Neural Information Processing Systems http://nips.cc/

Neural Information Processing Systems http://nips.cc/

Text-to-Image (TTI) models are powerful creative tools but risk amplifying harmful social biases. We frame representational societal bias assessment as an image curation and evaluation task and introduce a pilot benchmark of occupational portrayals spanning five socially salient roles (CEO, Nurse, Software Engineer, Teacher, Athlete). Using five state-of-the-art models: closed-source (DALLE 3, Gemini Imagen 4.0) and open-source (FLUX.1-dev, Stable Diffusion XL Turbo, Grok-2 Image), we compare neutral baseline prompts against fairness-aware controlled prompts designed to encourage demographic diversity. All outputs are annotated for gender (male, female) and race (Asian, Black, White), enabling structured distributional analysis. Results show that prompting can substantially shift demographic representations, but with highly model-specific effects: some systems diversify effectively, others overcorrect into unrealistic uniformity, and some show little responsiveness. These findings highlight both the promise and the limitations of prompting as a fairness intervention, underscoring the need for complementary model-level strategies. We release all code and data for transparency and reproducibility https://github.com/maximus-powers/img-gen-bias-analysis.

A health crisis is raging all over the world with the rapid transmission of the novel-coronavirus disease (Covid-19). Out of the guidelines issued by the World Health Organisation (WHO) to protect us against Covid-19, wearing a facemask is the most effective. Many countries have necessitated the wearing of face masks, but monitoring a large number of people to ensure that they are wearing masks in a crowded place is a challenging task in itself. The novel-coronavirus disease (Covid-19) has already affected our day-to-day life as well as world trade movements. By the end of April 2021, the world has recorded 144,358,956 confirmed cases of novel-coronavirus disease (Covid-19) including 3,066,113 deaths according to the world health organization (WHO). These increasing numbers motivate automated techniques for the detection of a facemask in real-time scenarios for the prevention of Covid-19. We propose a technique using deep learning that works for single and multiple people in a frame recorded via webcam in still or in motion. We have also experimented with our approach in night light. The accuracy of our model is good compared to the other approaches in the literature; ranging from 74% for multiple people in a nightlight to 99% for a single person in daylight.

The deposed tech CEO returning to his company triumphant is enough of a Silicon Valley trope that they made it part of the HBO sitcom literally called Silicon Valley. Thomas Middleditch's character wants to build a consumer-facing product, and his startup's board of directors wants to sell to businesses, and Middleditch's character gets fired and goes away until the board is ready to do what he wants. He comes back after a few weeks, probably, although it's hard to say on account of it not being real. More famously, Steve Jobs left Apple in 1985 after a board struggle that resulted in his being pushed out. Jobs needed 12 years, and Apple's decision to buy a company he'd started in the meantime, to come home in 1997.

Just as asking a single person about their health will provide tailored, personalized information impossible to glean from a large poll, an individual cell's genome or transcriptome can provide much more information about their place in living systems than sequencing a whole batch of cells. But until recent years, the technology didn't exist to get that high resolution genomic data--and until today, there wasn't a reliable way to ensure the high quality and usefulness of that data. Researchers from the University of North Carolina at Charlotte, led by Dr. Weijun Luo and Dr. Cory Brouwer, have developed an artificial intelligence algorithm to "clean" noisy single-cell RNA sequencing (scRNA-Seq) data. The study, "A Universal Deep Neural Network for In-Depth Cleaning of Single-Cell RNA-Seq Data," was published in Nature Communications on April 7, 2022. From identifying the specific genes associated with sickle cell anemia and breast cancer to creating the mRNA vaccines in the ongoing COVID-19 pandemic, scientists have been searching genomes to unlock the secrets of life since the Human Genome Project of the 1990s.

"Design" probably brings to mind various professions dealing with design of form, such as industrial design, graphic design and interior design. But the term design is also used in other form-creation disciplines, such as architecture and software-related technology. In technology, you have user interface design, interaction design and user experience design. I do not often encounter software engineers self-styled as "designers." However, when I hang out with people in the various related disciplines of user experience, calling oneself a "designer" is perfectly fine -- there is an atmosphere of design of form.

With the time and effort it requires, sometimes dating can feel like a job––but, unfortunately, saying that you're single does nothing for your résumé. Here are a few ways to adapt your dating experiences into professional, C.V.-worthy titles and descriptions. Selecting from a mix of seasoned stars and aspiring hopefuls, I judge the performance and competence of prospects vying for the role. They audition for me, and I insure that only the most talented move forward. I am in charge of seeking out and acquiring the best partnerships for the brand.

There are well-documented examples of AI systems making decisions that affect protected classes, such as housing assistance or unemployment benefits. AI can be used to screen resumes; banks apply AI models to grant individual consumers credit and set interest rates for them. Many small decisions, taken together, can have large effects, such as: AI-driven price discrimination could lead to certain groups in a society consistently paying more. But are there AI applications today that affect everyone, no matter their "class"? As I mentioned earlier, we are shifting our AI Ethics courses to more practical, useful techniques.

This article is part 2 of a series reviewing selected papers from Altmetric's list of the top 100 most-discussed scholarly works of 2019. Deepfake is a term for videos and presentations enhanced by artificial intelligence and other modern technology to present falsified results. One of the best examples of deepfakes involves the use of image processing to produce video of celebrities, politicians or others saying or doing things that they never actually said or did. A September 2019 Deeptrace report1 on the state of deepfakes has found that since its emergence in late 2017, the phenomenon of deepfakes has been developing very quickly, with rapidly growing societal impact and technological sophistication. At the time of report publication, there were 14,678 deepfake videos online, 96% of which had pornographic content. While their use in a pornographic context continues to grow, deepfakes are also increasingly being used for the purpose of political disinformation.