As we all know as new technology enters society everyone thinks it will be the next big thing in life today we are seeing it with artificial intelligence .economist say that nearly all jobs will about be extinct by 2030.
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Historical Overreaction to New Technologies:
- Technological advancements often prompt exaggerated fears about societal impacts.
- Examples include concerns over AI's danger to humanity and job losses due to automation.
there is a brief history of maths automation, after the coming of digital computers it affected the job but mathematicians did not vanish, they are relevant today also. nowadays watches can perform good mathematical calculations but programmer, and mathematicians working for agencies have outnumbered computer
Complementarity of Human and Artificial Intelligence:
- Machines handle repetitive and structured tasks efficiently, freeing humans to address complex and creative problems.
- Demand for computational capabilities has consistently stimulated job creation in specialized areas.
it describes that human intelligence is not limited to any one particular field it is diverse but the computer perform their task in one single area such as arthimetices , graphs but there are many more left to invent in different area.
there is a simple rule of economics if supply becomes low when demand decreases or fails. scientist have also proved that there are some huge problems in maths that are impossible for computer to solve in today time,but humans can push these boundaries and set new benchmarks
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Broad and Diverse Nature of Intelligence:
- Intelligence encompasses a wide array of tasks, with many remaining beyond the reach of AI.
- The evolution of computational tools increases the demand for human ingenuity to solve increasingly complex challenges.
researchers also say that the important accept of artificial intelligence that this intellect by ai have been for sports such as chess which for humans will take a long period
sources: https://www.scientificamerican.com/blog/observations/what-the-history-of-math-can-teach-us-about-the-future-of-ai/
