Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. California prosecutors have filed two counts of vehicular manslaughter against the driver of a Tesla on Autopilot who ran a red light, slammed into another car and killed two people in 2019. All Tesla models, including the Model S, now come standard with Autopilot. The defendant appears to be the first person to be charged with a felony in the United States for a fatal crash involving a motorist who was using a partially automated driving system.

"The glass cliff is a place where a lot of women get put. It's a bad place to be." "It is just excellent," as Ryan put it. This website rewrites your abstract so a 2nd grader can understand it. It is just excellent: https://t.co/khIwWtWloJ

The announcement from Microsoft Gaming CEO Phil Spencer comes as Activision Blizzard faces a series of crises: In July, the publisher was sued by California's Department of Fair Employment and Housing; the state agency's suit alleging widespread gender-based discrimination and sexual harassment at the company. Activision Blizzard also faces a U.S. Securities and Exchange Commission investigation, as well as a class-action lawsuit instigated by shareholders and an unfair labor practices complaint filed by workers and the media labor union Communications Workers of America. The publisher's CEO, Bobby Kotick, has faced repeated calls by employees to step down.

Three hundred and sixty-four days after she lost her job as a co-lead of Google's ethical artificial intelligence (AI) team, Timnit Gebru is nestled into a couch at an Airbnb rental in Boston, about to embark on a new phase in her career. Google hired Gebru in 2018 to help ensure that its AI products did not perpetuate racism or other societal inequalities. In her role, Gebru hired prominent researchers of color, published several papers that highlighted biases and ethical risks, and spoke at conferences. She also began raising her voice internally about her experiences of racism and sexism at work. But it was one of her research papers that led to her departure. "I had so many issues at Google," Gebru tells TIME over a Zoom call.

Hosted by Ben Byford, The Machine Ethics Podcast brings together interviews with academics, authors, business leaders, designers and engineers on the subject of autonomous algorithms, artificial intelligence, machine learning, and technology's impact on society. Merve Hickok is the Senior Research Director of the Center for AI and Digital Policy, and the Founder of AIethicist.org. She is a social researcher, consultant and trainer on AI ethics & policy. Her work on AI is focused on bias, social justice, DE&I, public interest and participatory development and governance. She aims to create awareness, build capacity, and advocate for ethical and responsible development & use of AI.

Global business leaders harbor major concerns over the decisions and omissions made by Artificial Intelligence (AI) systems – despite the fact that 60% of companies now use them. Dentons, the world's largest law firm, has conducted a survey of global business leaders on their organizations' use of AI, as well as on the risks and opportunities presented by AI technologies. 'AI has become part of everyday life and businesses are riding a wave of optimism as they pursue growth strategies that incorporate the implementation of these fast-developing technologies,' said Giangiacomo Olivi, Dentons' Co-Head of Europe Data Privacy and Cybersecurity, Intellectual Property and Technology. 'However, global business leaders are beginning to ask serious questions about where the responsibility for good governance, regulation and compliance sits. We urgently need to start a dialogue on the controls needed to protect businesses, customers, shareholders and communities.

Knowledge of the changing traffic is critical in risk management. Customs offices worldwide have traditionally relied on local resources to accumulate knowledge and detect tax fraud. This naturally poses countries with weak infrastructure to become tax havens of potentially illicit trades. The current paper proposes DAS, a memory bank platform to facilitate knowledge sharing across multi-national customs administrations to support each other. We propose a domain adaptation method to share transferable knowledge of frauds as prototypes while safeguarding the local trade information. Data encompassing over 8 million import declarations have been used to test the feasibility of this new system, which shows that participating countries may benefit up to 2-11 times in fraud detection with the help of shared knowledge. We discuss implications for substantial tax revenue potential and strengthened policy against illicit trades.

I give a short introduction to data ethics. My focal audience is mathematicians, but I hope that my discussion will also be useful to others. I am not an expert about data ethics, and my article is only a starting point. I encourage readers to examine the resources that I discuss and to continue to reflect carefully on data ethics and on the societal implications of data and data analysis throughout their lives.

The current artificial intelligence (AI) systems are regulated by other existing regulations such as data protection, consumer protection and market competition laws. It is critical for governments, leaders, and decision makers to develop a firm understanding of the fundamental differences between artificial intelligence, machine learning, and deep learning. Artificial intelligence (AI) applies to computing systems designed to perform tasks usually reserved for human intelligence using logic, if-then rules, and decision trees. AI recognizes patterns from vast amounts of quality data providing insights, predicting outcomes, and making complex decisions. Machine learning (ML) is a subset of AI that utilises advanced statistical techniques to enable computing systems to improve at tasks with experience over time.

We saw it during the Industrial Revolution, which vastly improved the average living standard, but also led to poor labour conditions and environmental degradation – over a timeline that was difficult to foresee. And here we are, at the dawn of the AI revolution, where the advent of cloud computing and computer processing power, cheap storage, new algorithms, as well as new product and service innovations realises the benefits of a technology – from driverless cars and virtual reality to medical diagnostics and predictive machine maintenance. In tandem, however, we also see some negative, often unintended consequences of these technologies. They go from the rise of fake news and algorithms that favour the incendiary and divisive over the factual, to major privacy breaches and AI models that discriminate against minority groups or even cost human lives. AI is a powerful tool, and it's never been more important for C-suite executives to understand both how to leverage it for growth and innovation, and how to do so responsibly and ethically.