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"Anouk van Maris, a robot cognition specialist who is researching ethical human-robot interaction, has found that comfort levels with robots vary greatly depending on location and culture. "It depends on what you expect from it. Some people love it, others want to run away as soon as it starts moving," she says. "The advantage of a robot that looks human-like is that people feel more comfortable with it being close to them, and it is easier to communicate with it. The big disadvantage is that you expect it to be able to do human things and it often can't.""

"Google, which recently laid off thousands of employees globally, is now laying off the robots that cleaned cafeterias at its headquarters. A report by Wired recently said that Alphabet's "Everyday Robots" project - a unit under Google's experimental X laboratories - has been shut down by Google's chief executive officer (CEO) Sundar Pichai."

"Google has announced a new control in its robots.txt indexing file that would let publishers decide whether their content will "help improve Bard and Vertex AI generative APIs, including future generations of models that power those products." The control is a crawler called Google-Extended, and publishers can add it to the file in their site's documentation to tell Google not to use it for those two APIs. In its announcement, the company's vice president of "Trust" Danielle Romain said it's "heard from web publishers that they want greater choice and control over how their content is used for emerging generative AI use cases.""

"Unskilled manual laborers have felt the pressure of automation for a long time - but, increasingly, they're not alone. The last few years have been a bonanza of advances in artificial intelligence. As our software gets smarter, it can tackle harder problems, which means white-collar and pink-collar workers are at risk as well. Here are eight jobs expected to be automated (partially or entirely) in the coming decades. Call Center Employees call-center Telemarketing used to happen in a crowded call center, with a group of representatives cold-calling hundreds of prospects every day. Of those, maybe a few dozen could be persuaded to buy the product in question. Today, the idea is largely the same, but the methods are far more efficient. Many of today's telemarketers are not human. In some cases, as you've probably experienced, there's nothing but a recording on the other end of the line. It may prompt you to "press '1' for more information," but nothing you say has any impact on the call - and, usually, that's clear to you. But in other cases, you may get a sales call and have no idea that you're actually speaking to a computer. Everything you say gets an appropriate response - the voice may even laugh. How is that possible? Well, in some cases, there is a human being on the other side, and they're just pressing buttons on a keyboard to walk you through a pre-recorded but highly interactive marketing pitch. It's a more practical version of those funny soundboards that used to be all the rage for prank calls. Using soundboard-assisted calling - regardless of what it says about the state of human interaction - has the potential to make individual call center employees far more productive: in some cases, a single worker will run two or even three calls at the same time. In the not too distant future, computers will be able to man the phones by themselves. At the intersection of big data, artificial intelligence, and advanced

"But what will robot cars be programmed to do when there's lots of them on the roads, and they're networked with one another? We know what we as individuals would like. My car should take as its Prime Directive: "Prevent my passengers from coming to harm." But when the cars are networked, their Prime Directive well might be: "Minimize the amount of harm to humans overall." "

"These ranged from the mundane (Facebook may change its terms of service at any time) to a reminder that Facebook may store and process your data anywhere in the world, meaning it might be subject to different data protection laws. When scanning license agreements from Google, Do Not Sign told me the company reserves the right to stop providing its services at any time and that its services are used at the users' sole risk."

"His immediate concern is that the internet will be flooded with false photos, videos and text, and the average person will "not be able to know what is true anymore." He is also worried that AI technologies will in time upend the job market. Today, chatbots such as ChatGPT tend to complement human workers, but they could replace paralegals, personal assistants, translators and others who handle rote tasks. "It takes away the drudge work," he said. "It might take away more than that." Down the road, he is worried that future versions of the technology pose a threat to humanity because they often learn unexpected behavior from the vast amounts of data they analyze. This becomes an issue, he said, as individuals and companies allow AI systems not only to generate their own computer code but actually to run that code on their own. And he fears a day when truly autonomous weapons - those killer robots - become reality."

"The development of autonomous military systems - dubbed "killer robots" by campaigners opposed to them - is deeply contentious. Earlier this year, Google withdrew from the Pentagon's Project Maven, which uses machine learning to analyse video feeds from drones, after ethical objections from the tech giant's staff. The government insists it "does not possess fully autonomous weapons and has no intention of developing them". But, since 2015, the UK has declined to support proposals put forward at the UN to ban them. Now, using government data, Freedom of Information requests and open-source information, a year-long investigation reveals that the MoD and defence contractors are funding dozens of artificial intelligence programmes for use in conflict."

"The camera never lies. Except, of course, it does - and seemingly more often with each passing day. In the age of the smartphone, digital edits on the fly to improve photos have become commonplace, from boosting colours to tweaking light levels. Now, a new breed of smartphone tools powered by artificial intelligence (AI) are adding to the debate about what it means to photograph reality. Google's latest smartphones released last week, the Pixel 8 and Pixel 8 Pro, go a step further than devices from other companies. They are using AI to help alter people's expressions in photographs. It's an experience we've all had: one person in a group shot looks away from the camera or fails to smile. Google's phones can now look through your photos to mix and match from past expressions, using machine learning to put a smile from a different photo of them into the picture. Google calls it Best Take. "

" Kurzweil believes that "medical robots will go inside our brain and connect our neo-cortex to the smart cloud," and that's all slated to happen by 2029."