Lifeboat Foundation

Say something Eric Klien.

Given the increasing proliferation of AI, I recently carried out a systematic review of AI-driven regulatory gaps. My review sampled the academic literature on AI in the hard and social sciences and found fifty existing or future regulatory gaps caused by this technology’s applications and methods in the United States. Drawing on an adapted version of Lyria Bennett-Moses’s framework, I then characterized each regulatory gap according to one of four categories: novelty, obsolescence, targeting, and uncertainty.

Significantly, of the regulatory gaps identified, only 12 percent represent novel challenges that compel government action through the creation or adaptation of regulation. By contrast, another 20 percent of the gaps are cases in which AI has made or will make regulations obsolete. A quarter of the gaps are problems of targeting, in which regulations are either inappropriately applied to AI or miss cases in which they should be applied. The largest group of regulatory gaps are ones of uncertainty in which a new technology is difficult to classify, causing a lack of clarity about the application of existing regulations.

Continue reading “Can existing laws cope with the AI revolution?” »

You’ve never seen anything like these before.

Researchers at Ben-Gurion University of the Negev (BGU) have determined how to pinpoint the location of a drone operator who may be operating maliciously or harmfully near airports or protected airspace by analyzing the flight path of the drone.

Drones (small commercial unmanned aerial systems) pose significant security risks due to their agility, accessibility and low cost. As a result, there is a growing need to develop methods for detection, localization and mitigation of malicious and other harmful aircraft operation.

The paper, which was led by senior lecturer and drone expert Dr. Gera Weiss from BGU’s Department of Computer Science, was presented at the Fourth International Symposium on Cyber Security, Cryptography and Machine Learning (CSCML 2020) on July 3rd.

To assist humans in completing manual chores or tasks, robots must efficiently grasp and manipulate objects in their surroundings. While in recent years robotics researchers have developed a growing number of techniques that allow robots to pick up and handle objects, most of these only proved to be effective when tackling very basic tasks, such as picking up an object or moving it from one place to another.

High-resolution sensors could enable more advanced robot manipulation capabilities by gathering valuable tactile information that can be used to identify the best strategies for manipulating specific objects. Many existing tactile sensors are highly efficient but expensive to produce, which makes them difficult or impossible to implement on a large-scale; others are inexpensive but with a limited resolution and performance.

With this in mind, researchers at Facebook recently designed DIGIT, a tactile sensor that is compact, affordable, and can also collect high-resolution images. DIGIT, presented in a paper pre-published on arXiv, could facilitate the development of robots capable of completing a greater variety of tasks involving in-hand manipulation.

Some might say it’s for the birds.

But the latest creation from German robotics company Festo promises not only literal flights of fancy, but quite promising real-world applications down the road as well.

Continue reading “German firm creates bionic birds” »

Electronic systems – from the processors powering smartphones to the embedded devices keeping the Internet of Things humming – have become a critical part of daily life. The security of these systems is of paramount importance to the Department of Defense (DoD), commercial industry, and beyond. To help protect these systems from common means of exploitation, DARPA launched the System Security Integration Through Hardware and Firmware (SSITH) program in 2017. Instead of relying on patches to ensure the safety of our software applications, SSITH seeks to address the underlying hardware vulnerabilities at the source. Research teams are developing hardware security architectures and tools that protect electronic systems against common classes of hardware vulnerabilities exploited through software.

To help harden the SSITH hardware security protections in development, DARPA today announced its first ever bug bounty program called, the Finding Exploits to Thwart Tampering (FETT) Bug Bounty. FETT aims to utilize hundreds of ethical researchers, analysts, and reverse engineers to deep dive into the hardware architectures in development and uncover potential vulnerabilities or flaws that could weaken their defenses. DARPA is partnering with the DoD’s Defense Digital Service (DDS) and Synack, a trusted crowdsourced security company on this effort. In particular, FETT will utilize Synack’s existing community of vetted, ethical researchers as well as artificial intelligence (AI) and machine learning (ML) enabled technology along with their established vulnerability disclosure process to execute the crowdsourced security engagement.

Bug bounty programs are commonly used to assess and verify the security of a given technology, leveraging monetary rewards to encourage hackers to report potential weaknesses, flaws, or bugs in the technology. This form of public Red Teaming allows organizations or individual developers to address the disclosed issues, potentially before they become significant security challenges.

The Pentagon’s artificial intelligence hub is shifting its focus to enabling joint warfighting operations, developing artificial intelligence tools that will be integrated into the Department of Defense’s Joint All-Domain Command and Control efforts.

“As we have matured, we are now devoting special focus on our joint warfighting operation and its mission initiative, which is focused on the priorities of the National Defense Strategy and its goal of preserving America’s military and technological advantages over our strategic competitors,” Nand Mulchandani, acting director of the Joint Artificial Intelligence Center, told reporters July 8. “The AI capabilities JAIC is developing as part of the joint warfighting operations mission initiative will use mature AI technology to create a decisive advantage for the American war fighter.”

Three times in the coming month or so, rockets will light their engines and set course for Mars. A trio of nations — the United States, China and the United Arab Emirates (UAE) — will be sending robotic emissaries to the red planet, hoping to start new chapters of exploration there.

Each mission is a pioneer in its own right. The United States is sending its fifth rover, NASA’s most capable ever, in the hope of finding evidence of past life on Mars and collecting a set of rocks that will one day be the first samples flown back to Earth. China aims to build on its lunar-exploration successes by taking one of its rovers to Mars for the first time. And the UAE will be launching an orbiter — the first interplanetary mission by any Arab nation — as a test of its young but ambitious space agency.

It is far from a given that all these missions will make it; Mars is notorious as a graveyard for failed spacecraft. But if they do, they will substantially rewrite scientific understanding of the planet. The two rovers are heading for parts of Mars that have never been explored(see ‘Landing sites’), and the UAE’s orbiter will track the changing Martian atmosphere.

Researchers at MIT are working with Ava Robotics to provide a sanitary solution to high foot traffic spaces.