The complexity of automating bias evaluation in textual content poses significant challenges. Traditional approaches in social sciences, such as content analysis, often rely on manual word counts from static lists [Gaucher et al., 2011], which may miss the subtleties and unlisted language cues that advanced NLP technologies can detect.

After sending out more than 100 applications, I learned the robots are no longer satisfied with taking our jobs--they also want to prevent us from getting new ones. I got laid off five months ago. Every morning I drink a pot of coffee while I write cover letters, tweak my résumé, and submit job applications into the abyss, knowing they will likely never be seen by human eyes--only crawled by the cold, lifeless algorithms of an artificial intelligence. I feel like General Zod from, floating off into space trapped inside a two-dimensional phantom zone, screaming in silence about my job qualifications and core competencies. The job market is a mess.

In July, software engineer Julian Joseph became the latest victim of the tech industry's sweeping job cuts. Facing his second layoff in two years, he dreaded spending another couple months hunched over his laptop filling out repetitive job applications and blasting them into the void. Joseph specializes in user interface automation and figured someone must have roboticized the unpleasant task of applying for jobs. Casting about online, he came upon a company called LazyApply. It offers an AI-powered service called Job GPT that promises to automatically apply to thousands of jobs "in a single click."

CyberGuy shows you how to manage your online presence. The job search landscape has transformed dramatically in just a few years. Gone are the days when applying for jobs was a part-time endeavor. Nowadays, it's practically a full-time job, especially if you're out of work and have to document your efforts to claim unemployment benefits. The experience can be overwhelming, but fortunately, technology--particularly artificial intelligence (AI)--is here to help streamline the process.

Computer programs that are used to detect essays, job applications and other work generated by artificial intelligence can discriminate against people who are non-native English speakers, researchers say. Tests on seven popular AI text detectors found that articles written by people who did not speak English as a first language were often wrongly flagged as AI-generated, a bias that could have a serious impact on students, academics and job applicants. With the rise of ChatGPT, a generative AI program that can write essays, solve problems and create computer code, many teachers now consider AI detection as a "critical countermeasure to deter a 21st-century form of cheating", the researchers say, but they warn that the 99% accuracy claimed by some detectors is "misleading at best." Alex Hern's weekly dive in to how technology is shaping our lives Scientists led by James Zou, an assistant professor of biomedical data science at Stanford University, ran 91 English essays written by non-native English speakers through seven popular GPT detectors to see how well the programs performed. More than half of the essays, which were written for a widely recognised English proficiency test known as the Test of English as a Foreign Language, or TOEFL, were flagged as AI-generated, with one program flagging 98% of the essays as composed by AI.

Companies in Japan are concerned about students' use of generative artificial intelligence in job applications, a Jiji Press survey has found. "Accurately grasping students' personalities from their employment applications created by generative AI would be difficult," an employee of a major transportation company said. The questionnaire survey covered around 60 major domestic companies, with responses having been received from 38 of them as of June 14. This could be due to a conflict with your ad-blocking or security software. Please add japantimes.co.jp and piano.io to your list of allowed sites.

Due to the increasing number of graduates, many applicants experience the situation about finding a job, and employers experience difficulty filtering job applicants, which might negatively impact their effectiveness. However, most job-hunting websites lack job recommendation and CV filtering or ranking functionality, which are not integrated into the system. Thus, a smart job hunter combined with the above functionality will be conducted in this project, which contains job recommendations, CV ranking and even a job dashboard for skills and job applicant functionality. Job recommendation and CV ranking starts from the automatic keyword extraction and end with the Job/CV ranking algorithm. Automatic keyword extraction is implemented by Job2Skill and the CV2Skill model based on Bert. Job2Skill consists of two components, text encoder and Gru-based layers, while CV2Skill is mainly based on Bert and fine-tunes the pre-trained model by the Resume- Entity dataset. Besides, to match skills from CV and job description and rank lists of jobs and candidates, job/CV ranking algorithms have been provided to compute the occurrence ratio of skill words based on TFIDF score and match ratio of the total skill numbers. Besides, some advanced features have been integrated into the website to improve user experiences, such as the calendar and sweetalert2 plugin. And some basic features to go through job application processes, such as job application tracking and interview arrangement.

When the first capable version of ChatGPT was released in November 2022, professors across the internet bemoaned the death of the undergraduate essay as a method to assess students. The Atlantic called the moment a "textpocalypse" and a writer from The New York Times said he was "deeply unsettled" following a conversation with Bing's integrated AI chatbot. ChatGPT, unlike earlier chatbots, has the capacity to generate coherent, long-form writing. ChatGPT has upended what it means to write. But, upon further analysis, it may not be the game-changer for writing or other industries that the world initially envisioned.

It was once thought physical labor jobs would be the most at risk from the rise of artificial intelligence. But recent advances suggest we can expect disruption across a vast range of sectors, including knowledge-based industries. We certainly need to have conversations about how AI will change the future of work. But perhaps we should also look beyond fear and ask how it might bring opportunity. It's expected that within five years AI will have replaced some 85 million jobs with 97 million new ones.