Remove what-we-do build
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“Human error”: How can we help people build models that do what they expect

O'Reilly on Data

This is a keynote from TensorFlow World in Santa Clara, California 2019. See more keynotes from this event.

Modeling 134
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ChatGPT, Author of The Quixote

O'Reilly on Data

We have many current and future copyright challenges: training may not infringe copyright, but legal doesn’t mean legitimate—we consider the analogy of MegaFace where surveillance models have been trained on photos of minors, for example, without informed consent. Because, in some sense, hallucination is all LLMs do.

Modeling 273
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Will AI kill jobs? History says otherwise

CIO Business Intelligence

With AI poised to transform work today, we all have some degree of fear that our jobs will go the way of the Pony Express. But we miss the full story when we focus only on the fate of the famed riders. What should enterprises learn from the past in order to thrive during this rapidly advancing intelligence revolution?

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Rising Tide Rents and Robber Baron Rents

O'Reilly on Data

Why is it that Google, a company once known for its distinctive “Do no evil” guideline, is now facing the same charges of “surveillance capitalism” as Facebook, a company that never made such claims? What Is Economic Rent? They are a price that we pay for a rising tide of innovation. But not all rents represent abuse of power.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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Copyright, AI, and Provenance

O'Reilly on Data

If the output of a model can’t be owned by a human, who (or what) is responsible if that output infringes existing copyright? Is an artist’s style copyrightable, and if so, what does that mean? How do we make sense of this? What should copyright law mean in the age of artificial intelligence?

Modeling 251
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You Can’t Regulate What You Don’t Understand

O'Reilly on Data

Most notably, The Future of Life Institute published an open letter calling for an immediate pause in advanced AI research , asking: “Should we let machines flood our information channels with propaganda and untruth? Should we automate away all the jobs, including the fulfilling ones? What we need to know is what they are being told.

Metrics 283
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Tough Bosses, Unrealistic Goals, and Other Corporate Challenges That a Customer-Centric Product Strategy Can Empower You to Solve

Speaker: Bob Caporale, Founder of Strategy Generation Company

And have you ever had your boss tell you to just “make those goals happen,” even in the absence of any clear plan that might allow you to do just that? So how do we solve this problem? And that’s exactly what we’re. going to learn how to do in this webinar!

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How Digital Transformation will Bend the Curve of the Linear Economy Toward the Circular

Speaker: Bruce Armstrong Taylor, Co-Founder & Managing Director of SmartNations Foundation, Jimmy Jia, Venture Partner at Pi Labs, Fabienne Durand, Senior Advisor to the SmartNations Foundation, & Roger Strukhoff, Executive Director of the Tau Institute

We see it in many ways already. What can we do in our corporate organizations, in our homes and communities, to change the current course? How fast and at what scale can the Linear Economy curve be bent toward the Circular? What will be needed from governments at all levels globally in terms of carrots and sticks?