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This study aims to examine mental health amongst two cohorts of single mothers in Australia before and after major social welfare reforms, which limited single parents’ access to welfare payments to encourage labour market participation.

The study analyses The Australian Longitudinal Study on Women’s Health, which surveyed 9,145 women born in the 1970s in 2003, and 8,346 women born in the 1990s in 2019.

Compared with other women of similar age, single mothers reported a higher prevalence of depression, anxiety, self-harm and suicidal thoughts and lower levels of mental health, although the magnitude varied between age groups and cohorts. This difference disappeared after controlling for socio-demographic characteristics. Mental health of single mothers improved relative to that of other women between cohorts (1970s cohort surveyed in 2003, aged 25–30 versus 1990s cohort surveyed 2019, aged 24–30) and within the same 1970s cohort (surveyed 2003 and 2018), all else equal. Single mothers from the 1970s cohort aged 40–45 years and those in the 1990s cohort aged 24–30 years old were more qualified and held better jobs than the 1970s cohort at aged 25–30. Stress-related to money, ability to manage on available income and experiencing domestic violence were negatively associated with mental health across all cohorts and ages. Social support had a strong positive association with mental health.

The study suggests low welfare payment to encourage greater labour market participation is associated with financial distress linked to poor mental health.

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.

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.

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.

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.