Authors: Matua Emmanuel Date: Wednesday, 21 August 2024
Country: Uganda
Source: https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRvp-kh9sIBdKgiPLtmxNRugCklhuAmNTIxTA&s
SUMMARY
After World War II, several people independently started to work on intelligent machines. The English mathematician Alan Turing may have been the first. He gave a lecture on it in 1947. He may also have been the first to decide that AI was best researched by programming computers rather than building machines. Recently, 2,778 AI researchers surveyed rated the chance of AI outperforming humans in every task at 50% by 2047, 13 years sooner than last year’s estimate. Demand for AI rose in all job sectors as applications like ChatGPT made AI accessible to the non-expert. In emerging markets and LICs, 40% and 26% of jobs respectively are exposed to AI (would either benefit from AI applications, or be replaced by it).
BACKGROUND
The genesis of AI
After World War II, several people independently started to work on intelligent machines. The English mathematician Alan Turing may have been the first. He gave a lecture on it in 1947. He may also have been the first to decide that AI was best researched by programming computers rather than building machines. By the 1950s, there were many researchers on AI and most of them were basing their work on programming computers McCathy, J. (2007). Comparing humans and machines is one important source of information about machines and human strengths and limitations.
AI today and its future projection
Recently, 2,778 AI researchers surveyed rated the chance of AI outperforming humans in every task at 50% by 2047, 13 years sooner than last year’s estimate. Demand for AI rose in all job sectors as applications like ChatGPT made AI accessible to the non-expert. However, AI misinformation is the World’s biggest short-term threat, according to the World Economic Forum.
The global distribution of Internet use
67% of the World was online in 2023 up 4.7% in 2022 and yet less than a third (27%) of the people in low-income countries (LICs) used the internet in 2023. 93% of people in high-income countries were online in 2023 whereas in Arab States and Asia Pacific, the fraction was two-thirds, in line with the global average, while Africa’s average is just 37%.
While gender parity is improving, women’s mobile internet use in LMIs still lags 19% behind men’s. Nearly two-thirds of the estimated 900 million women not yet connected to the internet are in South Asia and Sub-Saharan Africa.
AI-related inequalities
In emerging markets and LICs, 40% and 26% of jobs are exposed to AI (would either benefit from AI applications or be replaced by it). AI will likely worsen inequality within and between countries, as those with the skills to use it pull ahead of those who cannot.
Profound benefits of AI
Indisputably, AI has incredible advantages that include the following; tasks are finished faster than humans, stressful and complex work is done easily and quickly, Multiple functions can be done at a time, high success and efficiency ratio, less error and defects in tasks, less space and size, calculation of long term and complex situations and discovery of unexplored things.
Challenges associated with AI
Despite the appreciably profound AI breakthroughs, it has some challenges they include; once misused AI can cause mass-scale destruction, programs sometimes done opposite to the command (mismatch), human jobs are affected, unemployment problem increased, creativity entirely dependent upon the programmer, lacks the incomparable human touch, a lot of money and time required, it makes the younger generation lazy, and it causes a lot of technological dependency.
With the enormous breakthroughs, AI still has seemingly negligible but significant disadvantages that may most likely hit the Global South more.
With the current low and unequal utilization of mobile internet in Arab States, Asia Pacific, and Africa, AI utilization and benefits will be worse in disparity magnitude.
Will the Global South keep up to date with the trend and pace in reality?
1. Ku. Chhaya A. Khanzode and Dr. Ravindra D. Sarode, Advantages and Disadvantages of Artificial Machine Learning: A Literature Journal of Library & Information Science, 9(1), 2020, pp. 30-36. http://www.iaeme.com/IJLIS/issues.asp?JType=IJLIS&VType=9&IType=1
2. Photo source. https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRvp-kh9sIBdKgiPLtmxNRugCklhuAmNTIxTA&s
3. UNDP (2024). 2024 UNDP Trends Report: The Landscape of Development. New York, New York.
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