
20/10/2023 11:26 AM 1085
How will AI change the world?
The lesson is that while AI brings efficiency, we must be careful not to remove human oversight entirely. Workers’ perspectives matter, and pure algorithmic management risks treating them as cogs in a machine rather than multifaceted individuals. Maintaining checks and balances will be key as AI transforms the nature of work.
Rampant Job Loss: Adaptation or Bust
Initiatives like Google’s certificate programs offer low cost, flexible education in high demand fields like data analytics. Governments should consider subsidising programs like these. Private companies also bear responsibility for retraining the employees whose jobs are changing.
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Healthcare Inequity: When AI Reflects Biassed Data
Applying AI to healthcare data holds incredible promise, as the opening section notes. Algorithms can analyse millions of records and detect clinical patterns human doctors never could. This enables more accurate diagnosis and life-saving treatment insights even for rare diseases.
But while the AI itself may be unbiased, the data we feed it often isn’t. Historical health data reflects long standing social inequalities that bias the insights algorithms can glean.
New Possibilities (and Dangers) in Media
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With vigilance, the incredible expansions of human creativity offered by AI can flourish while mitigating its risks of deception. But it will require cooperation between legislators, tech companies, and the public.
Regulating Deepfakes: Balancing Innovation and Ethics
The Surveillance Debate: Safety vs. Privacy
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Surveillance camera
The Privacy Tug-of-War: Individual Rights vs. Community Safety
Building Public Trust Through AI Transparency
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