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Issues with AI - Coggle Diagram
Issues with AI
Economic
Job Displacement and Entry-Level Hiring Slowdowns:The IMF estimates about 40% of jobs globally are exposed to AI.
Income and Wealth Inequality: Concentrated capital returns among tech owners, major corporations etc.
Frontier AI Models requires massive public funding. Developing economies thus may fail to even own a frontier model.
The AI Productivity Trap: Many organizations implement AI tools to gain time-saving efficiency, yet only 27% report productivity gains.
Geographical and Digital Divides: Early-adopter nations and technology hubs capture most of the economic dividends, while developing countries face infrastructure gaps, high energy/data costs, and widening digital divides.
Ethical
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Reduction of Human Interference/Autonomous AI - USA bombing of a girl's school in IRAN due to old data & no human verification.
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Social
Caste bias: Research such as Google’s Indian-BhED dataset and journalistic audits (e.g. MIT Technology Review, 2025) found LLMs reproducing caste stereotypes.
Accessibility Issues: Indic scripts cost more tokens, so access is more expensive.
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