If you are wondering how the future of photography will look like, you might want to start by doing a little research on what smartphone manufacturers say about artificial intelligence. Beyond all the buzz you see in blogs and TV about what AI can or cannot do, this technology has significantly changed photography over the past decade. This progress seems to have just started. There are still many developments that should be expected for sure. However, the most recent advances in software and hardware are giving photography what it has been missing all along. Looking at Google Photos, there is a clear demonstration of how the mix of AI and photography can bring to the table. Before the launch of Google Photos back in 2015, the tech giant was using machine learning in the categorization of images in Google+.

Man versus machine is the theme that has occupied technology discussions for decades. From John Henry, the steel-driving man to the current artificial intelligence (AI) and self-driving cars, the discussion around machines taking over from man is not going anywhere any time soon. For decades, artificial intelligence has developed significantly, and people are now worried that it might take away power long held by man. Today, an area that worries many is the impact that AI will have on human employment. While this can be true somehow, the reality is that machines can make us look far much better than some might think. AI is a disruptor, and this talk is nothing new to fear. For more than two centuries, we have been hearing about the potential obsolescence of humans in the workforce since the start of the first Industrial Revolution.

 Over the years, human biases have been laid bare, and most of them are well-documented. From the field experiments that demonstrate human biases to implicit association tests that show some of the prejudices that we are not even aware of, humans are irredeemably prejudiced, and that is not new to anybody. As artificial intelligence continues developing at unprecedented levels, it is emerging that human biases have made their way to AI systems- leading to harmful results.