Analytics & Optimization Why We Need Explainable AI (Video)

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As artificial intelligence reaches new areas such as risk management in banking, explainable AI will become more important. That’s the message FICO’s Derek Dempsey gives in a video interview recorded with Compare the Cloud. Derek, a principal consultant with Fair Isaac Advisors who was named one of the Big Data 100 by DataIQ magazine in 2015, discusses the impact AI and machine learning have had in fraud detection, and the growing use in financial services. Risk management has greater requirements for explaining decisions, Derek says, and this will force AI developers to think differently. For more on this topic, read Scott Zoldi’s blog posts on explainable AI. Watch the video on Compare the Cloud

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Analytics & Optimization Explainable AI Breaks Out of the Black Box

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Over the last 12 months or so there’s been incredible excitement about artificial intelligence and all of the amazing things it can do for us—everything from driving cars to making pizza (super-cool video!). But — and this is a big “but” — artificial intelligence comes with many challenges, including trying to decipher what these models have learned, and thus their decision criteria. In my last post, I discussed how regulations such as Europe’s General Data Protection Regulation will demand Explainable AI. This is a field of science that attempts to remove the black box and deliver AI performance while also providing an explanation as to the “how” and “why” a model derives its decisions. DARPA says Explainable AI or XAI: Produces more explainable models, while maintaining a high level of learning performance (prediction accuracy); and Enables human users to understand, appropriately trust, and effectively manage the emerging generation of artificially intelligent partners. Three Ways... [Read More]

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Fraud & Security AI AML Models Help Find the Bad Eggs

AI AML Models

Hope you had a relaxing Easter weekend with family and friends! In between coloring eggs, if you picked up a paper or scrolled through a news site, you probably would have seen the news that $130 million cash was found at the house of the ousted president of Sudan and how the US government foiled a money laundering operation by drug traffickers using bitcoins. Money never sleeps, as they say. Not even for Easter and such events are on the rise and a cause of constant worry for compliance officers all around the world. AI AML Models: Solving a Big Problem So, here’s the key problem. Regulatory bodies around the world have pegged global money laundering at $2 trillion. What’s worse, they estimate that less than 1% is ever caught. So to try and combat this regulators have raised the penalties for institutions found to have facilitated money laundering whether... [Read More]

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Analytics & Optimization AI – What Chief Compliance Officers Care About

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Arguably, there are more financial institutions located in the New York metropolitan area than anywhere else on the planet, so it was only fitting for a conference on AI, Technology Innovation & Compliance to be held in NYC – at the storied Princeton Club, no less. A few weeks ago I had the pleasure of speaking at this one-day conference, and found the attendees’ receptivity to artificial intelligence (AI), and creativity in applying it, to be inspiring and energizing. Here’s what I learned. CCOs Want AI Choices As you might expect, the Chief Compliance Officers (CCOs) attending the AI conference were extremely interested in applying artificial intelligence to their business, whether in the form of machine learning models, natural language processing or robotic process automation – or all three. These CCOs already had a good understanding of AI in the context of compliance, knowing that: Working the sets of rules... [Read More]

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