Lifeboat Foundation: Safeguarding Humanity
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Category: terrorism

Superb piece.

“But, I say we should pursue science and technology because, like Prometheus, the fires of invention burn bright, and although we may not always know where it leads us, a world darkened by the fear of treading upon the unknown, is unimaginable.”

Yet we can look to a brighter side, one I could never have imagined in the ’60’s when the chromosomes we karyotyped would be uncoiled to lay bare the genome as an instrument for critical medical diagnoses, to set free those erroneously convicted of crime, or enlighten us about Mitochondrial Eve our common mother, and the long journey that began two hundred thousand years ago; the journey that brought me into the world of physical things, air, table and chairs, and beyond into the space of the geometries and cohorts, like Golay and Bolsey, who helped me better understand my Universe, the one either too small or too far to see, unless aided by the eyes of science and technology. I once wondered how I got here, and now I think I know, but I am afraid my second query, “where will it lead,” will remain an open question.

One cannot predict with any precision where technology will lead us, although it has the indisputable potential to reduce suffering, extend life, and increase living standards. And, in the hands of the powerful, we witness its misuse altering natural patterns: ecosystems, the sustainability of organisms, to kill with greater efficiency. If we were separated from modern inventions, we would remain alive not more than a few days, weeks for survivalists. Invention does not only express our ingenuity, it expresses a societal conscience commensurate with the kind of world we collectively choose to live in.

Ingenuity itself has little control over where it leads, and I have long wondered whether one might in the words of Hamlet, “bear those ills we have than fly to others that we know not of.” But, I say we should pursue science and technology because, like Prometheus, the fires of invention burn bright, and although we may not always know where it leads us, a world darkened by the fear of treading upon the unknown, is unimaginable.

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Despite a federal judge’s ruling last September that the U.S. government’s terror watch list violates constitutional rights, an FBI report obtained by Yahoo News shows local and state law enforcement agencies are being used to gather intelligence on individuals to collect information about those already in the database.

Law enforcement “encounters of watchlisted individuals almost certainly yield increased opportunities for intelligence collection,” says the FBI document, dated more than a month after the federal court ruling. The FBI says such encounters could include traffic stops or domestic disputes, which gives law enforcement “the opportunity to acquire additional biographic identifiers, fraudulent identification documents, financial information and associates of watchlisted individuals,” which might assist in thwarting terrorist acts.

The Terrorism Screening Database, widely known as the watch list, was created in 2003 and consists of names of people suspected of being involved with terrorism. Over the years, the list has grown to include the names of 1.1 million people, raising concerns that many of those on the list have no involvement in terrorism but have little or no legal resources with which to challenge the designation.

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Still, the fact that many labs worldwide are capable of printing viruses is worrisome.

A few years ago, for instance, Canadian researchers alarmed the scientific community when they assembled synthetic horsepox in a lab — a virus closely related to smallpox, which killed hundreds of millions before researchers developed a vaccine.

The same technique, the researchers said at the time, could be be used to bring back smallpox, giving terrorists tools to set off a deadly pandemic.

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I’m excited to share my new opinion piece on AI facial recognition and privacy for IEEE Spectrum:

The views expressed here are solely those of the author and do not represent positions of IEEE Spectrum or the IEEE.

Many people seem to regard facial-recognition software in much the same way they would a nest of spiders: They recognize, in some abstract way, that it probably has some benefits. But it still gives them the creeps.

It’s time for us to get over this squeamishness and embrace face recognition as the life-enhancing—indeed, life–saving—technology that it is. In many cities, closed-circuit cameras increasingly monitor streets, plazas, and parks around the clock. Meanwhile, the price of recognition software is decreasing, while its capabilities are increasing.

I welcome these trends. I want my 9-year-old daughter tracked while she walks alone to school. I want a face scanner at Starbucks to simply withdraw the payment for my coffee from my checking account. I want to board a plane without fumbling for a boarding pass. Most of all, I want murderers or terrorists recognized as they walk on a city street and before they can cause further mayhem.

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As the U.S. military and defense contractors eye a potential drone war with Iran as tensions with the country remain elevated, the defense industry is also preparing to test-fly domestic versions of its combat drones over major American cities in an effort to fully integrate military-grade drones into civil airspace alongside commercial air traffic in the coming years.

That’s right, those robotic killing machines used for counterterrorism strikes in the Middle East are coming home — and could eventually be used to surveil large protests and communities of color throughout the U.S.

The Poway-based defense contractor General Atomics Aeronautical Systems, Inc., will test-fly its SkyGuardian drone, outfitted with a 79-foot wingspan and advanced surveillance capabilities of more than 2,000 feet, over San Diego, California, sometime this year.

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Circa 2019 Event 201, hosted by the Johns Hopkins Center for Health Security, envisions a fast-spreading coronavirus with a devastating impact.

Back in 2001, it was a smallpox outbreak, set off by terrorists in U.S. shopping malls. This fall, it was a SARS-like virus, germinating quietly among pig farms in Brazil before spreading to every country in the world. With each fictional pandemic Johns Hopkins experts have designed, the takeaway lesson is the same: We are nowhere near prepared.

Event 201 simulation hosted by university’s Center for Health Security envisions a fast-spreading coronavirus with a devastating impact.

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In late 2019, photos and footage showing Russia’s Uran-9 combat robot deployed in Syria appeared online. They became a rare visual evidence of the Uran-9 combat deployment in the war-torn country, which, according to official sources, took place in 2018.

The Uran-9 multipurpose unmanned ground combat vehicle was officially unveiled by Russian military equipment manufacturer JSC 766 UPTK during the Army-2016 International Military-Technical Forum in Russia in September 2016. The vehicle is designed to provide remote reconnaissance and fire support to a variety of tasks conducted by the counter-terrorism, reconnaissance and military units in urban environments.

The Uran-9 can be used fully autonomously on a predefined road or manually operated by one man from a truck control station or via a small backpack control station.

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The context: The vast majority of Facebook’s moderation is now done automatically by the company’s machine-learning systems, reducing the amount of harrowing content its moderators have to review. In its latest community standards enforcement report, published earlier this month, the company claimed that 98% of terrorist videos and photos are removed before anyone has the chance to see them, let alone report them.

So, what are we seeing here?: The company has been training its machine-learning systems to identify and label objects in videos—from the mundane, such as vases or people—to the dangerous, such as guns or knives. Facebook’s AI uses two main approaches to look for dangerous content. One is to employ neural networks that look for features and behaviors of known objects and label them with varying percentages of confidence (as we can see in the video, above.)

Training in progress: These neural networks are trained on a combination of pre-labelled videos from its human reviewers, reports from users, and soon, from videos taken by London’s Metropolitan Police. The neural nets are able to use this information to guess what the entire scene might be showing, and whether it contains any behavior or images that should be flagged. It gave more details on how its systems work at a press briefing this week.

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Law enforcement and technologists have been arguing over encryption controls for more than two decades. On one side are privacy advocates and tech bosses like Apple’s chief executive, Timothy D. Cook, who believe people should be able to have online communications free of snooping. On the other side are law enforcement and some lawmakers, who believe tough encryption makes it impossible to track child predators, terrorists and other criminals.

After years of on-and-off debate over nearly snoop-proof security, the industry is girding for new pressure from law enforcement around the world.

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We face complexity, ambiguity, and uncertainty about the future consequences of cryptocurrency use. There are doubts about the positive and negative impacts of the use of cryptocurrencies in the financial systems. In order to address better and deeper the contradictions and the consequences of the use of cryptocurrencies and also informing the key stakeholders about known and unknown emerging issues in new payment systems, we apply two helpful futures studies tools known as the “Future Wheel”, to identify the key factors, and “System Dynamics Conceptual Mapping”, to understand the relationships among such factors. Two key scenarios will be addressed. In on them, systemic feedback loops might be identified such as a) terrorism, the Achilles’ heel of the cryptocurrencies, b) hackers, the barrier against development, and c) information technology security professionals, a gap in the future job market. Also, in the other scenario, systemic feedback loops might be identified such as a) acceleration of technological entrepreneurship enabled by new payment systems, b) decentralization of financial ecosystem with some friction against it, c) blockchain and shift of banking business model, d) easy international payments triggering structural reforms, and e) the decline of the US and the end of dollar dominance in the global economy. In addition to the feedback loops, we can also identify chained links of consequences that impact productivity and economic growth on the one hand, and shift of energy sources and consumption on the other hand.

Watch the full length presentation at Victor V. Motti YouTube Channel