TagMachine Learning
Governments Worldwide Pressured Twitter to Censor in 2020
World governments demanded the removal of content from 199 journalist sourcesTwitter released its latest Transparency Report on Wednesday, revealing that in the latter half of 2020, there was a 26% increase in requests from international governments to remove posts from verified journalists. The report tracks various data from July 1 to December 31, 2020, including global legal requests and Twitter Rules enforcement. Global legal requests are divided between information requests and removal requests. Twitter received over 14,500 global government information requests, and over 38,500 global legal demands to remove content. According to the report, “94% of the total global volume of legal demands originated from only five countries (in decreasing order): Japan, India, Russia, Turkey, and South Korea.” Of the information requests received, Twitter announced that they “produced some or Read More ›
Will Humans Ever Be Fully Replaceable by AI? Part 3
Data outlines what can be quantified but does not show the comparison between AI and human performance at the most important pointsTo get the right answer to the question of whether artificial intelligence will ever become capable of replacing man we must get the ontology, epistemology, and metrology right. Ontology seeks to understand the essential nature of things and the relationships between different things. Epistemology looks at what we can know and how accurately we can know what is knowable. Finally, metrology explores how we make measurements and comparisons. To get the right answer we must measure the right things (ontology), select what we will measure (epistemology), and determine how we make our measurements and comparisons with accuracy, precision, and repeatability (metrology). Mistakes in any of these areas will lead to a bad outcome. A common mistake is to measure what Read More ›
AI Smash Hits 2020 Part I
An ultimate test of a successful technology is whether it has been reduced to practice. Has it made a financial impact on the market? Has it been adopted by the very picky US military? Has it changed lives? We’re going to count down the AI Smash Hits: the top ten AI success stories for 2020. Join Dr. Robert J. Marks as he Read More ›
Machine Learning, Part 2: Supervised Learning
Machine learning isn’t hard to understand; it’s just different. Let’s start with the most common typeThe neat thing about machine learning is that the algorithm can extract general principles from the dataset that can then be applied to new problems. It is like the story that Newton observed an apple fall and then derived from it the general law of gravity that applies to the entire universe.
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Is Ray Kurzweil’s Singularity Now Nearer — or Impossible?
In response to Kurzweil’s talk at the COSM Technology Summit, panelists noted that AI achievements are revolutionary in size but limited by their nature in scopeGeorge Montañez, Assistant Professor of Computer Science at Harvey Mudd College, took issue with Kurzweil’s claim that AlphaGoZero needed no instructions to beat humans at the game of Go: “For a system like this to work, a human must define the incentive structure, also encoding the assumptions.” The sheer power of a computing system does not cause it to do anything at all.
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AI Is Not a Simple Fix for Plagiarism
The internet speeded up a perennial problem without changing itIf imitation is the sincerest form of flattery, plagiarism amounts to passing ourselves off as experts without tears. It’s not realistic to expect software to detect all of the subtleties.
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The Numbers Don’t Speak for Themselves
The patterns uncovered by machine learning may reflect a larger reality or just a bias in gathering dataBecause Machine Learning is opaque—even experts cannot clearly explain how a system arrived at a conclusion—we treat it as magic. Therefore, we should mistrust the systems until proven innocent (and correct).
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Part 1: Navigating the Machine Learning Landscape
To choose the right type of machine learning model for your project, you need to answer a few specific questions
Will the Free Market Help or Hurt Us in an AI-Empowered World?
We may need new institutions, such as insurance against job obsolescence
Does AI Art Spell the End of the Artist’s Way of Life?
An AI-produced painting sold at auction for $432,500. But is it a trend or just a novelty?Rather than announce that human artists are now doomed, software engineer Ben Dixon interviewed a number of them and came away with a rather different picture, that “AI-generated art will improve, but artistic creativity will remain a human discipline.”
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Is an Amoeba Smarter Than Your Computer?
Hype aside, the microbe’s math skills ace the Traveling Salesman problem and may help with cybersecurity
It’s 2019: Begin the AI Hype Cycle Again!
Media seemingly can’t help portraying today’s high-tech world as a remake of I, Robot (2004), starring you and me.
Researchers: Deep Learning Vision Is Very Different from Human Vision
Mistaking a teapot shape for a golf ball, due to surface features, is one striking example from a recent open-access paper
AI: Think About Ethics Before Trouble Arises
A machine learning specialist reflects on Micah 6:8 as a guide to developing ethics for the rapidly growing profession
Can an Algorithm Be Racist?
No, the machine has no opinion. It processes vast tracts of data. And, as a result, the troubling hidden roots of some data are exposed
2: AI Can Write Novels and Screenplays Better than the Pros!
AI help, not hype: Software can automatically generate word sequences based on material fed in from existing scripts. But with what result?“AI rites reel gud!” Seriously, the idea is not new. Back in the 1940s, George Orwell (1903–1950) thought that a machine could write popular novels so long as no creative thinking was involved. Thus, in his 1984 police state world, one of the central characters has a job minding a machine that mass produces them. In the 1960s, some film experiments were done along these lines, using Westerns (cowboy stories). At the time, there were masses of formula-based film material to work with in this popular genre. But what does the product look and sound like? In 2016, Ars Technica was proud to sponsor “the first AI-written sci-fi script:” As explained in The Guardian, a recurrent neural network “was fed the Read More ›
4: Making AI Look More Human Makes It More Human-like!
AI help, not hype, with Robert J. Marks: Technicians can do a lot these days with automated lip-syncs and smiles but what’s behind them?
9: Will That Army Robot Squid Ever Be “Self-Aware”?
AI help, not hype: What would it take for a robot to be self-aware?
This Year’s Top Ten AI Exaggerations, Hyperbole, and Failures: Part I
To end the year, here is our Top Ten Exaggerations, Hyperbole, and Failures list of hype news in artificial intelligence.
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