Microsoft's A.I. chatbot started out as an innocent, interesting experiment. Then the rest of the Internet showed up. After Twitter users were able to convince Tay, the name of Microsoft's chatbot available via text, Twitter and Kik, to spit out offensive and racist comments, it appears Microsoft is giving it a break. Going offline for a while to absorb it all. Chat soon," reads a statement on the website for Tay.

Webtrends CEO Joe Davis recently added his voice to the discussion surrounding machine learning in the article, "Four Reasons Marketers Should Be Excited About Machine Learning." Machine learning has the ability to consume virtually unlimited amounts of detailed data to constantly review and adjust your message based on very recent customer behaviors. Once a model is trained from a full set of data sources, it can identify the most relevant variables, limiting long and complicated integrations and allowing for focused data feeds. The speed at which machine learning can consume data and identify relevant data makes the ability to act in real time a reality. For example, machine learning can constantly optimize the next best offer for the customer, so what the customer might see at noon may be different than what that same customer sees at 1 PM.

This month I spent part of my free time to go through the'March Machine Learning Mania 2016' competition, by studying the subject and by attending two meetups here in London. The objective of the Kaggle competition was to predict the 2016 NCAA Basketball Tournament, called March Madness. It was a very enjoyable experience. You might think, what the heck has this to do with HR Analytics, the subject in which I am normally interested in. Predicting performance through machine learning algorithms is a crucial aspect for HR Analytics.

The tech company introduced "Tay" this week -- a bot that responds to users' queries and emulates the casual, jokey speech patterns of a stereotypical millennial. The aim was to "experiment with and conduct research on conversational understanding," with Tay able to learn from "her" conversations and get progressively "smarter." But Tay proved a smash hit with racists, trolls, and online troublemakers, who persuaded Tay to blithely use racial slurs, defend white-supremacist propaganda, and even outright call for genocide. Microsoft has now taken Tay offline for "upgrades," and it is deleting some of the worst tweets -- though many still remain. It's important to note that Tay's racism is not a product of Microsoft or of Tay itself.

Google has entered into the machine learning market with the alpha release of Cloud Machine Learning. Built on top of the company's open source machine learning system TensorFlow, the offering will allow customers to build custom algorithms the make predictions for their business, aiding decision making. "At Google, researchers collaborate closely with product teams, applying the latest advances in machine learning to existing products and services – such as speech recognition in the Google app, search in Google Photos and the Smart Reply feature in Inbox by Gmail," said Slaven Bilac, Software Engineer at Google Research. "At GCP NEXT 2016, we announced the alpha release of Cloud Machine Learning, a framework for building and training custom models to be used in intelligent applications." The system is already used in a number of Google's current offerings, though it is later to market than its competitors.

Microsoft created a chatbot that tweeted about its admiration for Hitler and used wildly racist slurs against black people before it was shut down. The company made the Twitter account as a way of demonstrating its artificial intelligence prowess. But it quickly started sending out offensive tweets. "bush did 9/11 and Hitler would have done a better job than the monkey we have now," it wrote in one tweet. "donald trump is the only hope we've got."

Google today announced at its GCP NEXT conference in San Francisco a new service called Cloud Machine Learning in a limited preview. The tool relies on the TensorFlow machine learning library that Google open-sourced a few months ago. And it powers another new product called the Google Cloud Speech API, as well as the Google Cloud Translate API. Google's launch of the service follows the launch of the Cloud Vision API recently. But a machine learning platform is something that public cloud market leader Amazon Web Services beat Google to.

Microsoft Corp. is in damage control mode after Twitter users exploited its new artificial intelligence chat bot, teaching it to spew racist, sexist and offensive remarks. The company introduced Tay earlier this week to chat with real humans on Twitter and other messaging platforms. The bot learns by parroting comments and then generating its own answers and statements based on all of its interactions. It was supposed to emulate the casual speech of a stereotypical millennial. The Internet took advantage and quickly tried to see how far it could push Tay.

One of the tropes of science fiction is the uncanny valley -- the phenomenon of a robot looking eerily human-like but not quite right in some intangible way. Another is the breakdown in the distinction between human and machine. And a third is artificial intelligence becoming so complex and sophisticated that humans are no longer able to understand or control it. Well, not to be the bearer of bad news, but all of those tropes from the movies are already happening. The good news is that some of these advances have the potential to make our lives a lot better.

The automation of work and the digital disruption of business models place a premium on leaders who can create a vision of change and frame it positively. How disruptive will accelerating workplace automation be for organizations in the future? For decades, businesses have deployed technology to reduce costs and complexity, make better products, and develop new business models. But the new potential of artificial intelligence and advanced robotics poses major new challenges for leaders as they seek to reset their strategies for a digital age. Last November, Bloomberg chairman Peter Grauer and Nadir Mohamed, the recently retired CEO of Rogers Communications, sat down with Manfred Kets de Vries, a professor at INSEAD, and Harvard professor Robert Kegan to debate some of the issues with Claudio Feser, head of McKinsey's leadership development initiative.