The majority of industries have an image problem. People want to hire the smartest out of the bunch. The person who fits the job role. The person who looks the part. The person who has specific physical attributes that are going to impress clients and competitors.

Women are the key piece to the puzzle of realizing the highest maturity levels of digital enterprises, but unless we realize this, our progress in AI and technology will remain stagnant. To close the gender gap in science, technology, engineering, and math (STEM) and to accelerate advances in artificial intelligence and the sciences, we must encourage and support women on all levels, from the government to enterprise and establish equal employment opportunities for all. Women make up a fraction of the artificial intelligence workforce, whether in the form of research and development or as employees at technology inclined firms. According to the World Economic Forum, "Non-homogeneous teams are more capable than homogenous teams of recognizing their biases and solving issues when interpreting data, testing solutions or making decisions." In other words, diverse teams and especially those that emphasize women at their epicenter, are a necessary provision for enterprises to adopt, build, realize and accelerate enterprise AI maturity levels.

As an open and collaborative knowledge graph created by users and bots, it is possible that the knowledge in Wikidata is biased in regards to multiple factors such as gender, race, and country of citizenship. Previous work has mostly studied the representativeness of Wikidata knowledge in terms of genders of people. In this paper, we examine the race and citizenship bias in general and in regards to STEM representation for scientists, software developers, and engineers. By comparing Wikidata queries to real-world datasets, we identify the differences in representation to characterize the biases present in Wikidata. Through this analysis, we discovered that there is an overrepresentation of white individuals and those with citizenship in Europe and North America; the rest of the groups are generally underrepresented. Based on these findings, we have found and linked to Wikidata additional data about STEM scientists from the minorities. This data is ready to be inserted into Wikidata with a bot. Increasing representation of minority race and country of citizenship groups can create a more accurate portrayal of individuals in STEM.

In September Lucrezia started a new two-year course at Queen Mary -- a master degree apprentice as a digital and technology solutions specialist. This is a vocational course and Lucrezia is doing an apprenticeship with Siemens Mobility, the transport division of the German multinational engineering company. In her apprenticeship she uses her AI and engineering skills.

Sarah Burnett, Vice President at Everest Group, Computer Weekly top 30 influential women in IT, chair of BCS Women and founder of WISE members, BCSWomen AI Accelerator In March this year, I launched the new Artificial Intelligence (AI) Accelerator for WISE members, BCSWomen to make AI more relevant to women and encourage more females into computing. Just … Continue reading "Artificial intelligence – the greatest opportunity for women?"

What do you picture when you think of a robot? That's the first question asked by "The Robot Doctor" -- a new series created by Carnegie Mellon University educators, RobotWits, the Pennsylvania Rural Robotics Initiative and WQED. Airing on PBS stations across Pennsylvania, the eight-episode program is geared toward high school students who may lack access to a computer during school closures, and who live in underresourced areas with limited STEM opportunities. "We're going to explore how robots solve the problems that allow them to be useful in the world. We'll do this with nothing more than the math concepts you may already know: geometry, trigonometry, basic algebra and a few concepts from physics," Jonathan Butzke says in the first episode. Butzke, an alumnus of CMU's Robotics Institute, hosts the show and is lead robotics researcher for RobotWits.

In light of International Women's Day celebrations this past weekend, we acknowledged the beauty, essence and power of women to achieve and thrive in the global ecosystem. Yet in our modern digital age, women continue to be neglected on multiple fronts, especially that of the new workforce. It is society's role to ensure that all females are given equal opportunities to grow in this new age workforce, and we must understand that all of us have a stake in this mission. Women are the key piece to the puzzle of realizing the highest maturity levels of digital enterprises, but unless we realize this, our progress in AI and technology will remain stagnant. In order to close the gender gap in science, technology, engineering and math (STEM), and to accelerate advances in artificial intelligence and the sciences, we must encourage and support women on all levels, from government to enterprise, and establish equal employment opportunities for all. AI is one of the fields in which women can experience tremendous success, especially with the right push towards female participation in the industry.

One of the largest economic revolutions of our time is unfolding around us. Technology, innovation and automation are redrawing the career paths of millions of people. Most headlines focus on the negative, i.e. machines taking our jobs. But in reality, these developments are opening up a world of opportunity for people who can make the move to a STEM career or upskill in their current job. There's also another part to this story: How AI can help boost the economy by improving how we learn.

One of the largest economic revolutions of our time is unfolding around us. Technology, innovation and automation are redrawing the career paths of millions of people. Most headlines focus on the negative, i.e. machines taking our jobs. But in reality, these developments are opening up a world of opportunity for people who can make the move to a STEM career or upskill in their current job. There's also another part to this story: How AI can help boost the economy by improving how we learn.