As the race to create increasingly powerful AI accelerates, and as governments increasingly test capabilities in weapons, many AI experts worry that an equally terrifying AI arms race may already be under way.
In fact, at the end of 2015, the Pentagon requested $12-$15 billion for AI and autonomous weaponry for the 2017 budget, and the Deputy Defense Secretary at the time, Robert Work, admitted that he wanted “our competitors to wonder what’s behind the black curtain.”
This article is part of a weekly series on the 23 Asilomar AI Principles. The Principles offer a framework to help artificial intelligence benefit as many people as possible.
Traditionally, a loan officer who rejected an application could tell a would-be borrower there was a problem but computerized systems that use complex machine learning models are difficult to explain, even for experts.
In this Forbes article Anupam Datta Associate Professor of Computer
Science and Electrical and Computer Engineering at Carnegie Mellon University explains the risks and rewards of this method.
Google’s hybrid approach combines classic neuroevolution with the techniques, like backpropagation, that have made deep learning so powerful today: Teach an algorithm how to act in the world, let it evolve, and that algorithm’s child will have most of the accrued knowledge. OpenAI’s approach was more true to how evolution works in biology. The team only let the randomised mutations in every generation govern how the networks improved or failed, meaning improvement was only created through random evolution. But both attempts had very clear goals—recognize an image, or get a high score in a game (or make a horse run faster). How the algorithms got there was up to nature.
Here’s the latest installment of Rachel Thomas’s Ask-A-Data-Scientist advice column. She makes clear that although Machine learning hasn’t been fully commoditized yet, that doesn’t mean you need a PhD.
A West Virginia teenager has created a rapping A.I. bot that self-generates bars using Kanye West lyrics. Robbie Barrat, 17, uses open-source code and programmed the A.I. with 6,000 Kanye lines and finished the project in a week to show his peers at the next club meeting. “Originally it just rearranged existing rap lyrics, but now it can actually write word-by-word,” Barrat said. The bot can also incorporate pauses for rhythm and effect. Barrat is now working on more neural networks that can potentially write melodies and produce “abstract art.”
Arthena, which is part of the current batch of startups at Y Combinator, says it can help investors double the art market’s standard annual return of 10 percent reliably from art. Founder and CEO Madelaine D’Angelo said Arthena first launched as an equity crowdfunding platform for purchasing art. More recently, it’s added financial tools to create “accommodate that quantitative strategy for the art market.”
Amazon’s acquisition of startup Harvest.ai is a natural fit for the company.
Harvest.ai uses AI-based algorithms to identify the most important documents and intellectual property of a business, then combines user behavior analytics with data loss prevention techniques to protect them from cyber attacks.