societal level. There is an emerging knowledge base on AI risks to human rights around data security and privacy concerns. A separate strand of work has highlighted the stresses of working in the gig economy. This prevailing focus on human rights and gig impacts has been at the expense of a closer look at how AI may be reshaping traditional workplace relations and, more specifically, workplace health and safety. To address this gap, we outline a conceptual model for developing an AI Work Health and Safety (WHS) Scorecard as a tool to assess and manage the potential risks and hazards to workers resulting from AI use in a workplace. A qualitative, practice-led research study of AI adopters was used to generate and test a novel list of potential AI risks to worker health and safety. Risks were identified after cross-referencing Australian AI Ethics Principles and Principles of Good Work Design with AI ideation, design and implementation stages captured by the AI Canvas, a framework otherwise used for assessing the commercial potential of AI to a business. The unique contribution of this research is the development of a novel matrix itemising currently known or anticipated risks to the WHS and ethical aspects at each AI adoption stage.

Globally, there is an urgent need for solutions that can support our aging populations to live well and reduce the associated economic, social and health burdens. Implementing smart technologies within homes and communities may assist people to live well and ‘age in place’. To date, there has been little consultation with older Australians addressing either the perceived benefits, or the potential social and ethical challenges associated with smart technology use. To address this, we conducted five World Cafés in two Australian states, aiming to capture citizen knowledge about the possibilities and challenges of smart technologies. The participants (n = 84) were aged 55 years and over, English-speaking, and living independently. Grounding our analysis in values-based social science and biomedical ethical principles, we identified the themes reflecting the participants’ understanding, resistance, and acceptance of smart technologies, and the ethical principles, including beneficence, non-maleficence, autonomy, privacy, confidentiality, and justice. Similar to other studies, many of the participants demonstrated cautious and conditional acceptance of smart technologies, while identifying concerns about social isolation, breaches of privacy and confidentiality, surveillance, and stigmatization. Attention to understanding and incorporating the values of older citizens will be important for the acceptance and effectiveness of smart technologies for supporting independent and full lives for older citizens.

Worldwide, active aging policy calls for greater participation of senior citizens in the social, economic, and political realms. Despite emerging evidence of initiatives engaging senior citizens in social activities, little is known about the use of participatory approaches in the design and/or implementation of policies that matter to older citizens. This article identifies initiatives facilitating the civic participation of older people in policy-making in European Union member and associate states, drawing on a review of the literature, consultation of national policy experts, and exemplary case studies. Four main patterns of senior civic participation are identified: adopting consultative or co-decisional participatory approaches in policy design or policy implementation. The four are represented to varying degrees at different geographical levels (national, regional, local), with different actor configurations (appointed, elected/nominated, corporate representation), and with varying degree of institutionalization (temporary/permanent). Case studies illustrate approaches taken to enhance the quality and effectiveness of public services for senior citizens. Future research should strengthen this line of enquiry to cast further light on conditions facilitating the civic participation of senior citizens.

Skilled migration is an important strategy in developed economies seeking to address skills shortages and population ageing. Research on the labour market outcomes of skilled migrants tends to focus on employers' devaluation of skills without considering the role of immigration policy in the migration process. Moreover, there is little understanding of whether efforts to meet employer demands for local qualifications improve labour market outcomes. Drawing on a study on skilled migrants sponsored under the State‐Specific and Regional Migration Scheme in the regional state of South Australia, we explore the shaping of skills and skills recognition in the migration journey, particularly migrants' strategy of reskilling in response to employer demands for local qualifications. Our logistic regressions on the association between the acquisition of Australian qualifications and labour market outcomes reveal only marginal returns to these efforts. We argue that Australia should consider developing a more coherent skilled migration process to better harness the human capital of skilled migrants.

Purpose: Artificial Intelligence (AI) systems play an increasing role in organisation management, process and product development. This study identifies risks and hazards that AI systems may pose to the work health and safety (WHS) of those engaging with or exposed to them. A conceptual framework of organisational measures for minimising those risks is proposed.Design/methodology/approach: Adopting an exploratory, inductive qualitative approach, the researchers interviewed 30 experts in data science, technology and WHS; 12 representatives of nine organisations using or preparing to use AI; and ran online workshops, including with 12 WHS inspectors. The research mapped AI ethics principles endorsed by the Australian government onto the AI Canvas, a tool for tracking AI implementation from ideation via development to operation. Fieldwork and analysis developed a matrix of WHS and organisational–managerial risks and risk minimisation strategies relating to AI use at each implementation stage.Findings: The study identified psychosocial, work stress and workplace relational risks that organisations and employees face during AI implementation in a workplace. Privacy, business continuity and gaming risks were also noted. All may persist and reoccur during the lifetime of an AI system. Alertness to such risks may be enhanced by adopting a systematic risk assessment approach.Originality/value: A collaborative project involving sociologists, economists and computer scientists, the study relates abstract AI ethics principles to concrete WHS risks and hazards. The study translates principles typically applied at the societal level to workplaces and proposes a process for assessing AI system risks.