The combination of ML and UX can create really powerful products, like Visual Discovery by Pinterest, or Google's Smart Compose. And interest in the intersection is growing (our Machine Learning and User Experience Meetup has grown up to 2000 members strong).

As we edge closer to the end of a very eventful year, it seemed like a good time for a follow up to "12 Amazing Women in AI Ethics to Follow in 2018" post, which left out many deserving voices who are furthering the cause of Ethical and Responsible Artificial Intelligence (AI). We live in very challenging times. The pervasiveness of bias in AI algorithms and autonomous "killer" robots looming on the horizon, all of which necessitate an open discussion and immediate action to address the perils of unchecked AI. The decisions we make today will determine the fate of future generations. Ethics in AI or Responsible AI is a broad evolving discipline that covers wide spectrum of critical issues facing humanity today, including how we can eliminate racial/gender inequities perpetuated by algorithmic biases to whether robots should have rights.