Delta Air Lines, in partnership with TSA PreCheck, today announced an expansion of how it uses biometrics to let passengers drop their bags, go through security and board their plane by simply showing their face. For now, the newest part of this, the PreCheck bag-drop experience, is a pilot that's only available in Atlanta and for Delta's SkyMiles frequent flier program members who are also registered for TSA pre-check. The project builds and expands upon the work the airline has done at its Detroit hub and for its international flights out of Atlanta. But now it includes a facial recognition-powered bag-drop experience, too. In Atlanta, where Delta and the TSA are running this pilot, members of Delta's SkyMiles frequent flier program who are also TSA pre-check members now get their own self-service PreCheck bag-drop area.

The statute prohibits the circumvention of software copy protection and has been the target of right to repair advocates for years. As one example, it adopts a recommendation from Public Knowledge and iFixit that involves video game consoles. It says "the repair of software-enabled consumer devices is likely to be fair use, the Register finds that certain video game console repair is also likely fair use." It notes consumers can access the firmware on their systems as long as it's with the intention of fixing the device's optical drive and they restore any protective measures afterward. The rulemaking stops short of protecting non-consumer devices.

Machine Learning (ML) holds great potential for statistical organisations. It can make the production of statistics more efficient by automating specific processes or assisting humans in carrying out the process. It also allows statistical organisations to use new types of data such as social media data and imagery. Many national statistical offices (NSOs) are investigating how ML can be used to increase the relevance and quality of official statistics in an environment of growing demands for trusted information, rapidly developing and accessible technologies, and numerous competitors. Machine learning is revolutionising the way statistical organisations produce statistics.

At a recent conference on the challenges of artificial intelligence, Christof Koch made clear in his remarks that the stakes were high: "By mid-century, humanity will be surrounded by ubiquitous, flexible, highly intelligent autonomous agents, and this will profoundly affect our future--including whether we have any." Dr. Koch--who is the chief scientist of the Mindscope Program at the Allen Institute for brain science in Seattle--was speaking to a group of roughly a hundred academics, diplomats and journalists. The conference was hosted by the Vatican at the Cancelleria, a 15th-century Renaissance palace in Rome, and centered around the theme of "the challenge of artificial intelligence for human society and the idea of the human person." This was the second event at the Vatican to focus on artificial intelligence, commonly abbreviated as A.I. Just before Italy entered into a nationwide lockdown last year, the Pontifical Academy for Life held a workshop on A.I. in February 2020. This workshop ultimately produced a "Call for AI Ethics," which was signed by Microsoft, IBM, the Food and Agricultural Organization of the United Nations and the Italian government, in addition to the Academy.

Artificial intelligence (AI) has steadily become more integrated into daily life, and this is evident through Google maps, face recognition, and autocorrect. Joining their ranks is breakthrough conversational AI technology. Conversational AI entails technologies that allow computers and machines to create automated messages and speech-enabled applications. This allows for human-like interactions between humans and devices. As more and more platforms begin to rely on AI-based customer services, it's no surprise that the conversational AI market is projected to reach $18.02 billion by 2027.

Artificial intelligence (A.I.) is heavily used in Big Data and when it comes to the analysis of customers' behaviour. There's also anti-money laundering (AML) AI; it's used to fight financial crime and guard the reputation of app providers. FinTech is about trust, after all. How exactly is it done and how can you benefit? Because cybercrime is serious, there is a special word for it in the financial world.

This article offers an overview of the main first-order ethical questions raised by robots and Artificial Intelligence (RAIs) under five broad rubrics: functionality, inherent significance, rights and responsibilities, side-effects, and threats. The

Silicon Valley is not a milieu known for glamour and charisma. Still, Peter Thiel has cultivated a mystique. A billionaire several times over, Thiel was the first outside investor in Facebook; he went on to co-found PayPal, the digital-payment service, and Palantir, the data-intelligence company that has worked with the U.S. government. He has co-written a business best-seller, "Zero to One," and launched a hedge fund; he now runs three venture-capital firms. In 2018, citing a regional intolerance of conservative perspectives, he moved from Silicon Valley to Los Angeles; he recently purchased a mansion in Miami Beach.

Eye scans from 150,000 National Health Service (NHS) patients in the UK will be used to test commercial artificial intelligence tools that could be rolled out to spot the warning signs of diabetic sight loss. But researchers aim to avoid a repeat of previous NHS data-sharing scandals by ensuring that records are anonymised and that AI tests are only run on servers owned by NHS trusts.

On October 14, 2021, the U.S. Food and Drug Administration ("FDA" or the "Agency") held a virtual workshop entitled, Transparency of Artificial Intelligence ("AI")/Machine Learning ("ML")-enabled Medical Devices. The workshop builds upon previous Agency efforts in the AI/ML space. Back in 2019, FDA issued a discussion paper and request for feedback called, Proposed Regulatory Framework for Modifications to AI/ML-Based Software as a Medical Device ("SaMD"). To support continued framework development and to increase collaboration and innovation between key stakeholders and specialists, FDA created the Digital Health Center of Excellence in 2020. And, in January 2021, FDA published an AI/ML Action Plan, based, in part, on stakeholder feedback to the 2019 discussion paper.