Lifeboat Foundation: Safeguarding Humanity
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Category: security – Page 106

Hoping to make up ground in the hotly contested artificial intelligence battleground, Chinese Internet giant Baidu Inc. is releasing a tool that allows businesses to create and deploy AI models without coding skills.

Announced Saturday, EZDL is a “no-code platform to build custom machine learning models,” designed with ease of use and security in mind, the company said.

“EZDL is a service platform that allows users to build custom machine learning models with a drag-and-drop interface,” Yongkang Xie, tech lead of Baidu EZDL, said in a statement. “It takes only four steps to train a deep learning model, built specifically for your unique business needs.”

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Starting today, Google’s Titan Security Keys are now on sale via the Google Store for $50. The kit provides buyers with two security keys, one of which can act as a backup, in case you lose the other.

Titan Security Keys look and function like any other security keys on the market, so don’t expect anything game-changing. But Google’s keys can help you protect your Google, Facebook, or Dropbox accounts from sophisticated phishing attacks.

A security key is a device that essentially adds another step to the account sign-in process. To break in, a hacker would need your password and the physical key, which can sign a digital authentication request to unlock your account.

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“The big problem is that hospitals don’t buy new devices, and they keep using really dangerous ones ad infinitum — until they just stop working,” Corman said.

Corman wants these old, unsecured devices gone from hospitals. The fear is that, beyond freezing systems or hijacking medical records as they did during WannaCry, hackers could also actively manipulate medical equipment to harm patients by, say, administering a lethal dose of medication via an infusion pump. While newer devices aren’t ironclad, they are typically built with more robust security features. So Corman and others are urging health-care providers to scrap old, or “legacy,” equipment and replace it with newer models.

To nudge health-care providers to trade up, he’s put forth an idea for an incentive program akin to “Cash for Clunkers,” the 2009 federal auto-rebate plan that aimed to run gas-guzzling cars off the road. Under that program, which was formally called the Car Allowance Rebate System, people received cash in exchange for turning in fuel-inefficient vehicles, which they could then put toward new, more efficient ones. (The program fizzled after a few months, when it depleted its allotted budget.) Similarly, in this version, health-care providers would be compensated for junking old equipment, and could use the rebates toward the purchase of new devices. Corman said he hasn’t fully worked out the economics, but he believes device makers might be willing to subsidize the program in part, since it would help them move inventory.

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NEC has announced that it will be providing a large-scale facial recognition system for the 2020 Summer Olympic and Paralympic Games in Tokyo. The system will be used to identify over 300,000 people at the Games, including athletes, volunteers, media, and other staff. It’s the first time that facial recognition technology will ever be used for this purpose at an Olympic Games.

NEC’s system is built around an AI engine called NeoFace, which is part of the company’s overarching Bio-IDiom line of biometric authentication technology. The Tokyo 2020 implementation will involve linking photo data with an IC card to be carried by accredited people. NEC says that it has the world’s leading face recognition tech based on benchmark tests from the US’ National Institute of Standards and Technology.

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A BASIC income (BI) is defined as a modest, regular payment to every legal resident in the community, paid unconditionally as a right, regardless of income, employment or relationship status.

Contrary to conventional wisdom, the case for BI does not rest on the assumption that robots and artificial intelligence will cause mass unemployment or that it would be a more efficient way of relieving poverty than present welfare systems (although it would). The main arguments are ethical and relate to social justice, individual freedom and the need for basic security.

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You should already be using two-factor authentication to prevent unauthorized access to your online accounts. While your phone is up to the task of helping you with that, Google believes it’s time for to take the next step: using a physical security key.

At its ongoing Google Cloud Next event, the company announced that it’s launched the Titan Security Key, which lets you log in to your account on your desktop by authenticating your identity with over USB or Bluetooth.

Check out TNW’s Hard Fork.

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If you’ve been hacked in recent years, odds are you fell for that perfectly crafted phishing message in your email. Even the most mindful individuals can slip up, but Google’s employees have reportedly had a flawless security record for more than a year thanks to a recent policy requiring them to use physical security keys.

Krebs on Security reports that in early 2017, Google started requiring its 85,000 employees to use a security key device to handle two-factor authentication when logging into their various accounts. Rather than just having a single password, or receiving a secondary access code via text message (or an app such as Google Authenticator), the employees had to use a traditional password as well as plug in a device that only they possessed. The results were stellar. From the report:

A Google spokesperson said Security Keys now form the basis of all account access at Google.

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About the future death of explainability to understand AI thinking, the writing is on the wall…

These divergent approaches, one regulatory, the other deregulatory, follow the same pattern as antitrust enforcement, which faded in Washington and began flourishing in Brussels during the George W. Bush administration. But there is a convincing case that when it comes to overseeing the use and abuse of algorithms, neither the European nor the American approach has much to offer. Automated decision-making has revolutionized many sectors of the economy and it brings real gains to society. It also threatens privacy, autonomy, democratic practice, and ideals of social equality in ways we are only beginning to appreciate.

At the simplest level, an algorithm is a sequence of steps for solving a problem. The instructions for using a coffeemaker are an algorithm for converting inputs (grounds, filter, water) into an output (coffee). When people say they’re worried about the power of algorithms, however, they’re talking about the application of sophisticated, often opaque, software programs to enormous data sets. These programs employ advanced statistical methods and machine-learning techniques to pick out patterns and correlations, which they use to make predictions. The most advanced among them, including a subclass of machine-learning algorithms called “deep neural networks,” can infer complex, nonlinear relationships that they weren’t specifically programmed to find.

Predictive algorithms are increasingly central to our lives. They determine everything from what ads we see on the Internet, to whether we are flagged for increased security screening at the airport, to our medical diagnoses and credit scores. They lie behind two of the most powerful products of the digital information age: Google Search and Facebook’s Newsfeed. In many respects, machine-learning algorithms are a boon to humanity; they can map epidemics, reduce energy consumption, perform speech recognition, and predict what shows you might like on Netflix. In other respects, they are troubling. Facebook uses AI algorithms to discern the mental and emotional states of its users. While Mark Zuckerberg emphasizes the application of this technique to suicide prevention, opportunities for optimizing advertising may provide the stronger commercial incentive.

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