Ai and future forecast machine really future telling it will be Basic elements Data standard Reference and human knowledge Ethical and transparent

Ai and future forecast machine really future telling it will be

Today we as age living has where weather forecast share market updown health problems danger students results also any criminal possible this all ai help before told it has some angle we as world's enters in it where data this new oil has and algorithm this new analysis has questions as has been that machine really future see it this or it only past tense mirror see it tomorrow forecast built in


Ai means artificial intelligence which future forecast don't do that then it past tense and current biggest data study by pattern known it example back 50 yrs rain data temperature changes air speed weather pressure this all based ai forecast do it tomorrow rain fall down this magic not this math possible it this possible percentage on express in it 70 % rain possible means 10 from 7 time as situation rain fall down has



Today many sectors AI future do it health sector any person diabetes or heart'attack get possible telling it x-ray and MRI scan analysis in Cancer starts symbol known it farming crops production how much get which parts insect increase in water needs how much required it's forcast takes it education students study habits attendance previous number on it their working forcast built in business customers what purchase in it which production trend's in goes in which investment benefits get it this model suggests it


But here one Big questions has if Machine telling it any student fail in then we him'before weaker means see it get it is if ai by say that any part crime get possible has then it part people towards suspicious by see it in it as type forcast reality happen get it then it dangerous things get it because forcast this alert has stamps not ai possible telling it but it decision takes it not

Basic elements

Data standard

Accurate advanced and per person data required wrong or uncompleted data wrong forcast biased data has decision biased get it

Reference and human knowledge

Only number not enough not society economic and cultural elements thinking required situation changes model update it needs it's

Ethical and transparent

Forcast public by mental impact get it person privacy safely important algorithm how works it about transparent important has

Human hand in

Final decision human takes it requires AI use helps means do it

Moral story

Arjun loved using ai to plan everything he asked it which subject to choose which sports to play even which friends might help him succeed one day the ai predict he would fail in a mathematics competition based on past scores Arjun felt discouraged but instead of accepting the prediction he decided to work harder he practiced daily asked questions and improved steadily on competition day he surprised everyone including himself by winning second prize Arjun understood that prediction show's possibility not destiny the future is shaped by effort courage and choice not by algorithm alone