… DevSecOps (Development Security Operations) and AI/Machine Learning. … cyber intelligence to reduce the effectiveness of enemy operations.

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).

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. We've all heard that data breaches and other cybersecurity threats are on the rise, but the latest numbers, from SiteLock's 2022 Security Report, are truly staggering: "High-severity malware" is up 86% year-over-year. High-severity threats are those that can lead to stolen data, loss of customer trust, and damage to reputation and brand. More specifically, this includes the likes of malware downloads, phishing, redirects to malicious websites and code injection. In other words, it's becoming increasingly easy for hackers to target innocent users and wreak havoc on their lives and businesses.

US surveillance-tech supplier Palantir has hired a one-time director of AI for NHSX – the former UK health service digital agency. Indra Joshi quit her role at the end of March as NHSX and NHS Digital were merged into NHS England, a non-departmental government body. Her arrival at Palantir will raise concerns among NHS watchers and privacy campaigners. Palantir largely carries out information analysis and processing work for the defense and intelligence communities, often creating bespoke solutions such as digital-profiling tools for organisations like the CIA and ICE. The firm was founded by prominent Donald Trump financier and PayPal investor Peter Thiel.

It's no secret that women and other minorities face unique challenges in the workforce. Even though women make up approximately 47% of today's workforce, there are still many male-dominated industries. The United States Department of Labor estimates that although 74% of human resources managers are female, only 27% of CEOs are. One contributing factor to these statistics is the unconscious gender bias in job descriptions. A specific example is Amazon's AI system for hiring that picked out resumes most similar to the company's most successful job applicants.

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.

"Britain moves closer to a self-driving revolution," said a perky message from the Department for Transport that popped into my inbox on Wednesday morning. The purpose of the message was to let us know that the government is changing the Highway Code to "ensure the first self-driving vehicles are introduced safely on UK roads" and to "clarify drivers' responsibilities in self-driving vehicles, including when a driver must be ready to take back control". The changes will specify that while travelling in self-driving mode, motorists must be ready to resume control in a timely way if they are prompted to, such as when they approach motorway exits. They also signal a puzzling change to current regulations, allowing drivers "to view content that is not related to driving on built-in display screens while the self-driving vehicle is in control". So you could watch Gardeners' World on iPlayer, but not YouTube videos of F1 races? Reassuringly, though, it will still be illegal to use mobile phones in self-driving mode, "given the greater risk they pose in distracting drivers as shown in research".

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Artificial intelligence is certainly a game-changer when it comes to security. Not only does it greatly expand the capability to manage and monitor systems and data, it adds a level of dynamism to both protection and recovery that significantly increases the difficulty, and lessens the rewards, of mounting a successful attack. But AI is still a digital technology, which means it can be compromised as well, particularly when confronted by an intelligent attack. As the world becomes more dependent on systems intelligence and autonomy for everything from business processes to transportation to healthcare, the consequences of a security breach rise even as the likelihood declines.

Like many lonely children, Lucas Rizzotto had an imaginary friend: a talking microwave called Magnetron. As the years passed, the pals drifted apart. But Rizzotto never forgot about Magnetron. When OpenAI released the GPT-3 language model, Rizzotto saw a chance to rekindle the friendship. His story provides a cautionary tale about the dangers -- and delights -- of AI.

Although autonomous vehicles frequently steal the media spotlight, Tanya Mohn argues that there are more practical, immediate ways to use artificial intelligence to improve traffic safety. As Mohn writes, "Artificial intelligence is already being used to enhance driving safety: cellphone apps that monitor behavior behind the wheel and reward safe drivers with perks and connected vehicles that communicate with each other and with road infrastructure." According to David Ward, president of the Global New Car Assessment Program, there are several "beneficial, low-cost, intermediate technologies that are available now. A prime example is intelligent speed assistance, or I.S.A., which uses A.I. to manage a car's speed via in-vehicle cameras and maps," a technology that will soon be mandatory in the European Union. Other technologies include cameras that can assess distracted driving behavior, allowing law enforcement to see whether a driver is holding a phone below the dashboard, for example.