The release of the Top Ten over hyped AI stories of 2019 has led the way for further promising ones, including this one, says engineer and philosopher Jonathan Bartlett: Was the machine cleverand sneaky or was it just programmed wrong? You decide. First, just to be clear, at Mind Matters we have nothing against AI. […]
Mistaking a teapot shape for a golf ball, due to surface features, is one striking example from a recent open-access paper: The networks did “a poor job of identifying such items as a butterfly, an airplane and a banana,” according to the researchers. The explanation they propose is that “Humans see the entire object, while […]
Montanez: The AI and ML systems we have in place today are not sentient, but they are still dangerous. I am not worried about the future of AI, but I am concerned about the dangers artificial learning systems currently pose.
Scary predictions are a thriving business but that does not make them a road map to the future.
Current indications are that Moore’s law’s speed has already slowed or even ceased to be a true description of the information technology (IT) industry today…
Okay, let’s start with Can an algorithm be racist? Well, the machine has no opinion. It processes vast tracts of data. But, as a result, the troubling hidden roots of some data are exposed.
Watson won at Jeopardy (with specially chosen “softball” questions) but is not the hoped-for aid to cancer specialists.
AI help, not hype, with Robert J. Marks: Software can automatically generate word sequences based on material fed in from existing scripts: In 2016, Ars Technica was proud to be sponsoring “the first AI-written sci-fi script:” As explained in The Guardian, a recurrent neural network “was fed the scripts of dozens of science fiction movies […]
Fred Brooks says that human intelligence augmented by artificial intelligence will always beat artificial intelligence alone. Is he right? Jed Macosko, an assistant prof at Wake Forest University, explains: Before we envision scary scenes from The Matrix, we need to remember that Zor, Deep Blue, and any future AI systems are inevitably designed by humans. […]
Some are apparently wowed. Others remain unwowed.
AI help, not hype, with Robert J. Marks: AI can carry out its programmers’ biases and that’s all: Some people may be under the illusion that AI detection of hate speech will be disinterested and fair. After all, the assessment is being done by a computer, which has no ideology or political leanings. An added […]
AI adopts a solution in an allowed set, maybe not the one you expected:. In the same paper in which researchers purported to find examples of AI creativity, we also read the following statement about problems with performance: “Exacerbating the issue, it is often functionally simpler for evolution to exploit loopholes in the quantitative measure […]
Programmers may be surprised by which solution, from a range they built in, comes out on top
AI help, not hype, with Robert J. Marks: Can we create superintelligent computers just by adding more computing power? The claim that AI can be written to evolve even smarter AI is slowly being abandoned. AI software pioneer François Chollet, for example, concluded in “The Impossibility of Intelligence Explosion” that the search should be abandoned: […]
From the 2018 AI Hype Countdown at Mind Matters #9: AI help, not hype, with Robert J. Marks: What would it take for a robot to be self-aware? The Army Times headline would jolt your morning coffee: Army researchers are developing a self-aware squid-like robot you can 3D print in the field Reporter Todd South […]