If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Today marked the conclusion of VentureBeat's Transform 2020 summit, which took place online for the first time in our history. Luminaries including Google Brain ethicist Timnit Gebru and IBM AI ethics leader Francesca Rossi spoke about how women are advancing AI and leading the trend of AI fairness, ethics, and human-centered AI. Twitter CTO Parag Agrawal detailed the social network's efforts to apply AI to detect fake or hateful tweets. Pinterest SVP of technology Jeremy King walked through learnings from Pinterest's explorations of computer vision to create "inspirational" experiences. And Unity principal machine learning engineer Cesar Romero brought clarity to the link between synthetic data sets and real-world AI model training.
Even before president Trump's executive order on June 22, the US was already bucking global tech immigration trends. Over the past five years, as other countries have opened up their borders to highly skilled technical people, the US has maintained--and even restricted--its immigration policies, creating a bottleneck for meeting domestic demand for tech talent. Now Trump's decision to suspend a variety of work visas has left many policy analysts worried about what it could mean for long-term US innovation. In particular, the suspension of the H-1B, a three-year work visa granted to foreign workers in specialty fields and one of the primary channels for highly skilled tech workers to join the US workforce, could impact US dominance in critical technologies such as AI. "America's key competitors are going in a different direction," says Tina Huang, a research analyst at Georgetown's Center for Security and Emerging Technology (CSET).
On an almost weekly basis news about breaches dominates headlines. The prevalence of attacks has created an ever-growing pool of stolen credentials that are routinely used to open fraudulent accounts, take out onerous loans, or max out cards. To deal with this problem, experts at Visa have come up with a way to use artificial intelligence and machine learning to reduce the stress felt by banks in trying to determine what applications are fake and which are real. Melyssa Barrett, Visa's vice president of Identity & Risk Products, explained in an interview that studies show 13 billion data records have been lost or stolen in global breaches since 2013 and there have been $10.2.billion in combined estimated losses in new account fraud ($3.4 billion) and account takeover ($6.8 billion) in the US in 2019. Visa said it created the Advanced Identity Score to reduce the amount of digital identity fraud.
For all the complaints in Trump's America about immigrants and threats to suspend visas like H1B, some areas would be woefully understaffed without talent from outside the country. They include the growing sector of artificial intelligence/machine learning. A recent study from MacroPolo, a thinktank run by the Paulson Institute in Chicago (founded by former Goldman Sachs CEO Henry M Paulson) found that only 20% of the world's top A.I. researchers come from the USA, while 29% come from China. The remainder are from Europe (18%), India (8%) and elsewhere. Even though the U.S. ony accounts 20% of top tier A.I. researchers (as defined by the nationality of individuals submitting papers to the 2019 Neural Information Processing Systems (NeurIPS) conference), the MacroPolo study found that it employs 59% of the top A.I researchers in the world.
Artificial intelligence in financial payments will be explored fully in March by the AI In Financial Services event and the AI In Finance Summit event in March. The AI In Financial Services event is scheduled for March 17th at the America Square Conference Centre in London. The AI in Finance Summit is slated for March 31 to April 1 at the etc Venues, also in London. The Technova AI In Financial Services event will focus on business transformation to robotic automation, customer innovation to ethical transparency, equipping attendees with the skills and expertise to capitalize on the artificial intelligence revolution, notes RAM Research and PYRPTS. Among noted speakers is Kathy Liu, Head In Innovation, HSBC Global Operations.
At the G7 meeting in Montreal last year, Justin Trudeau told WIRED he would look into why more than 100 African artificial intelligence researchers had been barred from visiting that city to attend their field's most important annual event, the Neural Information Processing Systems conference, or NeurIPS. Now the same thing has happened again. More than a dozen AI researchers from African countries have been refused visas to attend this year's NeurIPS, to be held next month in Vancouver. This means an event that shapes the course of a technology with huge economic and social importance will have little input from a major portion of the world. The conference brings together thousands of researchers from top academic institutions and companies, for hundreds of talks, workshops, and side meetings at which new ideas and theories are hashed out.
At the end of 2019, BlueDot, a Toronto-based company specializing in infectious disease surveillance using artificial intelligence and machine learning, let its customers know about the Wuhan coronavirus outbreak in China. That was a full week ahead of the U.S. Center for Disease Control and Prevention, which let Americans know on Jan. 6, and nine days ahead of the World Health Organization on Jan. 9. More than 100 people have died from the coronavirus worldwide. While the virus continues to spread, BlueDot was able to prevent its customers from exposing themselves to any issues before the outbreak had left China and traveled by plane to North America. BlueDot founder Kamran Khan founded the company in 2014 after seeing first hand what the SARS epidemic did to Toronto a decade earlier.
An algorithm deployed across the United States is now known to underestimate the health needs of black patients1. The algorithm uses health-care costs as a proxy for health needs. But black patients' health-care costs have historically been lower because systemic racism has impeded their access to treatment -- not because they are healthier. This example illustrates how machine learning and artificial intelligence can maintain and amplify inequity. Most algorithms exploit crude correlations in data.
Secretary of State Mike Pompeo scoffed Tuesday at a suggestion that Iranian Gen. Qassem Soleimani was on a diplomatic mission to Baghdad when a U.S. drone strike killed him, insisting that the story is "fundamentally false" and "propaganda." "Anybody here believe that?" Pompeo asked reporters when the claim was brought up during a Tuesday press briefing. "We know that wasn't true." The notion that Soleimani was on some sort of peace mission was first floated by Iraqi Prime Minister Adil Abdul-Mahdi, who reportedly said at a Sunday session he was scheduled to meet with Soleimani and discuss a message from Saudi Arabia regarding possible agreements in the region. Pompeo addressed the claim that Soleimani was supposed to work on a peace agreement with Saudi Arabia, stating that he spoke to Saudi officials about this.
DoD clearly has recognized artificial intelligence (AI) as the next game-changer in military competition, with the Pentagon and the services pouring money into numerous development programs. Indeed, mastering AI and machine learning will be crucial to the new way of war envisioned by Pentagon leadership: Multi-Domain Operations. But the US government may be shooting itself in the foot by overlooking a key problem: a lack of American AI specialists, argues Megan Lamberth co-author of "The American AI Century: A Blueprint for Action," a new report from the Center for New American Security. The United States is engaged in a global technology competition in artificial intelligence. But while the US government has shown commitment to developing AI systems that will positively transform the American economy and national security, the country has neglected its most important resource: talent.