Decisions on where to send police patrol cars, which foster parents to investigate, and who gets released on bail before trial are some of the most important, life-or-death decisions made by our government. And, increasingly, those decisions are being automated. The last eight years have seen an explosion in the capability of artificial intelligence, which is now used for everything from arranging your news feed on Facebook to identifying enemy combatants for the U.S. military. The automated decisions that affect us the most are somewhere in the middle. A.I.'s big feature is essentially pattern matching.
For a variety of reasons and in any number of different industries, video and audio footage are gathered and used for many different reasons. Whether you are working with law enforcement, a lawyer, or are simply using footage gathered on the ground for a news story or an advertisement, you are required to ensure the privacy of individuals and their personal information that may be used to identify a given individual. Not everything captured in a video or audio clip is relevant to what the material is being used for and people have privacy rights that must be adhered to. Every day countless amounts of information are gathered from private individuals without their notice or agreement. It could simply be a smartphone video that someone plans to use for a video blog post, or perhaps it is dashcam evidence in a criminal case. Regardless of what material is gathered and what it is intended to be used for, the onus is on the user to ensure that anyone who is not relevant to a video, case, etc.has their identity protected.
Start to think with the head of the attacker and ask questions. How does the application digest the information? Does the system accept images, as well as audio and video files? If so, how does it check the types? Does the program do any parsing or does it delegate it entirely to an open-source or commercially available media library?
Tokyo's Metropolitan Police Department has arrested two men on defamation and other charges over distributing on the internet pornography videos they doctored so that the faces of actresses in the original videos were swapped with those of female celebrities, it was learned Friday. Takumi Hayashida, a 21-year-old university student in Kumamoto, and Takanobu Otsuki, a 47-year-old system engineer in Sanda, Hyogo Prefecture, admitted to the charges, police sources said. The suspects used an artificial intelligence technology called deep learning to produce so-called deepfake pornography videos. The case is the first involving deepfake pornography videos handled by police in Japan. Otsuki told the police that he wanted to be praised by others, the sources said.
Yahoo Japan Corp. and two other companies opened a website Wednesday to seek information on wanted fugitives, with artificial intelligence-generated images showing how they could look now. The website, called Tehai, was established by Yahoo Japan, digital marketing business Dentsu Digital Inc. and Party, which creates images of wanted fugitives, in cooperation with the National Police Agency. On Tehai, nine types of images are posted showing how suspects put on wanted lists long ago could look now. The images are created with AI programs that studied vast amounts of facial photo data. The AI-based images take into account how the appearances of fugitives might have changed from those in their old pictures used in conventional posters seeking information about them.
In this paper we suggest a minimally-supervised approach for identifying nuanced frames in news article coverage of politically divisive topics. We suggest to break the broad policy frames suggested by Boydstun et al., 2014 into fine-grained subframes which can capture differences in political ideology in a better way. We evaluate the suggested subframes and their embedding, learned using minimal supervision, over three topics, namely, immigration, gun-control and abortion. We demonstrate the ability of the subframes to capture ideological differences and analyze political discourse in news media.
Monitoring of user activities performed by local administrators is always a challenge for SOC analysts and security professionals. Most of the security framework will recommend the implementation of a whitelist mechanism. However, the real world is often not ideal. You will always have different developers or users having local administrator rights to bypass controls specified. Is there a way to monitor the local administrator activities?
Rafaela Vasquez has been charged with negligent homicide in the death of a pedestrian struck by an autonomous Uber SUV in March 2018. Vasquez was at the wheel of the vehicle at the time. Rafaela Vasquez has been charged with negligent homicide in the death of a pedestrian struck by an autonomous Uber SUV in March 2018. Vasquez was at the wheel of the vehicle at the time. The driver behind the wheel of an autonomous Uber car that fatally struck an Arizona woman has been charged with negligent homicide. Rafaela Vasquez, 46, appeared in court on Tuesday in Maricopa County, Ariz.
It has been more than two years since one of Uber's autonomous SUVs struck and killed Elaine Herzberg in Tempe, Arizona. Last year one group of prosecutors (from another county due to a conflict of interest in the area where the crash happened) decided they would not file criminal charges against Uber, but on Tuesday a grand jury in Maricopa County charged the vehicle's backup driver with negligent homicide. County attorney Allister Adel said in a statement that "Distracted driving is an issue of great importance," as a report by police and investigation by the NTSB said Rafaela Vasquez was streaming The Voice on Hulu while sitting behind the wheel of the vehicle. Tempe Police Vehicular Crimes Unit is actively investigating the details of this incident that occurred on March 18th. We will provide updated information regarding the investigation once it is available.
Japanese police have been using a system that can match photos of people who have been previously arrested with images gathered by surveillance cameras and social media, police officials said Saturday, a move that could raise concerns about privacy violations. The facial analysis system has been operated by police across the nation since March to identify criminal suspects more quickly and accurately, the officials said. But critics warn that the system could turn the country into a surveillance society unless it is operated under strict rules. "We are using the system only for criminal investigations and within the scope of law. We discard facial images that are found to be unrelated to cases," a senior National Police Agency official said.