In early 1993, Shuhei Yoshida joined Sony's nascent PlayStation division as a business development guy – the first member of the team who didn't have an engineering background. When he was working with Ken Kutaragi and the other architects of the original PlayStation, and later producing games from Crash Bandicoot and Gran Turismo alongside game development legends Mark Cerny and Kazunori Yamauchi, he freely admits that he could scarcely believe his luck. When I speak to him, on the eve of receiving Bafta's prestigious fellowship award for his contribution to video games, he still seems endearingly surprised by his own success. "The people who have received [this award] before are all creators! I don't know how I fit in," he says.

Popular AI chatbots like ChatGPT and Bard have been designed to replicate human speech as closely as possible. And as deep learning technology gets more and more sophisticated, it's becoming difficult to discern these computer models from real people. Now, a free online game gives you two minutes to have a conversation with someone (or something) and guess whether they're a fellow human or an AI. 'Human or not?' was inspired by the Turing Test, devised by legendary British computer scientist Alan Turing in 1950. A computer passes the so-called test when someone cannot correctly tell the difference between a response from a human and a response from an AI.

In the era of social media, people frequently share their own opinions online on various issues and also in the way, get exposed to others' opinions. Be it for selective exposure of news feed recommendation algorithms or our own inclination to listen to opinions that support ours, the result is that we get more and more exposed to opinions closer to ours. Further, any population is inherently heterogeneous i.e. people will hold a varied range of opinions regarding a topic and showcase a varied range of openness to get influenced by others. In this paper, we demonstrate the different behavior put forward by open- and close-minded agents towards an issue, when allowed to freely intermix and communicate. We have shown that the intermixing among people leads to formation of opinion echo chambers i.e. a small closed network of people who hold similar opinions and are not affected by opinions of people outside the network. Echo chambers are evidently harmful for a society because it inhibits free healthy communication among all and thus, prevents exchange of opinions, spreads misinformation and increases extremist beliefs. This calls for reduction in echo chambers, because a total consensus of opinion is neither possible nor is welcome. We show that the number of echo chambers depends on the number of close-minded agents and cannot be lessened by increasing the number of open-minded agents. We identify certain 'moderate'-minded agents, who possess the capability of manipulating and reducing the number of echo chambers. The paper proposes an algorithm for intelligent placement of moderate-minded agents in the opinion-time spectrum by which the opinion echo chambers can be maximally reduced. With various experimental setups, we demonstrate that the proposed algorithm fares well when compared to placement of other agents (open- or close-minded) and random placement of 'moderate'-minded agents.

I was lunching with a group of fellow professors, and, as happens these days when we assemble, generative artificial intelligence was discussed. Are your students using it? What are you doing to prevent cheating? Heads were shaken in chagrin as iced teas were sipped for comfort. But then, one of my colleagues wondered: Could he use AI to generate a reference letter for a student?

Figuring out how humans and robots can collaborate to effectively carry out tasks together is a rapidly growing area of interest. For successful collaboration between humans and robots, communication is key.

Recently, Deep Neural Networks (DNNs) have been widely introduced into Collaborative Filtering (CF) to produce more accurate recommendation results due to their capability of capturing the complex nonlinear relationships between items and users.However, the DNNs-based models usually suffer from high computational complexity, i.e., consuming very long training time and storing huge amount of trainable parameters. To address these problems, we propose a new broad recommender system called Broad Collaborative Filtering (BroadCF), which is an efficient nonlinear collaborative filtering approach. Instead of DNNs, Broad Learning System (BLS) is used as a mapping function to learn the complex nonlinear relationships between users and items, which can avoid the above issues while achieving very satisfactory recommendation performance. However, it is not feasible to directly feed the original rating data into BLS. To this end, we propose a user-item rating collaborative vector preprocessing procedure to generate low-dimensional user-item input data, which is able to harness quality judgments of the most similar users/items. Extensive experiments conducted on seven benchmark datasets have confirmed the effectiveness of the proposed BroadCF algorithm

Fox News correspondent Grady Trimble has the latest on fears the technology will spiral out of control on'Special Report.' A German artist who won a major prize for photography has turned down the award after revealing his work was created with help from artificial intelligence (AI). Photographer Boris Eldagsen won the creative category of the open competition for the Sony World Photography Awards 2023 with his "photograph," titled "Pseudomnesia: The Electrician." The image, which depicted an older woman holding a younger in black and white, was "the first AI generated image to win in a prestigious international Photography competition," Eldagsen said in a statement posted on his website. "How many of you knew or suspected that it was AI generated? Something about this doesn't feel right, does it? "AI images and photography should not compete with each other in an award like this.

Scottsdale resident Payton Bock and her mother DeLynne joined'Fox & Friends First' to discuss the incident and broader concerns surrounding the rise of artificial intelligence. An Arizona family is speaking out to raise awareness surrounding the dangers of artificial intelligence after they were allegedly targeted by a fake ransom call in which scammers used voice-cloning as bait. Viral TikToker Payton Bock and her mother DeLynne recalled the harrowing incident during "Fox & Friends First," detailing how the "life-changing" scam impacted their family. "It was super scary," DeLynne told Todd Piro Tuesday. "My husband actually took the phone call, and I was outside. He came out with this man on speakerphone using all kinds of foul language, screaming and yelling, saying that my daughter had hit him in a vehicle accident situation."

Yann LeCun is one of the "godfathers of AI." He must be wicked smart, because he won the Turing Prize in 2018 (together with the other two "godfathers," Yoshua Bengio and Geoffrey Hinton). The prize is named after polymath Alan Turing. It is sometimes called the Nobel Prize for computer scientists. Like many other AI researchers, LeCun is rich because he works for Meta (formerly Facebook) and has a big financial stake in the latest AI technology being pushed on humanity as broadly and quickly as possible. But that's ok, because he knows he is doing what is best for the rest of us, even if we sometimes fail to recognize it. LeCun is a techno-optimist -- an amazingly fervent one, in fact. He believes that AI will bring about a new Renaissance, and a new phase of the Enlightenment, both at the same time. Sadly, LeCun is feeling misunderstood. In particular, he is upset with the unwashed masses who are unappreciative and ignorant (as he can't stop pointing out). Imagine: these luddites want to regulate AI research before it has actually killed anyone (or everyone, but we'll come to that). Worse, his critics' "AI doom" is "causing a new form of medieval obscurantism." Nay, people critical of AI are "indistinguishable from an apocalyptic religion." A witch hunt for AI nerds is on! The situation is dire for silicon-valley millionaires. The new renaissance and the new enlightenment are both at stake. The interesting thing is: LeCun is not entirely wrong. There is a lot of very overblown rhetoric and, more specifically, there is a rather medieval-looking cult here. But LeCun is deliberately indistinct about where that cult comes from. His chosen tactic is to put a lot of very different people in the same "obscurantist" basket. First off: it is not those who want to regulate AI who are the cultists. In fact, these people are amazingly reasonable: you should go and read their stuff. Go and do it, right now! Instead, the cult manifests among people who completely hyperbolize the potential of AI, and who tend to greatly overestimate the power of technology in general. Let's give this cult a name.

The winner of a Sony World Photography Award has refused to accept the prize after revealing the winning photo he submitted was created using an artificial intelligence image generator. The Berlin-based German photographer Boris Eldagsen won the Creative category of the award's 2023 Open competition, and was garlanded at a ceremony on 13 April in London. The award is considered one of photography's most prestigious honours. By entering a computer-generated image to a traditional photography prize, and then subsequently refusing to accept the ensuing award, Eldagsen claims he hopes to "drive debate" about a technology that is poised to dramatically alter how we define and understand photorealist imagery. Eldagsen's winning image, Pseudomnesia: The Electrician, was created using DALL-E 2, an image generator developed by OpenAI, the San Francisco-based company that also created the AI chatbot ChatGPT.