Lifeboat Foundation

An Artificial Intelligence (AI) produced DeepFake video could show Donald Trump saying or doing something extremely outrageous and inflammatory – just imagine that! Crazy I know, and some people might find it believable and in a worst case scenario it might sway an election, trigger violence in the streets, or spark an international armed conflict.

WHY THIS MATTERS IN BRIEF We are now locked in a war as nefarious actors find new ways to weaponsise deepfakes and fake news, and defenders try to figure out how to discover and flag it. Interested in the Exponential Future? Connect, download a free E-Book, watch a keynote, or browse my.

Continue reading “World leaders can rest easy for now after researchers find new ways to reveal DeepFakes” »

YouTube says it took down a record number of videos in the second quarter of this year due to an increased use of AI in its content review efforts.

In total, 10.85 million of the 11.4 million videos removed from the platform between April and June were flagged by automated systems, according to YouTube‘s latest Community Guidelines Enforcement Report.

AI played an even bigger role in the removal of user comments. Of the 2.1 million comments taken down, 99.2% were detected by automated systems.

For Dr. Cecily Morrison, research into how AI can help people who are blind or visually disabled is deeply personal. It’s not only that the Microsoft Principal Researcher has a 7-year-old son who is blind, she also believes that the powerful AI-related technologies that will help people must themselves be personal, tailored to the circumstances and abilities of the people they support.

We will see new AI techniques that will enable users to personalize experiences for themselves,” says Dr. Morrison, who is based at Microsoft Research Cambridge and whose work is centered on human-computer interaction and artificial intelligence. “Everyone is different. Having a disability label does not mean a person has the same needs as another with the same label. New techniques will allow people to teach AI technologies about their information needs with just a few examples in order to get a personalized experience suited to their particular needs. Tech will become about personal needs rather than disability labels.”

🤔 “The White House today detailed the establishment of 12 new research institutes focused on AI and quantum information science. Agencies including the National Science Foundation (NSF), U.S. Department of Homeland Security, and U.S. Department of Energy (DOE) have committed to investing tens of millions of dollars in centers intended to serve as nodes for AI and quantum computing study.

Laments over the AI talent shortage in the U.S. have become a familiar refrain. While higher education enrollment in AI-relevant fields like computer science has risen rapidly in recent years, few colleges have been able to meet student demand due to a lack of staffing. In June, the Trump administration imposed a ban on U.S. entry for workers on certain visas — including for high-skilled H-1B visa holders, an estimated 35% of whom have an AI-related degree — through the end of the year. And Trump has toyed with the idea of suspending the Optional Practical Training program, which allows international students to work for up to three years in the U.S.”

The White House announced the creation of AI and quantum research institutes funded by billions in venture and taxpayer dollars.

Continue reading “White House announces creation of AI and quantum research institutes” »

As a child, you develop a sense of what “fairness” means. It’s a concept that you learn early on as you come to terms with the world around you. Something either feels fair or it doesn’t.

But increasingly, algorithms have begun to arbitrate fairness for us. They decide who sees housing ads, who gets hired or fired, and even who gets sent to jail. Consequently, the people who create them—software engineers—are being asked to articulate what it means to be fair in their code. This is why regulators around the world are now grappling with a question: How can you mathematically quantify fairness?

This story attempts to offer an answer. And to do so, we need your help. We’re going to walk through a real algorithm, one used to decide who gets sent to jail, and ask you to tweak its various parameters to make its outcomes more fair. (Don’t worry—this won’t involve looking at code!)

Astronomers have applied artificial intelligence (AI) to ultra-wide field-of-view images of the distant Universe captured by the Subaru Telescope, and have achieved a very high accuracy for finding and classifying spiral galaxies in those images. This technique, in combination with citizen science, is expected to yield further discoveries in the future.

A research group, consisting of astronomers mainly from the National Astronomical Observatory of Japan (NAOJ), applied a deep-learning technique, a type of AI, to classify galaxies in a large dataset of images obtained with the Subaru Telescope. Thanks to its high sensitivity, as many as 560,000 galaxies have been detected in the images. It would be extremely difficult to visually process this large number of galaxies one by one with human eyes for morphological classification. The AI enabled the team to perform the processing without human intervention.

But Ford appears to have found a unique way to use a robot. We’ve seen some interesting applications for Boston Dynamics’ Spot robot, and the latest takes the 70-pound dog-like robot to the floors of a Ford transmission manufacturing plant.

These plants are reportedly so old — and have been re-tooled so many times — that Ford is unsure as to whether it possesses accurate floor plans. With an end goal of modernizing and retooling these plants, Ford is using Spot’s laser scanning and imaging technology to travel the plants so they can produce a detailed map.

According to TechCrunch, the manual facility mapping process is time-intensive, with lots of stops and starts as cameras are set up and repositioned station to station. By using two continuously roving robots, Ford can do the job in about half the time. The other benefit is Spot’s size: these little critters can access areas that humans can’t easily get to, and with five cameras they can sometimes provide a more complete picture of their surroundings.

The 13ft robot responds to the actions of its handler who is seated in a central cockpit 🙌

Ruptly.

He claims that humans risk being overtaken by AI within the next five years, and that AI could eventually view us in the same way we currently view house pets.

“I don’t love the idea of being a house cat, but what’s the solution?” he said in 2016, just months before he founded Neuralink. “I think one of the solutions that seems maybe the best is to add an AI layer.”