That's what we were aiming for! For the first time, In Seattle, on May 20th, we decided to host a series of talks on the subject of Ethics in Machine Learning. As we mentioned in a KD Nuggets post last month, we've recently asked ourselves this: Can AI really ever be safe if it learns from us? Following our Quora question: "What constraints to AI and machine learning algorithms are needed to prevent AI from becoming a dystopian threat to humanity?" The winner of the contest, Igor Markov, went on to present his answer and plan at MLconf Seattle on 05/20.

MLconf in Seattle is a week away and we are getting a glimpse. Ethics in machine learning is the hottest conversation right now. Hear how a quantum molecular dynamic model made Uber service more reliable, get practical advice on next revolution in text search, and learn about multi-classification evaluation and ensemble learning. Franziska Bell, Data Science Manager at Uber, will talk about how a quantum molecular dynamic model for enzymes made Uber more reliable as a service. And of course, you don't need to be a quantum mechanics to be a data scientist.

As machine learning matures, we're seeing the deterioration of innocence of these systems and algorithms. Initiated by dreamers and hackers decades ago, Machine Learning has recently been disrupting and is now shaping the world economy. But does this come at a price? Machine Learning brings us into a new world where our views on ethics and political correctness will be challenged. In both good and bad ways, it reflects what we really are.