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The mismatch between the number of people who annually reach working age and the availability of jobs has been a matter of constant concern globally during the better part of the period since the global financial crisis of the last decade. The International Labour Organisation’s latest forecast that a few more millions are set to join the pool of the jobless during this year and the next, is in line with its own previous estimates.
In any case, with the growth in global gross domestic product registering a six-year low in 2016, expectations of generation of new jobs were always going to be low. But a no-less-serious concern in the ‘World Employment and Social Outlook 2017’ pertains to the stubborn challenge of reducing the extent of vulnerability that currently affects about 42 per cent of the total working population. This concern refers to lack of access to contributory social protection schemes among the self-employed and allied categories, unlike their counterparts in the wage-earning and salaried classes. The former segment accounts for nearly 50 per cent of workers in the emerging economies and 80 per cent in developing countries.
The hardships faced by these 1.4 billion working people will become more apparent when seen in the backdrop of either the absence of strong welfare legislation or its effective enforcement in a majority of these countries. It is no surprise that besides Sub-Saharan Africa, South Asia has been the most affected by such volatile conditions.
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- Virtual assistants: Siri, Alexa, and Google Assistant are examples of virtual assistants that use natural language processing to understand and respond to users’ queries.
- Recommendation systems: Companies like Netflix and Amazon use AI to recommend movies and products to their users based on their browsing and purchase history.
- Efficiency: AI systems can work continuously without getting tired or making errors, which can save time and resources.
- Personalization: AI can help provide personalized recommendations and experiences for users.
- Automation: AI can automate repetitive and tedious tasks, freeing up time for humans to focus on more complex tasks.
- Job loss: AI has the potential to automate jobs previously performed by humans, leading to job loss and economic disruption.
- Bias: AI systems can be biased due to the data they are trained on, leading to unfair or discriminatory outcomes.
- Safety and privacy concerns: AI systems can pose safety risks if they malfunction or are used maliciously, and can also raise privacy concerns if they collect and use personal data without consent.
Artificial Intelligence
Definition:
AI, or artificial intelligence, refers to the development of computer systems that can perform tasks that would normally require human intelligence, such as recognizing speech, making decisions, and understanding natural language.
Examples:
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