When Isaac Asimov wrote about robots and some higher level computer intelligence beings being some integral parts of society, He was considered science fiction visionary. We have came really far away from steam engine to first computers to making machines which can beat humans in his own games and we are moving towards an extreme future with machines and tiny electrons controlling our fate, maybe. Whenever someone talks about Artificial Intelligence the first thought is of robots and machines as depicted in cinema, whether we like it or not cinema is the foremost the mirror of human and machine relationship and depicts it as complex nature, whether it is the terminator series or chappie or some what dystopian future based Pixar's wall-e. And wall-E being the best example of how robots behave based on bias and who makes them and how they learn. Machine Learning bias is a main problem as we are making new and new machine learning models day by day.

A central concern surrounding AI is how it might affect the labour market. In recent years, technology that relies on automation has become more advanced, and its application is increasing across a range of different business settings. Does it pose a threat to business and what are the wider implications for society? AI has wide-ranging implications and not just in the places you might first expect. However, it's not necessarily true that AI will destabilize whole areas of the work force as it pertains to certain kinds of workers in the economy.

Jeff Brantingham is as close as it gets to putting a face on the controversial practice of "predictive policing." Over the past decade, the University of California-Los Angeles anthropology professor adapted his Pentagon-funded research in forecasting battlefield casualties in Iraq to predicting crime for American police departments, patenting his research and founding a for-profit company named PredPol, LLC. PredPol quickly became one of the market leaders in the nascent field of crime prediction around 2012, but also came under fire from activists and civil libertarians who argued the firm provided a sort of "tech-washing" for racially biased, ineffective policing methods. Now, Brantingham is using military research funding for another tech and policing collaboration with potentially damaging repercussions: using machine learning, the Los Angeles Police Department's criminal data, and an outdated gang territory map to automate the classification of "gang-related" crimes. Being classified as a gang member or related to a gang crime can result in additional criminal charges, heavier prison sentences, or inclusion in a civil gang injunction that restricts a person's movements and ability to associate with other people.