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This can expand the range of affected job sectors into white-collar and service sector jobs such as in medicine, finance, and information technology. [11] As an example, call center workers face extensive health and safety risks due to its repetitive and demanding nature and its high rates of micro-surveillance.
Additionally, the prevalence of mental health and addiction disorders exhibits a nearly equal distribution across genders, emphasizing the widespread nature of the issue. [9] The use of AI in mental health aims to support responsive and sustainable interventions against the global challenge posed by mental health disorders.
Studies have also shown that rather than solely destroying jobs AI can also create work: albeit low-skill jobs to train AI in low-income countries. [ 118 ] Following Russian president Vladimir Putin 's 2017 statement that whichever country first achieves mastery in AI "will become the ruler of the world", various national and supranational ...
#10. Maids and housekeeping cleaners - Projected new jobs by 2032: 1,600 (+0.1% from 2022) - Total projected jobs in 2032: 1.2 million. AI can automate maids' and housekeepers' repetitive ...
The AI model used for the study was more than three times less predictive for depression when applied to Black people who use Meta Platforms' Facebook than for white people, the researchers ...
Jobs with the highest risk of being automated make up 27% of the labour force on average in OECD countries, with eastern European countries most exposed, the Paris-based organisation said in its ...
Efforts have been made in some countries to allocate funding to mental health initiatives. Uganda's policies are a prime example of a successful effort to improve mental health in Southeast Africa. In 2006–2007, after undertaking an initial situational analysis of Uganda's mental health system, a new mental health policy was created. [3]
It also means that the type of jobs companies are recruiting and hiring form will continue to shift as the skillsets that are most valuable change. [7] Human resources has been identified as one of the ten industries most affected by AI. [7] It is increasingly common for companies to use AI to automate aspects of their hiring process.