Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. The Justice Department charged a California man of hurling threats of violence against the Massachusetts-based Merriam-Webster Inc., while he allegedly accused the dictionary of promoting "lies and anti-science propaganda" regarding its gender definition entries for the words "woman" and "girl." Jeremy David Hanson, 34, of Rossmoor, California, was charged in federal court in Springfield, Massachusetts, by criminal complaint with one count of interstate communication of threats to commit violence. He was arrested and made an initial federal court appearance in the Central District of California on Wednesday.

Nicole Palmer is a lawyer who graduated from Columbia University. Her profile states that she "specializes in the application and protection of industrial design" and has "been building her career successfully for 30 years." The only problem is that she doesn't exist. And she helped me uncover an online scam operation involved in shady activities, including extorting backlinks from bloggers and website owners. I've spent a good part of the past week investigating Arthur Davidson, the so-called "law firm" Nicole works for.

Many governments around the world have rightly put ethical development and deployment at the heart of their AI thinking. Core to this complex issue is a set of interconnected problems - AI systems that may automate societal problems, either due to a systemic lack of diversity in development teams, perhaps, or the use of training data that contains historic or structural biases. The design of systems may also be a factor. The result may be the algorithmic exclusion of individuals or groups because of their ethnicity, gender, sexuality, religion, or socioeconomic background. For example, facial recognition systems that misidentify black or Asian people because of a lack of relevant data; or CV-scanning applications that reject applicants from some postcodes/zip codes because, historically, human employers have actively excluded those jobseekers.

Most technological advances spark incremental progress. And then a few come along that are truly game-changing. AI is one of those truly transformative technologies. It's set to revolutionise our lives and workplaces at rapid speed in the coming decade. It will potentially reshape almost every job, industry and life.

As a leading financial technology platform, OppFi powers banks to bring credit access to millions of everyday consumers who are locked out of mainstream financial options. We go beyond our mission - to help people rebuild financial health - and go further to ensure we keep the customer at the center of everything we do. We are creating a Customer-obsessed culture, with the capital "C". And it starts with our team here. We are a team of caring, innovative, and inclusive individuals who thrive in being immersed in diverse talents, expertise, perspectives and backgrounds.

Vumacam, an international technology company, is now building out more applications on Proof 360 for the South African market, including a system to detect license plate cloning – when two cars show up in different locations with identical plate numbers. It's also opening up the platform for third-party developers to add their own applications and distribute them to its users. Later this year, Ricky Croock Chief Executive Officer at Vumacam Johannesburg Metropolitan Area118, says that the company will switch to a new model, where customers will pay a flat fee to get access to the full network of cameras instead of just a selection. Agencies will still be able to filter the alerts to their jurisdiction, but they will also be able to view any feed in the country. The new approach will allow Vumacam to place poles and cameras irrespective of whether there are paying customers nearby.

For over 23 years, Larry Collins worked as a toll collector on the Carquinez Bridge in San Francisco. He loved his job -- every day, he would come to work and greet drivers, provide directions, answer questions, and collect toll fees. Over the years, although the toll price had changed tremendously, his job was always in a stable condition. But, this all changed during March of 2020. In the midst of the coronavirus pandemic, Collins was suddenly informed that his tollbooth was getting shut down and replaced by an artificial intelligence-based toll collector machine. Collins was not the lone victim of industrial automation unemployment, just in the Northern California region, 185 other toll booths were also shut down and replaced by technological alternatives (Semuels). As the 21st-century technological advances continue, applications of artificial intelligence are expected to expand exponentially. Slowly but surely, artificial intelligence is automating a multitude of manual jobs, causing widespread unemployment around the world (Peterson). There is clear uncertainty about the future of artificial intelligence. A recent report from the conference on Computers, Privacy, and Data Protection suggested that the European Commission (EU), is strongly "considering the possibility of legislating for Artificial Intelligence". This legislation would explore a number of nuances that come with future artificial intelligence job automation and will consider the implementation of a novel regulatory framework (MacCarthy). On the other hand, organizations such as Deltec, an international financial research institute, are in support of artificial intelligence automation and don't want regulation as it would hinder humanity's ability to research and solve problems in an efficient manner (Trehan).

AI startups are increasingly embracing AI ethics, though this is trickier than it might seem at ... [ ] first glance. Whatever you are thinking, think bigger. Fake it until you make it. These are the typical startup lines that you hear or see all the time. They have become a kind of advisory lore amongst budding entrepreneurs. If you wander around Silicon Valley, you'll probably see bumper stickers with those slogans and likely witness high-tech founders wearing hoodies emblazoned with such tropes. AI-related startups are assuredly included in the bunch. Perhaps we might though add an additional piece of startup success advice for the AI aiming nascent firms, namely that they should energetically embrace AI ethics. That is a bumper sticker-worthy notion and assuredly a useful piece of sage wisdom for any AI founder that is trying to figure out how they can be a proper leader and a winning entrepreneur. For my ongoing and extensive coverage of AI Ethics and Ethical AI, see the link here and the link here, just to name a few. The first impulse of many AI startups is likely the exact opposite of wanting to embrace AI ethics. Often, the focus of an AI startup is primarily about getting some tangible AI system out the door as quickly as possible. There is usually tremendous pressure to produce an MVP (minimally viable product). Investors are skittish about putting money into some newfangled AI contrivance that might not be buildable, and therefore the urgency to craft an AI pilot or prototype is paramount.

Twilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences. Although we're headquartered in San Francisco, we have a presence throughout South America, Europe, Asia, and Australia. We're on a journey to becoming a globally anti-racist, anti-oppressive, anti-bias company that actively opposes racism and all forms of oppression and bias. At Twilio, we support diversity, equity & inclusion wherever we do business. We employ thousands of Twilions worldwide, and we're looking for more builders, creators, and visionaries to help fuel our growth momentum.

The first kind is a result of cognitive biases – unconscious errors in everyday thinking which directly influence individuals' judgements and decisions – and unfortunately, all of us are guilting of having them. Psychologists have identified and defined at least 180 human biases. Amongst these are gender bias, racial prejudice, and age discrimination – all the pesky traits that society has been trying to eradicate for decades. These biases prevail as a result of our brains attempting to simplify the immense amount of information we receive about the world around us every second. Other times, biases appear in AI because there is a lack of complete data.