How Artificial Intelligence Will Make Digital Humans Hollywood’s New Stars
Artificial intelligence is coming to Hollywood and is on the verge revolutionizing the industry. Imagine a machine learning a character’s lines, creating and playing digital CGI characters, or generating scripts. This Hollywood Reporter article gives an example of using a machine to learn from past Paul Walker performances in the Fast and Furious series to create a character to mimic the deceased actor in future films. The collision of film and AI provides some excitement and some anxiety with some saying machines will be doing everything in 30 years.
Artificial intelligence will create new kinds of work
Ever since the Middle Ages, humans have been worried about technology taking away their jobs, but the human race has yet to experience mass job loss caused by machines. But with the advent of AI, this phenomenon may actually occur. In this article The Economist makes the case that AI may create jobs instead of eliminating of them. They cite services such as Mechanical Turk and the Universal Human Relevance System that employ armies of users whose job is to label and moderate various pieces of content. These type of websites will create demand for this unique type of digital work.
How machine learning could help to improve climate forecasts
With each passing year, the effects of climate change become more and more pronounced, which is necessitating the use of machine learning to combat it. With more climate data than ever, climate scientists are starting to use machine learning algorithms to make predictions and analyze atmospheric data. Scientists realize that weather and climate are natural fits for AI algorithms because of their ability to identify events such as hurricanes, changes in pressure and atmospheric rivers. Read more about how machine learning is on its way to becoming the primary tool in the fight to save the planet.
How Machine Learning Advances Will Improve the Fairness of Algorithms
Anyone works in data knows that machine learning models aren’t perfect, they can be vulnerable to bias just like humans. Some algorithms recently have made headlines for being sexist or racist, most notable Microsoft’s Twitter bot Tay. The author of this piece Jennifer T.Chayes of Microsoft explores how bias can seep into and penetrate machine learning algorithms. Chayes also delves into how researchers are trying to combat this pressing issue and that one shouldn’t be pessimistic about the future of AI because of some buggy bots.