![]() who famously reject many of the technological comforts of modern life. Some communities have long seen things this way, and here one might think of the Amish in the U.S. What we do with these technologies is therefore one of the most central (if not the central) political question of our time. But we are also wielding 21 st-century technologies that could dramatically alter human life within a few decades, and entail non-trivial existential risks of putting an end to it altogether. We are still operating with roughly the same kind of brain as our ancestors did thousands of years ago, and we coordinate our actions with institutions that often go back centuries. We do not know where AI will take us, but we do need to prepare ourselves for what might come. Since then, conceptual breakthroughs in programming have led to the creation of ever more complex and sophisticated software – and the supercomputers required to enable the most advanced AI models to unfold their full power have become so expensive that, short of well-funded governmental AI strategies in the wealthiest countries, the field is likely to end up dominated by the research agenda of private companies with substantial resources. These advances draw on breakthroughs from around 2010 when computers became powerful enough to run enormously large machine-learning models and the internet started to provide the humungous amount of training data such algorithms require to go through their learning process. But now the production of AI models appears to be moving into its own kind of industrial age, much beyond earlier stages when these models were more artisanal and speculative. Things did not evolve as quickly as the pioneers had thought (and for certain intermediate periods the term “AI winter” was used). The term “intelligence explosion” popped up initially in an article published in 1965. The term “artificial intelligence” debuted in 1956, when a few talented computer science pioneers set out to do some programming to imitate natural intelligence. It was only in the 1930s that breakthroughs in mathematics and in hardware engineering made electronic computation possible. The story up to this point is already rather breathtaking. Opinions vary enormously on how fast artificial intelligence (AI) will develop, how it will compare to human intelligence once it is further along, and what its impact on human life will be overall. But what is remarkable about this incident is that, as of 2022, someone in the industry would go on record for saying that in their view conscious artificial intelligence had arrived. Google did not appreciate these headlines, and Lemoine was fired. "This is why I think the development of this needs to include not just engineers, but social scientists, ethicists, philosophers, and so on.“I know a person when I talk to it.” With these words Google engineer Blake Lemoine made headlines in June 2022, thinking that a Google chatbot had become sentient. "How do you develop AI systems that are aligned to human values, including morality?," Pichai said. Some scammers have also used AI voice-cloning software in attempts to pose as relatives. It can also develop bias and in some cases has argued with users. ![]() ![]() Deepfake images have circulated online, such as ones showing former President Donald Trump being arrested, and some testers have found that AI chatbots will give advice related to criminal activities, such as tips for how to murder people.ĪI is known to sometimes hallucinate - make up information and continuously insist that it's true - creating fears that it could spread false information. Social scientists, ethicists, and philosophers need to be involved in the development of AI, Google CEO Sundar Pichai told CBS' "60 Minutes."Īs generative AI gains traction and companies rush to incorporate it into their operations, concerns have mounted over the ethics of the technology. ![]() Account icon An icon in the shape of a person's head and shoulders.
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