With rapid advancements of science and technology, the emergence of artificial intelligence is transforming traditional practices and systems. Its impact on recruitment and selection is evident that’s why it is predicted that the efficiency of artificial intelligence in screening resumes is exceeding 60,000 times as compare to doing it manually. However, the critics raise questions on its effectiveness. They are of the view that resumes solely cannot present the in-depth potentials of candidates therefore without having personalized interactions a perfect person-organization fit can’t be established. Keeping in mind the pros and cons, how you foresee future of Artificial Intelligence in recruitment and selection process. Do you think it should eventually replace human recruiter or not? Discuss with logical arguments to prove your stance.

Aeuropean aircraft producer has spent 15 years in developing a new aircraft that would potential threaten long-lasting boeing's dominance (monopoly) in the same class of aircrafts. the new european aircraft gets high marks on all performance measures except noise. because of the noise, the european producers management is concerned that the us government may impose restrictions which would forbid their aircraft to land in some of the american airports. without restrictions the estimated (present discounted) profit would be 125 million usd. with the restrictions the profit would only be 25 million usd. the chances of both outcomes are estimated to be 50-50. management must decide now whether to the cost of redesign program problem and a 60% chance it will fail. should the european aircraft producer start the noise redesign program if they do not have any redesign parts of the aircraft to solve the noise problem. is 25 million usd. there is a 40% chance that redesign will solve the noise additional information than mentioned above? draw the decision tree, indicate probabilities and outcomes of the events * imagine that the company could find out in advance the outcome of the u.s. government's e find the expected value of perfect information about the u.s. government's decision. decision. draw a new decision tree, indicate probabilities and outcomes of the events.