People rely on news to know what is happening around the world and inform their daily lives. In today's world, when the proliferation of fake news is rampant, having a large-scale and high-quality source of authentic news articles with the published category information is valuable to learning authentic news' Natural Language syntax and semantics. As part of this work, we present a News Category Dataset that contains around 210k news headlines from the year 2012 to 2022 obtained from HuffPost, along with useful metadata to enable various NLP tasks. In this paper, we also produce some novel insights from the dataset and describe various existing and potential applications of our dataset.

A website that uses machine-learning to quickly turn innocuous photos of famous and everyday women into realistic deepfake nudes is racking up howls of outrage--and millions of page views. The year-old site has garnered more than 38 million hits since the start of 2021, The Huffington Post reported, with five million in June alone, according to BBC News. HuffPo declined to name the website, but the BBC identified it as Deepsukebe, with both outlets referring to language on the site claiming its mission is to'make all men's dreams come true.' On its now-suspended Twitter page, Deepsukebe referred to itself as an'AI-leveraged nudifier.' It claims it doesn't save the fake photos it generates, but an'incentive program' rewards posters who share links of their deepfakes. Users who get enough people to click on them can'nudify' more pictures faster.

Controversial facial recognition firm Clearview AI has been found to have extensive ties to far-right individuals and movements. Clearview AI has come under scrutiny for scraping billions of photos from across the internet and storing them in a database for powerful facial recognition services. Privacy activists criticise the practice as the people in those images never gave their consent. "Common law has never recognised a right to privacy for your face," Clearview AI lawyer Tor Ekeland said recently. "It's kind of a bizarre argument to make because [your face is the] most public thing out there."

Sign up for the Week in Patriarchy, a newsletter on feminism and sexism sent every Saturday. Want to see Taylor Swift naked? It's called DeepNude and it uses AI to "undress" photos of women and produce a realistic nude image. Or rather, there was an app for that: the creators of the horrifying program took it down on Thursday after a Vice article about DeepNude catalyzed widespread outrage. "We created this project for user's entertainment a few months ago," the app's creators tweeted.

By the time an elementary school student graduates high school, 85% of future jobs will be new. What and how we learn today in schools is based on what was important around the industrial revolution, 125 years ago. For children to be ready for the future where there'll be Artificial Intelligence and Automation, they need to do what machines can't. Discover what skills are important and how to build these 3 Future Skills to not be replaced by robots. Najeeb Khan is the author of the best-selling book called Fluid: How Culture, Hidden Opportunities, and Flatter Structures Lead to Profitable Innovation.

September is almost here in Cambridge, MA and this signals a new year of serious learning and mind-blowing innovation. We are heading toward a workforce that integrates artificial intelligence (AI), cognitive computing, machine learning and virtual and immersive reality with people; a new kind of workforce diversity. And how we define the term work itself is going to shift as well. This should be the year we all truly comprehend the way our workforce and work processes are changing. If we don't, we'll be behind the curve and dealing with the consequences, which is a disengaged and frustrated workforce, workplace anxiety, a lack of clarity over who's in charge of what, and more.

Artificial intelligence (AI) has streamlined many human resource processes. These sophisticated computer programs excel at recognizing patterns, planning, and adapting in ways that mimic human thought. Unlike people, however, who can grow tired, bored, or even bring unconscious biases into their decisions, AI programs are fast, tireless, and efficient. AI is increasingly being used to automate many HR processes. Let's consider seven ways AI improves efficiency in HR.

Ride-hailing company Uber is looking to hire "dozens" of artificial intelligence researchers in Toronto after announcing it plans to open its first research facility outside the U.S.

Are you familiar with deep learning? Deep learning describes the ability for artificial intelligence (AI) algorithms to learn from our behavior using brain-like structures called neural networks, and it's changing the field of human resources in significant ways. AI programs can predict outcomes based on past experiences fed into the program. Because AI can recognize patterns and analyze data at light speed, it can help HR directors make decisions with greater confidence. From finding and recruiting prospects to streamlining employee assessment processes, machine learning and AI can make it easier for HR executives to do their jobs better--and today's technology is only the beginning.

Attracting and capturing talent has always been a challenge for startup companies. The statistics, compiled by Statistic Brain Research Institute, are grim. Candidates understand that they are taking a big risk with working for a startup. Brian Hughes, Founder and CEO at Integrity Marketing & Consulting writes for Huffington Post, "machine learning in the hiring process can even the odds of hiring great people." Leveraging technology, recruiters can use the software to screen candidate resumes for certain skills and industry keywords.