Posts Under: AI and Automation

AI Landscape: China Overtaking the United States is Possible but Not Inevitable

SIIA has done many artificial intelligence (AI) spotlights this year where we have featured impressive, boundary-breaking technology in the space.  We have also released a handful of issue briefs, culminating in the most recent brief that we’ve released on Algorithms and Ethics.  What we have not done until this point, is feature how different countries and regions across the globe are prepared to handle AI, will benefit from AI, and how they plan to use AI in the future.  In an effort to compare these regions to each other, we will begin publishing the AI Landscape series as an accessory to the AI Spotlight series where we will do just these things.  We begin this series with a feature on China. China According to PricewaterhouseCoopers (PWC), global GDP will receive a boost by $16 trillion by 2030 as a result of AI technology.  Nearly half of all that growth will come from China with AI increasing GDP in China by an estimated 1% each year.  C ...

more

AI Spotlight: Solving Anne Frank’s Betrayal with Artificial Intelligence

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 ...

more

AI Spotlight: Fighting Cancer with Machine Learning and Precision Medicine

According to the National Cancer Institute, in 2016, there were 1,685,210 newly diagnosed cases of cancer in America with 595,690 deaths.  With such staggering numbers, millions of dollars are poured into research into how to fight and treat cancer.  One of the newer innovations in cancer treatment is the increased use of machine learning and precision medicine.  Precision medicine is the act of specifically tailoring a patient’s treatment to his or her own genetic needs.  To do this, machine learning helps doctors provide the best care possible by using predictive analytics to recommend specific treatments.  This week’s AI spotlight will focus on how the Swedish Cancer Institute is partnering with the company GNS Healthcare to use machine learning to better treat cancer patients. Machine learning has serious potential to aid in cancer treatment.  According to the Executive Director of the Swedish Cancer Institute, Thomas Brown, MD, it is ra ...

more

AI Spotlight: Using Machine Learning to Detect Counterfeit Goods

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 ...

more

SIIA Releases Issue Brief on Ethical Use of Big Data and Artificial Intelligence

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 ...

more

AI Spotlight: How Predictive Analytics are Reshaping Post-Hurricane Insurance Claim Response

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. 

more

Model Explanations are Part of Ethical Data Practice

Institutions involved in predictive modeling are using ever more advanced techniques to predict outcomes of interest from credit scoring to facial recognition to spam detection.  Institutions assess the performance of these models through standard measures such as accuracy (the number of correct predictions divided by the total number of predictions) or error rate (the number of incorrect predictions divided by the total number of predictions).  They can in addition assess the fairness of their predictions with respect to vulnerable groups using measures such as predictive parity across groups, statistical parity, or equal error rates. Institutions also face legal and ethical obligations to explain the basis of their consequential decisions to those who are affected, to regulators and to the general public.  The idea is that people have rights based on autonomy and dignity to be able to understand why institutions make the decisions they do. When predictive models are ...

more

Facebook Leverages Advertising to Stop the Spread of Fake News

Just like much of the content on the internet, fake news is funded largely by advertising.  Therefore, this week Facebook announced that pages that share “fake news,” or false stories masquerading as truth, will no longer be allowed to advertise on its platform.  The goal is straightforward:  to punish pages that link to stories that are marked as “false” by third-party fact-checkers from making money. 

more

Google Implements Latest Steps to Combat Online Extremism

In the wake of the tragic violence in Charlottesville earlier this month, it’s even more evident that online extremism continues to pose serious threats to society. While battling extremism is an important step in preventing the spread of hate and violence around the world, there are many inherent challenges, including the sheer volume of daily posts, complexity of purpose for videos, and the need to adhere to free speech rights.  In spite of these challenges, industry has been committed to this effort for many years—we’ve highlighted some of this in the past, including industry efforts to cooperate with law enforcement, and formation of a partnership to fight terrorism.

more