Most broadly, we are likely to see the strategies that emerged last year continue, expand, and begin to be implemented. For example, following President Biden's executive order, various US government agencies may outline new best practices but empower AI companies to police themselves. And across the pond, companies and regulators will begin to grapple with Europe's AI Act and its risk-based approach. It certainly won't be seamless, and there's bound to be a lot of discussion about how these new laws and policies actually work in practice. While writing this piece, I took some time to reflect on how we got here.

The creator of the darkly addictive sci-fi series Black Mirror saw it fitting to ask ChatGPT to conjure up an episode for Season 6 only to find the chatbot'is sh***.' Charlie Brooker, 52, said he typed in'generate Black Mirror episode' and received a story'that sorta mushed' all the other ones together. The first thing Black Mirror creator Charlie Brooker did, when everyone was trying ChatGPT for the first time, was to type in'generate Black Mirror episode.' Speaking to Empire, Brooker found there was no real thought behind the AI-generated script, only that it read'plausibly.' Brooker -- who has been writing most episodes of the haunting, Twilight Zone-esque series since its first 2011 season on UK's Channel 4 -- said that his brush with an AI-generated doppelgänger of his own show did teach him to be less robotic himself. The Black Mirror creator's experience with ChatGPT has encouraged him to make bolder creative choices with future seasons of the dystopian anthology series. One upcoming episode'Beyond The Sea,' starring Josh Hartnett (above) takes place in an alternate 1969 ChatGPT was first unleashed in November, sparking excitement and alarm at its ability to generate convincingly human-like essays, poems, form letters and conversational answers to almost any question. 'I was aware that I had written lots of episodes where someone goes'Oh, I was inside a computer the whole time!''

Center for AI Safety Director Dan Hendrycks explains concerns about how the rapid growth of artificial intelligence could impact society. Judges are likely to take concerns over artificial intelligence into their own hands and create their own rules for the tech in courtrooms, experts say. U.S. District Judge Brantley Starr of the Northern District of Texas may have been a pioneer last week when he required lawyers who appear in his courtroom to certify they did not use artificial intelligence programs, such as ChatGPT, to draft their filings without a human checking for accuracy. "We're at least putting lawyers on notice, who might not otherwise be on notice, that they can't just trust those databases," Starr, a Trump appointed judge, told Reuters. "They've got to actually verify it themselves through a traditional database."

ChatGPT debuted in Nov. 2022, garnering worldwide attention almost instantaneously. The artificial intelligence (AI) is capable of answering questions on anything from historical facts to generating computer code, and has dazzled the world, sparking a wave of AI investment. Now users have found a way to tap into its dark side, using coercive methods to force the AI to violate its own rules and provide users the content -- whatever content -- they want. ChatGPT creator OpenAI instituted an evolving set of safeguards, limiting ChatGPT's ability to create violent content, encourage illegal activity, or access up-to-date information. But a new "jailbreak" trick allows users to skirt those rules by creating a ChatGPT alter ego named DAN that can answer some of those queries.

Machine learning is a branch of AI. Other tools for reaching AI include rule-based engines, evolutionary algorithms, and Bayesian statistics. While many early AI programs, like IBM's Deep Blue, which defeated Garry Kasparov in chess in 1997, were rule-based and dependent on human programming, machine learning is a tool through which computers have the ability to teach themselves, and set their own rules. In 2016, Google's DeepMind, beat the world champion in Go by using machine learning--training itself on a large data set of expert moves. In supervised learning, the "trainer" will present the computer with certain rules that connect an input (an object's feature, like "smooth," for example) with an output (the object itself, like a marble). In unsupervised learning, the computer is given inputs and is left alone to discover patterns. In reinforcement learning, a computer system receives input continuously (in the case of a driverless car receiving input about the road, for example) and constantly is improving. A massive amount of data is required to train algorithms for machine learning. First, the "training data" must be labeled (for instance: a GPS location attached to a photo).

Artificial intelligence, which has been around since the 1950s, has seen ebbs and flows in popularity over the last 60 years. But today, with the recent explosion of big data, high-powered parallel processing, and advanced neural algorithms, we are seeing a renaissance in AI--and companies from Amazon to Facebook to Google are scrambling to take the lead. According to AI expert Roman Yampolskiy, 2016 is the year of "AI on steroids." While there are different forms of AI, machine learning represents today's most widely valued mechanism for reaching intelligence. Machine learning is a branch of AI.

Artificial intelligence, which has been around since the 1950s, has seen ebbs and flows in popularity over the last 60 years. But today, with the recent explosion of big data, high-powered parallel processing, and advanced neural algorithms, we are seeing a renaissance in AI--and companies from Amazon to Facebook to Google are scrambling to take the lead. According to AI expert Roman Yampolskiy, 2016 is the year of "AI on steroids." While there are different forms of AI, machine learning represents today's most widely valued mechanism for reaching intelligence. Machine learning is a branch of AI.