The rapid advancement of Generative Artificial Intelligence (AI), such as Large Language Models (LLMs) and Multimodal Large Language Models (MLLM), has the potential to revolutionize the way we work and interact with digital systems across various industries. However, the current state of software automation, such as Robotic Process Automation (RPA) frameworks, often requires domain expertise and lacks visibility and intuitive interfaces, making it challenging for users to fully leverage these technologies. This position paper argues for the emerging area of Human-Centered Automation (HCA), which prioritizes user needs and preferences in the design and development of automation systems. Drawing on empirical evidence from human-computer interaction research and case studies, we highlight the importance of considering user perspectives in automation and propose a framework for designing human-centric automation solutions. The paper discusses the limitations of existing automation approaches, the challenges in integrating AI and RPA, and the benefits of human-centered automation for productivity, innovation, and democratizing access to these technologies. We emphasize the importance of open-source solutions and provide examples of how HCA can empower individuals and organizations in the era of rapidly progressing AI, helping them remain competitive. The paper also explores pathways to achieve more advanced and context-aware automation solutions. We conclude with a call to action for researchers and practitioners to focus on developing automation technologies that adapt to user needs, provide intuitive interfaces, and leverage the capabilities of high-end AI to create a more accessible and user-friendly future of automation.

The extension of legacy business process automation beyond the bounds of specific processes is known as hyperautomation. Hyperautomation provides automation for nearly any repetitive action performed by business users by combining AI tools with RPA. It automates complex IT business processes that a company's top brains might not be able to complete. This is an end-to-end automation of a standard business process deployment. It enables automation to perform task digitalization by combining a brain computer interface (BCI) with AI and RPA automation tools. BCI, in conjunction with automation tools, will advance the detection and generation of automation processes to the next level. It allows enterprises to combine business intelligence systems, address complex requirements, and enhance human expertise and automation experience. Hyperautomation and its importance in today's environment are briefly discussed in this paper. The article then goes on to discuss how BCI and sensors might aid Hyperautomation. The specific sectors of solicitations were examined using a variety of flexible technologies associated to this concept, as well as dedicated workflow techniques, which are also diagrammatically illustrated. Hyperautomation is being utilized to improve the efficiency, accuracy, and human enhancement of automated tasks dramatically. It incorporates a number of automated tools in its discovery, implementation, and automation phases. As a result, it's well-suited to integrating cutting-edge technologies and experimenting with new methods of working. Keywords- Hyperautomation, Brain computer Interface (BCI), Technology, Used case, Sensors, Industries.

You've probably heard by now: AI is coming, it's about to change everything, and humanity is not ready. Artificial intelligence is passing bar exams, plagiarizing term papers, creating deepfakes that are real enough to fool the masses, and the robot apocalypse is nigh. Tesla founder Elon Musk, Apple co-founder Steve Wozniak and hundreds of AI researchers signed an open letter this week urging a pause on AI development before it gets too powerful. "A.I. could rapidly eat the whole of human culture," three tech ethicists wrote in a New York Times op-ed. A cottage industry of AI hustlers have taken to Twitter, Substack and YouTube to demonstrate the formidable potential and power of AI, racking up millions of views and shares.

Businesses of all sizes are bracing for a recession. Still, while it may sound counterintuitive, this is actually the right time to accelerate digital transformation. Historically, an economic downturn is a boon for innovation. According to Morgan Stanley, roughly half of Fortune 500 companies were founded in times of recession or economic crisis. Investing in digital transformation will help businesses overcome a slowdown and address talent shortages.

As we welcome the new year, it's natural to reflect on the year that passed and look ahead to the challenges and opportunities that lie ahead, and more specifically how new technologies might impact the insurance industry. As always, we must separate the signal from the noise. For many, artificial intelligence is a perennial buzzword, but paradoxically, it appears the technology is largely still in its infancy in the insurance industry, and especially in the home insurance space. Regulators and insurers alike are understandably grappling with challenges created by the lack of model explainability, presenting challenges for the widespread use of AI to directly evaluate and price risk for homeowners insurance in the near future. Instead, major technological innovation in homeowners insurance in the coming year will likely come from solutions and tools designed to improve the ingestion and processing of data in ways that positively impact the consumer experience throughout their homeownership journey.

Artificial intelligence (AI) has been a scorching hot topic lately, especially since the launch of ChatGPT Nov. 30. Microsoft Bing has plans to add ChatGPT to search. Some have questioned whether it's a Google killer. Bankrate is the latest example. It is having some of its content written by machines but reviewed by human editors.

With the rapid evolution of AI chatbot systems like Chat-GPT, VALL-E, and BlenderBot 3 and their growing abilities to generate text on par with human writers, robots coming to take your writing job is becoming a viable threat. On Wednesday, The Byte reported that the popular tech site appears to have employed "automation technology" to produce a series of financial explainer posts beginning in November 2022 under the byline of CNET Money Staff. It is only after clicking the byline that the site reveals that "This article was generated using automation technology and thoroughly edited and fact-checked by an editor on our editorial staff." Looks like @CNET (DR 92 tech site) just did their coming out about using AI content for SEO articles. In all, the tech site produced 73 such posts since last November on subjects such as "Should You Break an Early CD for a Better Rate?" or "What is Zelle and How Does It Work?" Since news of its activities broke at the start of the day, CNET has subsequently taken down the CNET Money Staff bio page as well as removed the "Staff" from numerous posts it had written. Using text generators isn't currently a widespread practice throughout the journalistic sphere but outlets like the Associated Press and Washington Post have used them for various low-level copywriting tasks -- the latter employing them to write about high school football and the equally unimportant 2016 Rio Olympics.

Next time you're on your favorite news site, you might want to double check the byline to see if it was written by an actual human. CNET, a massively popular tech news outlet, has been quietly employing the help of "automation technology" -- a stylistic euphemism for AI -- on a new wave of financial explainer articles, seemingly starting around November of last year. In the absence of any formal announcement or coverage, it appears that this was first spotted by online marketer Gael Breton in a tweet on Wednesday. The articles are published under the unassuming appellation of "CNET Money Staff," and encompass topics like "Should You Break an Early CD for a Better Rate?" or "What is Zelle and How Does It Work?" That byline obviously does not paint the full picture, and so your average reader visiting the site likely would have no idea that what they're reading is AI-generated.

The amount of information we have to deal with day-by-day is large enough not to be able to handle it without specialized software tools. Ordinary events we face daily, from doctor's appointments to upcoming Zoom meetings, are compiled into a system with too many variables to track and manage efficiently. Therefore, at least, the use of a simple task management app is a must nowadays. In business, the stakes are much higher. The volumes of data that constant collaboration with clients generates are too big to efficiently process them manually.

ARLINGTON, Va.--(BUSINESS WIRE)--As labor shortages and rising costs continue to cut into profit margins, restaurants are looking for ways to improve their business model--and automation is increasingly looking like a viable solution. From conversational AI drive-thrus to full-service fry cook robots, the possibilities are endless, but not all roles can be replaced. Capterra's 2022 Restaurant Automation Survey found that more than half of restaurant leaders say front-of-house restaurant workers can easily be automated with today's technology, but some disciplines remain currently irreplaceable. Most restaurants (76%) are currently using automation in three or more areas of operation and agree that certain roles are more automatable than others. Front-of-house (FOH) restaurant roles may be on the chopping block in the future, as most leaders believe that hosts, baristas, and drive-through operators can easily be replaced, and in some cases improved, by automation technology.