One of the biggest cold cases of the 21st Century is the case of who betrayed Anne Frank and her family to the Nazis during World War II. Anne Frank’s family and another family famously hid in a secret annex for two years before they were given away by an unknown person to the Gestapo. The Nazis found them and they were sent to concentration camps. Anne died in the Bergen-Belsen concentration camp and famously wrote a diary documenting her experience hiding from the Nazis. Her father Otto was the lone survivor of the group of eight hiders. Otto was able to piece together much of what happened and had Anne’s diary published. Yet, the Frank family, and many other families who suffered in the holocaust, thought they would never know who betrayed them. Artificial Intelligence (AI) may be a tool that can help solve this mystery.
This case, along with a few others, is strange for a number of reasons. First, the Nazis were known f ...
Pam is walking around Shanghai and sees shops that contain shoes, handbags, clothes, and jewelry that are all emblazoned with the logos of famous designers. Upon walking inside, she notices that many of these products, while not very cheap, are still markedly cheaper than if she were to buy the exact same product in the United States. The quality looks and feels great, so without a second thought, she purchases a handbag. After all, this isn’t a shady stand on a roadside. This is a seemingly legitimate store. It isn’t until she’s back in the United States that she discovers that the Louis Vuitton handbag that she bought is a fake.
This type of situation is fairly common. There are often only subtle differences between a real and fake product that may not be detectable at first touch or first look. Other times, people are aware that what they’re purchasing is a counterfeit good and simply don’t care. Regard ...
The application of big data analytics has already improved lives in innumerable ways. It has improved the way teachers instruct students, doctors diagnose and treat patients, lenders find creditworthy customers, financial service companies control money laundering and terrorist financing, and governments deliver services. It promises even more transformative benefits with self-driving cars and smart cities, and a host of other applications will drive fundamental improvements throughout society and the economy. Government policymakers have worked with developers and users of these advanced analytic techniques to promote and protect these publicly beneficial innovations, and they should continue to do so.
In many circumstances, current law and regulation provide an adequate framework for strong public protection. Most of the legal concerns that animate public discussions can be resolved through strong and vigorous enforcement of rules that apply to advanced and tradi ...
In the past two weeks, America has seen catastrophic devastation from both Hurricane Harvey and Hurricane Irma. As a result, thousands of Americans are struggling with all the damage incurred to their property. As homes and cars are still submerged in floodwaters, insurance companies have to find ways to quickly and effectively resolve insurance claims to provide fast relief. To do this, some companies have been deploying predictive analytics and machine learning tools to respond to insurance claims – and there have been plenty. Esurance is one such company.
Terrorists and other hate groups like al-Qaeda, ISIS, white supremacists, and neo-Nazis use social media and video streaming platforms to publish and spread their hateful and offensive content for radicalization, propaganda, or organizational purposes. After the recent tragic events in Charlottesville, the tech community has been figuring out ways to respond. Platforms have increased the rate of which they either take down white supremacist content or make it harder to find. But, many companies and platforms have been flagging and taking down such harmful for a long while, especially pertaining to terrorist content.
According to the Environmental Protection Agency, a majority of rivers and streams in America cannot support healthy life with the number of rivers being polluted trending upwards. 55 percent of waterways in America are currently listed as “poor” and another 23 percent are listed as “fair.” Additionally, millions of Americans drink water that contains unsafe levels of industrial chemicals according to Environmental Science & Technology Letters. When it comes to water pollution specifically, AI technology can help detect the sources of pollution for clean-up.
This week’s AI spotlight is on a robot called Envirobot which uses AI technology to find sources of pollution in bodies of water. Developed by scientists at the Swiss research institute, École Polytechnique Fédérale de Lausanne (EPFL), Envirobot is a four-foot long eel-like robot that is made up with small compartments attached to each other. Ea ...
Suicide is ranked as the third leading cause of death among people ages 10 to 14 and second among people ages 15 to 24 according to the Center for Disease Control and Prevention. Obviously, suicide and depression are a serious problem facing society. People who are contemplating suicide often feel helpless and reach out, but hearing and acting on cries for help doesn’t always happen in time. Tragically, many people who have struggled with depression and/or suicidal thoughts have used social media to post notes about their intentions to take their own lives or even live stream their suicides.
In response, Facebook announced a few months ago that it would be taking more initiative in using its platform for social good. One of Facebook’s tools to aide with suicide prevention is artificial intelligence.
Facebook has developed algorithms that recognize patterns in user’s posts to flag them in case they are at risk of committing suicide. Critics hav ...
My recent InfoWorld blog took aim at Elon Musk’s recent call for regulation of AI research. While a deregulation-minded Washington is unlikely to set up a new federal AI agency to oversee AI applications and research, Musk insists that he wants exactly that.
In remarks after his comments to the National Governors Association meeting, Musk clarified that “the process of seeking the insight required to put in place informed rules about the use and development of AI should start now. Musk compared it to the process of establishing other government bodies regulating use of technology in industry, including the FCC and the FAA. “I don’t think anyone wants the FAA to go away,” he said.”
But this is even more worrisome. He is proposing establishing an agency with full regulatory authority over every use of AI. After setting up such an omnibus regulatory structure, then he wants the agency to figure out what it should do!
But this ...
Towards the conclusion of many legal investigations, lawyers typically find themselves mired in paperwork, documents that span several years if not decades of information pertaining to a specific issue. Legal teams are then tasked with the seemingly insurmountable challenge of sifting through millions of these spreadsheets, emails, and other documents and sorting them into the necessary categories. Not only is this process extremely inconvenient and inefficient, it is also incredibly costly and runs the risk of missing important information that is relevant to a case, information that could show that fraud has taken place.
A few weeks ago, SIIA published an AI Spotlight on the benefits of FICO’s AML Threatscore tool which uses artificial intelligence to detect for irregular financial activities like money laundering, terrorist financing, and fraud. In that same vein, this week’s Spotlight is on AI technology that intuitively aids in the sifting an ...
You probably have gotten a call or email from your credit card issuer asking if you made a particular transaction. Ever wonder what triggered it? Turns out it is a form of artificial intelligence called a neural network. Instead of creating general rules about what transactions are likely to be fraudulent, a neural network just looks at all your transactions and figures out your very own individual pattern of usage. If a new transaction is significantly out of pattern, that’s when you get the call or the email.