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Avoiding one of AI’s greatest challenges: the misuse of data

It’s clear that the next evolution of enterprise investment will be dedicated to the automation of business workflows. More specifically, investment will be targeted on the augmentation of human operations with machine learning and artificial intelligence, or ML/AI. This investment is predicated upon the notion that business-critical insights will derive from powerful, complex algorithms crunching...

What’s A Legal Engineer?

Just over a year ago, I wrote a blogpost titled “A Lawyer and A Data Scientist Walk Into A Bar” about what it’s like to work at the intersection of data science and the law. This was in response to many questions I received from friends and colleagues at the FBI and elsewhere about my...

New York City Aims to Bring Accountability to Algorithms with New Bill

In December, New York City unanimously passed a bill to bring transparency into the way that the city’s government agencies use algorithms to drive decisions.  This is a topic we care deeply about. At the core of Immuta’s technology and our belief is the ability to quickly connect to and control data for advanced analytics....

Compliance in the Future: Machine-Executable Rules

Coming, in the not-too-distant future: A world where regulations are automatically incorporated into companies’ policies. This would allow businesses to more quickly and more accurately conform to regulatory changes, let them better deploy their human compliance personnel and give regulators immediate visibility into companies’ compliance efforts. Embedding regulations into algorithms was proven possible in a recent...

Immuta’s ODSC West Talk

I had the opportunity to speak at ODSC West on the collision of data science and data privacy. This talk focuses on how easily data privacy can be broken in the age of big data. I then delve into strategies you should implement to manage data and the models trained from them to meet regulatory...

Leave A.I. Alone

The broad calls for regulating artificial intelligence are premature, our CPO Andrew Burt argues in the New York Times. Simply put, regulating an assemblage of technology we can’t clearly define is a recipe for poor laws and even worse technology. Read the full New York Times article here.

Artificial intelligence doesn’t require burdensome regulation

One of the most important issues that Congress will face in 2018 is how and when to regulate our growing dependence on artificial intelligence (AI). During the U.S. National Governors Association summer meetings, Elon Musk urged the group to push forward with regulation “before it’s too late,” stating that AI was an “existential threat to...

Financial Services and the Future of Regulation

Last month, Immuta had the pleasure of working with the UK’s Financial Conduct Authority (FCA) and Bank of England (BoE) in a “Tech Sprint” designed to bring financial regulation into the machine age. The underlying goal of the Tech Sprint was to produce model driven, machine readable – and ultimately machine executable – regulations to...

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