The New York City Council yesterday passed legislation seeking to address problems with Algorithms which can determine which school a child can attend, whether a person will be offered credit from a bank, what products are advertised to consumer, and whether someone will receive an interview for a job. Government officials also use them to predict where crimes will take place, who is likely to commit a crime and whether someone should be allowed out of jail on bail. The algorithms used in facial recognition technology, for example, have been shown to be less accurate on Black people, women, and juveniles.
The new bill seeking the signature of Mayor Bill de Blasio. States:
The task force would need to be formed within three months of the bill’s signing, and importantly it must include “persons with expertise in the areas of fairness, accountability and transparency relating to automated decision systems and persons affiliated with charitable corporations that represent persons in the city affected by agency automated decision systems.”
The New York division of the ACLU has argued in favor of it.
See The bill Here,
FedEx Corp confirms it has suffered a malware attack on Friday and said its Windows-based systems were “experiencing interference” due to malware and that it was trying to fix the issue as quickly as possible. Computer systems at companies and hospitals in dozens of countries were hit Friday, apparently part of a huge extortion plot. The so-called ransomware attack appears to exploit a weakness that was purportedly identified by the U.S. National Security Agency and leaked to the internet. It encrypts data on infected computers and demands payment before the information is unencrypted..
A cyberattack that is forcing computer owners to pay hundreds of dollars in ransom to unlock their files has hit almost every corner of the world. This is the biggest ransomware outbreak in history.
Security experts from Kaspersky Lab and Avast Software say Russia was the hardest hit, followed by Ukraine and Taiwan. Researchers believe a criminal organization is behind this, given its sophistication.Russia’s Interior Ministry says it has come under cyber attack. Agency spokeswoman Irina Volk says in a statement carried by Russian news agencies that Friday’s cyber attacks hit about 1,000 computers. She said the ministry’s servers haven’t been affected. Volk also said that ministry experts are now working to recover the system and do necessary security updates.
Russian media also said that the Investigative Committee, the nation’s top criminal investigation agency, also has been targeted. The committee denied the reports.
Megafon, a top Russian mobile operator, also said it has come under cyberattacks that appeared similar to those that crippled U.K. hospitals on Friday.
Microsoft has released fixes for vulnerabilities and related tools disclosed by TheShadowBrokers, a mysterious group that has repeatedly published alleged NSA software code. But many companies and individuals haven’t installed the fixes yet, or are using older versions of Windows that Microsoft no longer supports and didn’t fix.
Hospitals in the U.K. and telecommunications companies in Spain are among those hit by a “ransomware” attack that locked up computer data and demanded payment to free it. The attacks use a malware called Wanna Decryptor, also known as WannaCry.
A report released by the DMV Wednesday reveals that driverless cars have a long way to go before they can actually become driverless.
The data from the Department of Motor Vehicles includes autonomous vehicle test results from 11 companies. The information includes details of when drivers had to take control of the cars, either because the test driver felt uncomfortable or due to a glitch in the technology. The data only includes miles traveled on public roads in California, and doesn’t include testing at private facilities or outside the state.
Bryant Walker Smith, scholar for Stanford Law School’s Center for Internet and Society says”there are more questions that need answers; such as what would happen if the driver didn’t intervene. Would the car know to pull to the side of the road to avoid a collision? how ‘bad’ the hypothetical outcome avoided by a driver-initiated disengagement needs to be for Waymo (for example) to include such a disengagement in its count,” he said. “In other words, if the driver hadn’t intervened in any given instance, would a crash have necessarily resulted?”
Delphi Automotive Systems, for example, reported several instances where the cars could not read traffic signals due to “poor sun conditions,” or when the cars had trouble changing lanes during heavy traffic. Google’s Waymo, on the other hand, said the human drivers had to take over most often due to software discrepancies, followed by an unwanted maneuver of the car or the reckless behavior of another driver. Other times, humans took over because there was heavy pedestrian traffic or out of extra caution for a cyclist sharing the road.
Honda and Volkswagon — said they never tested the vehicles on public roads. The others ranged from 530 miles logged by Tesla during only one month in 2016 to the 635,868 miles traveled by Google’s Waymo vehicles.
A silicon wafer designed to sort particles found in bodily fluids for the purpose of early disease detection.
IBM’s research labs are already working on a chip that can diagnose a potentially fatal condition faster than the best lab in the country, a camera that can see so deeply into a pill it can tell if its molecular structure has more in common with a real or counterfeit tablet, and a system that can help identify if a patient has a mental illness just from the words they use.
More work have to be done before the systems are ready for rolling out commercially. The next few years could also see IBM using artificial intelligence and new analytical techniques to produce a ‘lab on a chip’ — a pocket-sized device that would be able to analyse a single drop of blood or other bodily fluid to find evidence of bacteria, viruses, or elements like proteins that could be indicative of an illness.
Perhaps its greatest use, however, could be allowing people to know about health conditions before any symptoms begin to show.
While analyzing the contents of a drop of blood at a nanoscale level will need huge AI processing power, the real challenge for IBM in bringing labs on a chip to market is in the silicon. Mental health, however, is one area where artificial intelligence will chew up vast quantities of data and turn it into useful information for clinicians. Over the next two years, IBM will be creating a prototype of a machine learning system that can help mental health professionals diagnose patients just from the content of their speech.
Speech is already one of the key components that doctors and psychiatrists will use to detect the onset of mental illness, checking for signs including the rate, volume, and choice of words. Now, IBM is hoping that artificial intelligence can do the same, by analyzing what a patient says or writes — from their consultations with a doctor or the content of their Twitter feeds.
IBM already has form with such tools: one of the first commercial uses of Watson, Big Blue’s cognitive computing system, was as a doctor’s assistant for cancer care. Now the company is working with hospitals and other partners to build prototypes for other cognitive tools in healthcare. IBM hopes using machine learning will make the process faster and give an additional layer of insight.
WorldPotus is the first project in a series of ambitious visualizations based on Google search data
Google has launched a new visualization called Inaugurate, and the author is Jan Willem Tulp.