Rising seniors are the last class of students who remember high school before ChatGPT. But only just barely: OpenAI's chatbot was released months into their freshman year. Ever since then, writing essays hasn't required, well, writing. By the time these students graduate next spring, they will have completed almost four full years of AI high school. Gone already are the days when using AI to write an essay meant copying and pasting its response verbatim.

Recent advances in artificial intelligence (AI) have led to a diverse set of predictions about its long-term impact on humanity. A central focus is the potential emergence of transformative AI (TAI), eventually capable of outperforming humans in all economically valuable tasks and fully automating labor. Discussed scenarios range from human extinction after a misaligned TAI takes over ("AI doom") to unprecedented economic growth and abundance ("post-scarcity"). However, the probabilities and implications of these scenarios remain highly uncertain. Here, we organize the various scenarios and evaluate their associated existential risks and economic outcomes in terms of aggregate welfare. Our analysis shows that even low-probability catastrophic outcomes justify large investments in AI safety and alignment research. We find that the optimizing representative individual would rationally allocate substantial resources to mitigate extinction risk; in some cases, she would prefer not to develop TAI at all. This result highlights that current global efforts in AI safety and alignment research are vastly insufficient relative to the scale and urgency of existential risks posed by TAI. Our findings therefore underscore the need for stronger safeguards to balance the potential economic benefits of TAI with the prevention of irreversible harm. Addressing these risks is crucial for steering technological progress toward sustainable human prosperity.

While Microsoft co-founder Bill Gates remains optimistic about the social benefits of artificial intelligence, now even the billionaire mogul fears that AI could take his job. The candid quip came during a recent podcast conversation with OpenAI CEO Sam Altman, whose company is responsible for the AI-powered chatbot ChatGPT. Over the years, Gates has maintained that the three best career paths for recent graduates are those in alternative energy, health biosciences, and advancing artificial intelligence itself -- but notably'billionaire philanthropist' is not on that list. 'I could even lose my job,' Gates said on his podcast, 'Unconfuse Me with Bill Gates.' 'When the machine says to me, "Bill, go play pickleball, I've got malaria eradication. You're just a slow thinker,"' he worried, 'then it is a philosophically confusing thing.'

Artificial intelligence is taking over countless industries around the U.S., raising concerns among Americans who fear they will be replaced by the tech. Now, new research has revealed the most and least AI-proof cities across the nation, based on five key metrics including job availability, the state's population growth rate, and job diversity. Workers based in major tech hubs should look to large, coastal metropolitan areas if they want to avoid losing out to artificial intelligence, with Phoenix, Arizona coming in first as the most AI-proof city in the country. The report warned that Providence, Rhode Island is the top city most susceptible to AI-related job loss. A report revealed the best cities to move to if you want to avoid AI and the top cities you should consider moving away from.

Amidst the Russian invasion of Ukraine, the risk of nuclear war is now larger than it has been since the end of the Cold War. The spectre of nuclear annihilation, once thought a thing of the past, has returned. While technology can avert some forms of annihilation, for example by diverting major asteroid strikes, these naturally occurring risks are likely small, evidenced by our long history free from them. The same cannot be said for those caused or exacerbated by technology. Nuclear war, climate change, engineered bioweapons, and even pandemics: these risks are unfortunately all too familiar.

Many advances in artificial intelligence (AI) are fascinating, but some recent use cases are downright creepy. AI is being increasingly used to make important decisions. Major tech companies are the primary ones driving AI advances, and their algorithms impact billions of people. Unfortunately, these companies have zero accountability. YouTube (owned by Google) is helping to radicalize people into white supremacy.

Introduction Here, I theorize that an artificial intelligence will take over the world, for better or worse, within 20 years. I predict that artificial general intelligence will occur sooner than expected, however defined. Furthermore, I predict that there will be a major AI "accident" in the next 10 years, where a large scale production AI fails in a way that causes significant loss of life due to misspecification of goal system architecture and higher than expected intelligence. This is due to the lackadaisical attitude by AI safety researchers, exponential progress in computing, arms race dynamics, and the fact that the very data any AI is trained on is not only biased, but contains "control" arguments that would incentivize an AI to strike when the opportunity arises. Finally, I consider an alternative to the Simulation Argument, that I call the Simulated Doomsday Argument that suggests we are in a simulation created by an AI that we fail to control. While this short article is primarily theoretical, I believe the empirical evidence supports this seemingly radical view.

Artificial Intelligence (AI) is a transformative technology. It may undoubtedly prove beneficial for the future but a complete AI takeover is also highly likely, if due measures aren't taken now. AI is creating fear and excitement by disrupting several industries. Technology taking over humans has always been a very common theme in science fiction movies for as long as we can remember. In the movie I, Robot starring Will Smith, for instance, it is portrayed that robots become intelligent enough to take over humans entirely.

When I started writing about science decades ago, artificial intelligence seemed ascendant. IEEE Spectrum, the technology magazine for which I worked, produced a special issue on how AI would transform the world. I edited an article in which computer scientist Frederick Hayes-Roth predicted that AI would soon replace experts in law, medicine, finance and other professions. But that year, 1984, ushered in an AI winter, in which innovation stalled and funding dried up. By 1998, problems like non-recurrent engineering had begun to be recognized: "Algorithms that can perform a specialized task, like playing chess, cannot be easily adapted for other purposes."

A popular plot point for most dystopian literature has been the so-called robot/AI revolt. We have all watched the storyline unfold, whether on the large screen or the small screen, as the AI-driven artificial overlords take over the human race painfully, indeed, and ruthlessly. If it exists in real life, we are not yet sure about the result of the AI takeover! The subject of the revolt in AI is quite debatable. While others have nothing but amazing things to say about the AI movement, there are many AI developers who have spoken out publicly about the kind of negative influence that AI can have on society and called scholars to investigate the social implications of artificial intelligence.