Will artificial intelligence take our jobs? If you listen to Silicon Valley executives talking about the capabilities of today's cutting edge AI systems, you might think the answer is "yes, and soon." But a new paper published by MIT researchers suggests automation in the workforce might happen slower than you think. The researchers at MIT's computer science and artificial intelligence laboratory studied not only whether AI was able to perform a task, but also whether it made economic sense for firms to replace humans performing those tasks in the wider context of the labor market. They found that while computer vision AI is today capable of automating tasks that account for 1.6% of worker wages in the U.S. economy (excluding agriculture), only 23% of those wages (0.4% of the economy as a whole) would, at today's costs, be cheaper for firms to automate instead of paying human workers.

This article was originally published by The Conversation. Have you ever bitten into a nut or a piece of chocolate expecting a smooth, rich taste only to encounter an unexpected and unpleasant chalky or sour flavor? That taste is rancidity in action, and it affects pretty much every product in your pantry. Now artificial intelligence can help scientists tackle this issue more precisely and efficiently. We're a group of chemists who study ways to extend the life of food products, including those that go rancid.

AI can now do things we used to think only humans could do. So how could this affect the world of work?

Artificial intelligence (AI) has revolutionized many industries, and healthcare is no exception. In recent years, AI has made significant strides in healthcare, from assisting doctors in diagnosing diseases to helping researchers develop new drugs. However, with the rapid advances in AI, there is growing concern about whether AI will take over healthcare jobs. Artificial Intelligence has many applications in healthcare, including medical imaging, drug discovery, and patient monitoring. One of the most significant benefits of Artificial Intelligence in healthcare is its ability to analyze vast amounts of data quickly and accurately. This allows doctors and researchers to make more informed decisions and identify patterns that would be difficult or impossible to detect manually.

Ai-Da will open her solo exhibition LEAPING INTO THE METAVERSE at the Venice Biennale this year curated by Aidan Meller. Philosophers amongst you will be familiar with the work of Rene Descartes – a mathematician, epistemologist, and rationalist – much of his work laid the ground for modern philosophy and in particular the strand that has grown out of Hobbes and Locke that informs a lot of the 17th century and the formation of states and societies thereafter. There is one eerie and unsettling aspect of his life that is gaining greater attention. Descartes had a relationship with a servant (Helen van der Strom), and their relationship produced a young daughter Francine, to whom Descartes was very attached. Tragically, Francine died of scarlet fever, aged five, and so distraught was Descartes that he had a robot or automata (clockwork, lifelike doll) built in her likeness.

If you've ever thought about what will happen when AI takes over the world (and let's be honest, who hasn't?), then you've probably also considered that artificial intelligence could take your job. Many people think proposal writing is on the list of jobs that will be automated in the near future. Some people think AI will take our jobs in the future, including proposal writing. But there's a lot of uncertainty around what exactly AI is and how it works--and that uncertainty isn't just confined to the general public. There are many scientists and researchers who are still trying to figure it all out too. Let's start with how we define artificial intelligence: An artificial intelligence system is any system capable of performing tasks that normally require human intelligence (like recognizing objects, understanding speech).

Picture the corniest sci-fi '80s TV you can imagine: filled with cheesy one-liners, fast cars, a tough action hero, and retro technology that probably felt cool at the time but now seems incredibly dated. Now, what if I told you that same show may have predicted a 21st-century technology that could revolutionize the world? That show is none other than Knight Rider, a 1980s NBC TV show featuring former detective Michael Knight, who takes on bad guys with the help of a superpowered artificially intelligent car known as Knight 2000, or KITT. As a self-driving car, KITT beat out Elon Musk's Tesla and other autonomous vehicles by decades -- even if only on the small screen. But is the portrayal of KITT on Knight Rider something more than science fiction concocted by Hollywood screenwriters?

Artificial Intelligence has already started its dominance in different spheres of our life. But, will it surpass human thinking abilities in the near future? Although technology is intended to ease our lives and everyday tasks, AI has raised some concerns. We fear that it may wipe out humanity totally in the future years. Is there any potential of assuming AI as the supreme technology? It should be able to predict the future accurately.

We now live in a world where the most powerful computing systems can argue about politics; where they can flirt, banter and manipulate; where they can advise on mental health, on relationships or on the law; and where they can do all these things as well as the most eloquent humans -- or better. For most of history we took for granted that -- gods and spirits aside -- humans were the only earthly generators of words, of ideas, of arguments, of art. Last week Blake Lemoine, an engineer at Google, was placed on leave after claiming that a computer system called LaMDA had achieved "sentience". Lemoine, 41, who is also a "mystic Christian priest", wrote that the

The project began with a vexing problem. Imaging tests that turned up unexpected issues -- such as suspicious lung nodules -- were being overlooked by busy caregivers, and patients who needed prompt follow-up weren't getting it. After months of discussion, the leaders of Northwestern Medicine coalesced around a heady solution: Artificial intelligence could be used to identify these cases and quickly ping providers. If only it were that easy. It took three years to embed AI models to flag lung and adrenal nodules into clinical practice, requiring thousands of work hours by employees who spanned the organization -- from radiologists, to human resources specialists, to nurses, primary care doctors, and IT experts. Developing accurate models was the least of their problems.