Table of Contents MAIN BODY...................................................................................................................................1 REFERENCE...................................................................................................................................2
MAIN BODY Artificial Intelligence has penetrated many processes of organisation that resulting in growing fear that smart machines will be soon replace many humans in decision making. It is also known as machine intelligence (Mirza and Osindero, 2014). It affects on future work as robots takes the position of humans. In coming years, there is 50 percent chances that machine will outperform humans in all works, it is not fake, it is the research conducted by 350 artificial intelligence researchers. Machines will be more efficient and effective than humans. It is also discovered that all the jobs will be automated within in 120 years as it is said by the participants in the survey conducted by the AI researchers. Human become useless by 2060 as everyone will be beat up by machines as said by experts. Artificial intelligence is not only giving a smooth life to human but they are vanishing the human from the earth and making them jobless but it is not right hundred percent as creating new jobs, AI will help people do there jobs in much better way. Addition to this, PWC and OECD has recommended some sectors or industries that are highly benefited or as less risk from automation from the artificial intelligence (AI) are Education, Scientific & Technical work, Information & Communication (Russell and Norvig, 2016). On the other hand, there are some sectors or industries that will do badly include those that involve repetitive,administrativeworklikeFinance&Insurance,Retail,Construction,Public Administration, Transport, Construction ad Manufacturing. The question arise is that, will Artificial Intelligence displace some jobs or not? 1
REFERENCE Russell, S.J. and Norvig, P., 2016.Artificial intelligence: a modern approach. Malaysia; Pearson Education Limited, Mirza, M. and Osindero, S., 2014. Conditional generative adversarial nets.arXiv preprint arXiv:1411.1784. 2