Large Language Models (LLMs) have an increasing impact on our lives with use cases such as chatbots, study support, coding support, ideation, writing assistance, and more. Previous studies have revealed linguistic biases in pronouns used to describe professions or adjectives used to describe men vs women. These issues have to some degree been addressed in updated LLM versions, at least to pass existing tests. However, biases may still be present in the models, and repeated use of gender stereotypical language may reinforce the underlying assumptions and are therefore important to examine further. This paper investigates gender biases in LLMs in relation to educational choices through an open-ended, true to user-case experimental design and a quantitative analysis. We investigate the biases in the context of four different cultures, languages, and educational systems (English/US/UK, Danish/DK, Catalan/ES, and Hindi/IN) for ages ranging from 10 to 16 years, corresponding to important educational transition points in the different countries. We find that there are significant and large differences in the ratio of STEM to non-STEM suggested education paths provided by chatGPT when using typical girl vs boy names to prompt lists of suggested things to become. There are generally fewer STEM suggestions in the Danish, Spanish, and Indian context compared to the English. We also find subtle differences in the suggested professions, which we categorise and report.

At the US Patent & Trademark Office in Alexandria, Virginia, artificial intelligence (AI) projects are expediting the patent classification process, helping detect fraud, and expanding examiners' searches for similar patents, enabling them to search through more documents in the same amount of time. And every project started with a pilot project. "Proofs of concept (PoCs) are a key approach we use to learn about new technologies, test business value assumptions, de-risk scale project delivery, and inform full production implementation decisions," says USPTO CIO Jamie Holcombe. Once the pilot proves out, he says, the next step is to determine if it can scale. Indian e-commerce vendor Flipkart has followed a similar process before deploying projects that allow for text and visual search through millions of items for customers who speak 11 different languages.

A comprehensive progress report of students studying under the Central Board of Secondary Education, which will be based on Artificial Intelligence, will soon be tested in a pilot project in 74 schools, officials aware of the development said. Dubbed the Holistic Progress Card, the initiative is envisaged under the National Education Policy 2020 for a "multidimensional progress monitoring" of school students. Once it is successfully tested, the initiative will be eventually rolled out to include all student from classes 1 to 12, an education ministry official said, requesting anonymity. The decision on the pilot project was taken during the CBSE's general body meeting in August. The board has developed a prototype for classes 1-3, which will "track the key developmental goals and competencies, as specified by the National Initiative for Proficiency in Reading with Understanding and Numeracy (NIPUN) Bharat guidelines", according to the minutes of the CBSE meeting.

YGT is operated by the green technologies division of Yinson Holdings Berhad. Under the agreement, eMooVit aims to provide an autonomous electric bus and chargEV charging system, technical support, vehicle maintenance and training sessions for Rapid Bus's employees; while Rapid Bus shall provide the test track and workshop area as well as operational support. "In addition, according to a recent statement released by General Insurance Association of Malaysia, more than 80% of road accidents in Malaysia are caused by negligence. This is of great concern and our aspiration is for AEVs to limit human errors," added Dr Hairi. Yinson Senior Vice President Electromobility Ruslin Tamsir commented, "The government launched the National Automotive Policy 2020, with the aim of enhancing the automotive industry, through research and development especially in the area of next-generation vehicles. Through our subsidiary eMooVit, Yinson is excited to work with one of Malaysia's leading bus operators, Rapid, in introducing nextgeneration vehicles like the autonomous electric bus." "This is the first autonomous electronic bus project in Malaysia, and Rapid Bus will be the first public transport operator to embark on a pilot project using this technology. The implementation of this pilot project will focus on evaluating the impact of autonomous electric buses on the urban transport system in terms of technology, social and economy," added Muhammad Yazurin Sallij, Chief Executive Officer, Rapid Bus.

Marketing is one of the areas of business operations where it is widely predicted that artificial intelligence (AI) will drive enormous change. In fact, a McKinsey study found that, along with sales, it is the single business function where it will have the most financial impact. This means that if you're a marketer and you're not using AI, you're missing out on the benefits of what is possibly the most transformational technology. Actually, though, the chances that there are people out there doing marketing today and not using AI in any shape or form is somewhat unlikely. This is simply because there are so many tools with AI features that we are used to using without even thinking about it.

NAVYA, an autonomous mobility systems leader, announces a new partnership with Inverness Campus to deploy a new project with a Navya Autonom shuttle. Inverness Campus is hosting the first Autonomous Vehicle (AV) passenger service pilot in Scotland. The AV vehicle has arrived in the Highlands and the eagerly awaited trials are now underway and will continue until March, next year. Promoting the scheme is HITRANS, the regional transport partnership for the Highlands and Islands, which is committed to encouraging multi-modal travel and moving away from private car use. HITRANS has attracted European funding – through the Planning for Autonomous Vehicles (PAV) project, funded by the Interreg North Sea Region Programme – and is working with a number of partners to deliver the project.

One of my favorite projects is also a wonderful use case to analyze if Industrial Cloud is feasible. With my background in the automotive industry and industrial automation, it should be no surprise that this relates to car part manufacturing. After joining AWS re:invent as analyst where I focused on Industrial Machine Learning and Cloud in Manufacturing, I decide to revisit this project and give you an update on this USE CASE. After a very successful pilot project to optimize the process of filling casting machines with liquid aluminum, the team was eager to bring the solution to other facilities. And with that goal in mind, the team also realized that it was necessary to automate the learning process.

A self-driving shuttle is tested in the first self-driving public transport experiment in Turin, Italy, August 9, 2022. Italy looks set to receive its first self-driving public transportation system soon, with electric-powered shuttles now hitting the roads in Turin as a pilot project for testing. The autonomous vehicle has been developed by French start-up Navya, and can carry up to 14 people (11 seated and 3 standing). However, it will be tested without passengers until October 2022. The autonomous vehicle can drive in normal urban traffic and use its GPS and other sensors to detect obstacles, cars, bicycles or pedestrians, but during this pilot project, a driver will be always be present in order to steer the vehicle if necessary using a joypad.

A majority of Axon's AI ethics board resigned in protest yesterday, following an announcement last week that the company planned to equip drones with Tasers and cameras as a way to end mass shootings in schools. The company backed down on its proposal Sunday, but the damage had been done. Axon had first asked the advisory board to consider a pilot program to outfit a select number of police departments with Taser-drones last year, and again last month. A majority of the ethics advisory board, which comprises AI ethics experts, law professors, and police reform and civil liberties advocates, opposed it both times. Advisory board chairman Barry Friedman told WIRED that Axon never asked the group to review any scenario involving schools, and that launching the pilot program without addressing previously stated concerns is dismissive of the board and its established process.

More technologically knowledgeable stakeholders and committed leadership within the federal government are critical to successfully implementing scalable artificial intelligence technology in public offices. Speaking during a virtual panel discussion, officials including Jack Shanahan, the inaugural director of the Department of Defense's Joint Artificial Intelligence Center, discussed the need for modernization advocates in federal agencies, specifically needing a "disrupter" helming the implementation of new software. "If this is really the first big AI project designed to go fast and to go to scale, you need almost a classic glass breaker type of person that's just going to plow over all those bureaucratic obstacles," he explained. He added that agency leaders and deputies need to be completely on board with new technology rollouts to help ensure that adequate oversight and accountability is present in artificial intelligence acquisitions. Shanahan also noted that more employees with a technical aptitude are vital.