Google's latest addition to its Chrome browser puts generative AI behind the wheel and you in the passenger seat. Google debuted a new "Auto Browse" feature for Chrome on Wednesday. The tool, powered by Google's current Gemini 3 generative AI model, is an AI agent designed to take over your Chrome browser to help complete online tasks like booking flights, finding apartments, and filing expenses. The release of Auto Browse is part of Google's continued integration of AI features into Chrome. Last year, Google dropped the "Gemini in Chrome" mode to answer questions about what's on web pages and synthesize details from multiple open tabs.

A video game at the centre of a debate over artificial intelligence (AI) is in the running for the top prize at next year's Bafta Game Awards. Arc Raiders, from Swedish developer Embark Studios, has been a smash-hit since its October launch, selling more than four million copies. But the multiplayer shooter has been criticised for using text-to-speech tools to create additional lines, based on dialogue previously recorded by the game's actors. It is one of 10 titles longlisted for the prestigious best game award, with a shortlist to be announced in the run-up to April's annual ceremony. Other games up for the top prize include blockbusters Ghost of Yōtei and Death Stranding 2, indie games Hollow Knight: Silksong and Hades II, and indie adventure Blue Prince.

In this paper we propose an advanced approach to integrating artificial intelligence (AI) into healthcare: autonomous decision support. This approach allows the AI algorithm to act autonomously for a subset of patient cases whilst serving a supportive role in other subsets of patient cases based on defined delegation criteria. By leveraging the complementary strengths of both humans and AI, it aims to deliver greater overall performance than existing human-AI teaming models. It ensures safe handling of patient cases and potentially reduces clinician review time, whilst being mindful of AI tool limitations. After setting the approach within the context of current human-AI teaming models, we outline the delegation criteria and apply them to a specific AI-based tool used in histopathology. The potential impact of the approach and the regulatory requirements for its successful implementation are then discussed.

Explainable AI (XAI) holds the promise of advancing the implementation and adoption of AI-based tools in practice, especially in high-stakes environments like healthcare. However, most of the current research is disconnected from its practical applications and lacks input of end users. To address this, we conducted semi-structured interviews with clinicians to discuss their thoughts, hopes, and concerns. We find that clinicians generally think positively about developing AI-based tools for clinical practice, but they have concerns about how these will fit into their workflow and how it will impact clinician-patient relations. We further identify education of clinicians on AI as a crucial factor for the success of AI in healthcare and highlight aspects clinicians are looking for in (X)AI-based tools. In contrast to other studies, we take on a holistic and exploratory perspective to identify general requirements, which is necessary before moving on to testing specific (X)AI products for healthcare.

The integration of artificial intelligence (AI) in educational measurement has revolutionized assessment methods, enabling automated scoring, rapid content analysis, and personalized feedback through machine learning and natural language processing. These advancements provide timely, consistent feedback and valuable insights into student performance, thereby enhancing the assessment experience. However, the deployment of AI in education also raises significant ethical concerns regarding validity, reliability, transparency, fairness, and equity. Issues such as algorithmic bias and the opacity of AI decision-making processes pose risks of perpetuating inequalities and affecting assessment outcomes. Responding to these concerns, various stakeholders, including educators, policymakers, and organizations, have developed guidelines to ensure ethical AI use in education. The National Council of Measurement in Education's Special Interest Group on AI in Measurement and Education (AIME) also focuses on establishing ethical standards and advancing research in this area. In this paper, a diverse group of AIME members examines the ethical implications of AI-powered tools in educational measurement, explores significant challenges such as automation bias and environmental impact, and proposes solutions to ensure AI's responsible and effective use in education.

In today's digital age, AI has become an increasingly useful tool for a variety of tasks, including writing. Whether you're a novelist, journalist, or student, AI can really help you improve your writing skills. In this article, we will explore some of the ways in which you can use AI to enhance your writing skills and improve the quality of your work. Also, We have made you a list of some Free AI Writing Tools to get you started right away with some tips to keep in mind while using these AI Writing Tools. The term "AI" has become increasingly prevalent in both home and office settings. You may have heard your friends or family members talking about how they are using AI to improve their writing skills, or you may have seen it mentioned in an article or on social media. But what exactly is AI?. In simple terms, AI is a computer program that is designed to learn and improve its performance over time.

Artificial Intelligence (or AI) is being used increasingly in many critical business operations in all sectors. While you may think of AI being most effective at technical work, such as manufacturing or computing, it is also becoming proficient at understanding subjective human drives and desires. You can see this in the algorithms on sites and apps like TikTok, YouTube, and Spotify, which analyse your activity in order to create personalised recommendations tailored to your personality. It is no wonder, then, that AI is being used more and more for marketing and advertising purposes. AI-based tools can help generate ideas for ads in all media formats, find the right audience to target with ads and marketing campaigns, and generate specific campaigns for each individual based on their data.

Ai is becoming more prevalent in the healthcare sector. India’s economy is expected to reach $1 trillion by 2035. AI spending in India increased by more than 109% in 2018, totaling $665 million. Artificial intelligence (AI) is becoming more prevalent in the workplace and is now being used in healthcare applications. The increase in healthcare data implies greater use of Artificial Intelligence (AI). Early disease diagnosis, drug design, drug trials, diabetic retinopathy, cancer treatments, cardiovascular disease, and eye care are some of the key areas where Artificial Intelligence is being...

Three of every four companies have reported talent or labor shortages and difficulty hiring–a 16-year high. Profound social, economic and demographic changes have created unmet demands for workers in industries ranging from hospitality to logistics to healthcare. Executives across sectors are struggling to attract and retain talent and it's likely that labor shortages will remain a critical issue for many organizations moving forward. However, the rapid advances in artificial intelligence (AI) have the potential to significantly disrupt labor markets. Leading organizations are using AI technologies to reduce the impact of labor shortages and improve their competitive position, while also saving on costs. Here's how they're putting AI and big data to use: Some say a non-supportive and unpleasant work environment is the reason their employees quit, creating labor shortages.

A new innovative tool that can be used to predict the effects of immunotherapy on patients suffering from lung cancer is under development at Shaare Zedek Medical Center, the Jerusalem hospital announced Tuesday. The AI (artificial intelligence)-based technology, named I3LUNG, will make use of machine and deep learning to analyze a wide variety of patient information in order to formulate a treatment plan that is suited to the specific medical situation of every patient. The development of the new innovation is funded by the European Union's Horizon 2020 research and innovation funding program, which Israel joined in 2021. Shaare Zedek was chosen to become the first and only Israeli hospital to receive such a grant. The goal, the medical center says, is to create a new tool to enhance the decision-making of medical staff and patients during the treatment of lung cancer.