Several AI chatbots designed for fantasy and sexual role-playing conversations are leaking user prompts to the web in almost real time, new research seen by WIRED shows. Some of the leaked data shows people creating conversations detailing child sexual abuse, according to the research. Conversations with generative AI chatbots are near instantaneous--you type a prompt and the AI responds. If the systems are configured improperly, however, this can lead to chats being exposed. In March, researchers at the security firm UpGuard discovered around 400 exposed AI systems while scanning the web looking for misconfigurations.

The representation of gender within visual culture has been a fertile ground for critical inquiry, particularly within feminist scholarship. Griselda Pollock's seminal work, Vision and Difference (1988) [2], established a foundational framework for understanding how visual representations of women in art are not merely aesthetic choices, but are deeply intertwined with societal power dynamics and gender ideologies. Pollock's analysis demonstrates how these r epresentations often function as "signs" that reinforce traditional gender roles and limit female agency, inspiring generations of scholars to scrutinize the ways visual culture shapes our understanding of gender and other social identities. This theoretic al framework provides a critical lens through which to examine potential biases in AI -generated art and its impact on contemporary representations of gender. Following Pollock's groundbreaking work, feminist scholarship in visual culture has con nued to evolve and expand.

The role of the artist in creative endeavour has been a much-discussed topic due to recent artwork produced by AI programs such as Midjourney and DALL-E, including a controversial prize winner in Colorado this week. These programs are using artificial intelligence or diffusion machine learning to produce beautiful images. But is it art, and will it put human artists out of a job? Jason Allen's work, Théâtre D'opéra Spatial, created using AI, won a fine art prize in Colorado.Credit:Jason Allen The question "what is art?" has been seminal in the art world for decades. When Australia acquired Blue Poles, critics accused Jackson Pollock of throwing paint at the canvas while drunk.

Whether an artist, scientist, or film director, trailblazers in particular fields often have a critically-acclaimed'hot streak' where they produce a series of outstanding work in short succession. Now, scientists at Northwestern University in Illinois claim to have pinpointed the secret formula that often triggers a pioneer's best work. Using a form of artificial intelligence (AI) called deep learning, they mined data related to thousands of artists, film directors and scientists to identify a magical formula for success. Hot streaks directly result from years of'exploration' (studying diverse styles or topics), immediately followed by years of'exploitation' (focusing on a narrow area to develop deep expertise), they claim. They define a hot streak as a burst of high-impact works clustered together in close succession – as achieved by artists such as Vincent Van Gogh and Jackson Pollock, or film directors like Peter Jackson or Alfred Hitchcock.

Defeasible reasoning is the mode of reasoning where conclusions can be overturned by taking into account new evidence. A commonly used method in philosophy and AI literature is to handcraft argumentation supporting inference graphs. While humans find inference graphs very useful for reasoning, constructing them at scale is difficult. In this paper, we automatically generate such inference graphs through transfer learning from another NLP task that shares the kind of reasoning that inference graphs support. Through automated metrics and human evaluation, we find that our method generates meaningful graphs for the defeasible inference task. Human accuracy on this task improves by 20% by consulting the generated graphs. Our findings open up exciting new research avenues for cases where machine reasoning can help human reasoning. (A dataset of 230,000 influence graphs for each defeasible query is located at: https://tinyurl.com/defeasiblegraphs.)

On Human IPO, a marketplace for investing in people, Tristan Pollock is currently trading at $180--up 20 percent from his debut price. "I'm looking at my dashboard now, and it looks like 12 people have bought time with me so far," he says. "One has almost 30 percent." Pollock, a startup investor, "went public" on Human IPO earlier this month. The platform lets people sell up to 500 hours of their time on the open market, at one hour per "share," at a price of their choosing.

A workshop on defeasible reasoning with specificity was held under the arch in St. Louis during April 1989, with support from AAAI and McDonnell Douglas, and the assistance of Rockwell Science Center Palo Alto and the Department of Computer Science of Washington University. The workshop brought together proposers of systems of nonmonotonic or defeasible reasoning that exhibited subclass or specificity defeat. There were twenty invited participants. The program committee (David Etherington, Hector Geffner, and David Poole) also invited an equal number of participants from those responding to the call for participation. One third of the attendees of the workshop came from abroad.

Gabrielle Douglas of the United States of America competes on the balance beam in the Artistic Gymnastics Women's Team final in the London 2012 Olympic Games. Steve Penny resigned as USA Gymnastics president last Thursday, following accusations of negligence in the sport's yearslong sexual assault scandal. Our eyes turned abroad last week, as Secretary of State Rex Tillerson visited South Korea and said "the policy of strategic patience has ended" for its neighbors to the north; the White House said it wouldn't repeat false claims that a British electronic intelligence agency helped with alleged (unproven) wiretapping of Trump Tower; and German Chancellor Angela Merkel, delayed by the snow, finally made her first visit to President Donald Trump, complete with an awkward handshake that wasn't. At home, a Hawaii judge also said "not so fast" to Trump's revised travel ban that for the second time looked to restrict which people can enter the country. Here are five stories -- that have nothing to do with Trump, Tillerson or The Spokesperson In Chief -- you might have missed in all of the globetrotting.

It's increasingly common to use artificial intelligence (AI) in art. Google has popularized this process with its platform, Deep Dream Generator. What began as a way to help engineers and scientists understand artificial neural networks, a form of AI, has blossomed as a means to create art, producing images that have been described as "trippy" and "psychedelic." Outside of Deep Dream, artists are using other forms of AI to produce portraits, landscapes and abstract works of art. AI has made significant strides since the 1950s, when it became established as a field.

Believability requires video game characters to consider their actions within the context of social norms. Social norms involve a broad range of behavioral defaults, obligations, and injunctions unrelated to strictly causal reasoning.  Defeasible reasoning involves rationally compelling but deductively invalid arguments, such as reasoning with rules that allow exceptions. This paper investigates having video game characters use defeasible reasoning to consider injunctive social norms when selecting and planning actions.