12/12/2023 0 Comments Facebook chatbot ai rogue![]() ![]() For example, if you have an algorithm for learning to recognise cats, then that same algorithm can’t-without new learning-suddenly decide that one of the pictures wasn’t of a cat but a dog, and then intelligently be capable of distinguishing cats from dogs. But self-learning systems and algorithms only operate and optimise within a very narrow domain. Therefore, data and machine learning is hugely important, as they’re key to creating self-learning systems. As computers become more powerful, we can create faster and more advanced algorithms that allow us to optimise processes and complete more and more complex tasks, but we still cannot create a program that automates these tasks completely.Īs of today, all AI is simply pattern matching-and we generally understand that the brain is the most complex pattern matching “computer” that exists. With our current capabilities, we can only construct applications that either mimic what we know or automate what we do. However, every invention, no matter how simple or complex, has one thing in common: it has merely been a tool to gain efficiency by optimizing existing processes. That’s a great deal of tech to consider, to be sure. Let’s take a step back and look at bots in the greater context of human inventions. Without an incentive to communicate in English, the bots were simply carrying out their assigned task using the most efficient means possible-and “efficiency” was a directive that they were programmed to achieve. The resulting dialogue has been likened to a Skynet-esque conversation in bot code, but it can actually be explained by this simple oversight in the design. According to a report by Facebook, the bots weren’t given an incentive to communicate in English and therefore started using a shorthand reminiscent of zeros and ones that they found to be more efficient than the English language. Looking back at Facebook’s negotiation chatbots, the fact that the bots started communicating in their “own” language is far less ominous than it sounds. However, it also makes it easier for us to suspect sinister intentions when a program does anything out of the ordinary. However, these actions are no different than what we can already achieve using software – the process is just packaged into a natural language interface (NLI) or conversational interface, which makes it easier to find information and complete tasks. On the consumer side, bots like Siri and Alexa can carry out basic requests and are even programmed to respond humorously when prompted by specific questions. ![]() These bots can serve up information from multiple sources upon request and can initiate actions such as placing an order or creating a report. Where we stand with bots and AIĬurrently, what we refer to as “chatbots” are, at their most basic level, just another way for us to interact with an application, akin to a graphical user interface. Here’s where we stand, where we’re headed, and what CIOs and business leaders need to know about bots today. Despite speculation that we were just one step away from an AI-gone-rogue crisis, as the chief architect for a major ERP company working on AI and chatbot technologies, I believe we still have a long way to go before we need to worry about a bot-pocalypse-and that bots are still performing exactly as we would expect. Therefore, it’s no surprise that when, earlier this summer, two Facebook bots began chatting with each other seemingly in their own language, the internet exploded with predictions of our demise. This is a contributed piece by Claus Jepsen, chief architect at Unit4įrom Westworld to Terminator, it’s no secret that Hollywood believes AI is out to get us and that it’s only a matter of time before we’re faced with a robot gone rogue. ![]()
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