As AI begins to reshape how music is made, our legal systems are going to be confronted with some messy questions regarding authorship. From Musk’s perspective, here’s what is going on: Researchers – especially at Alphabet’s Google Deep Mind, the AI research organization that developed AlphaGo and AlphaZero – are eagerly working toward complex and powerful AI systems. Indeed, they’re so complicated that this single image has sparked heated disagreement among AI academics, engineers, and researchers. Facebook’s chief AI scientist Yann LeCun became a flashpoint for these conversations after tweeting a response to the image saying that “ML systems are biased when data is biased,” and adding that this sort of bias is a far more serious problem “in a deployed product than in an academic paper.” The implication being: let’s not worry too much about this particular example. This speaks to a different and more pervasive sort of bias: one that operates on a social level. Deborah Raji, a researcher in AI accountability, tells The Verge that this sort of bias is all too typical in the AI world. Climate change is another issue where I’m convinced AI can make the world more equitable.
It could also be an issue if an AI-created work were marketed as sounding like a particular artist without that artist’s consent, in which case, it could violate persona or trademark protections, Rose says. Even if an AI system did closely mimic an artist’s sound, an artist might have trouble proving the AI was designed to mimic them, says Aimonetti. Many researchers, Raji among them, took issue with LeCun’s framing, pointing out that bias in AI is affected by wider social injustices and prejudices, and that simply using “correct” data does not deal with the larger injustices. “Yann LeCun leads an industry lab known for working on many applied research problems that they regularly seek to productize,” says Raji. Failing to address the problem of bias at the research stage just perpetuates existing problems. What it hides, however, is that the problem of bias goes far deeper than any dataset or algorithm.
On a technical level, some experts aren’t sure this is even an example of dataset bias. For example, a dataset of faces that accurately reflected the demographics of the UK would be predominantly white because the UK is predominantly white. Not coincidentally, it’s white men who dominate AI research. An algorithm trained on this data would perform better on white faces than non-white faces. When you purchase a song, Mammen asks, are you also purchasing the right to use its audio as AI training data? The faces created by these processes are imaginary and, as the above examples show, have little relation to the ground truth of the input. In other words, “fair” datasets can still created biased systems. “Getting to that point might only be available to the biggest artists that can afford it,” says Becker. However, with the increasing power of computers and other technologies, it might eventually be possible to build a machine that is significantly more intelligent than humans.
“Given the basic existence of people of color, the negligence of not testing for this situation is astounding, and likely reflects the lack of diversity we continue to see with respect to who gets to build such systems,” says Raji. Then, the question of overcoming humans is intrinsically related to the question of build conscious machines. The question of whether machines can have consciousness is not new, with proponents of strong artificial intelligence (strong AI) and weak AI having exchanged philosophical arguments for a considerable period of time. For example we need many more places that can make chips and ideally do so at much smaller scale than we have today. He mentions that the system will be aware that more people getting Covid will make the virus mutate-therefore making it more difficult to develop a vaccine for all variants. Embracing artificial intelligence can bring immense benefits to content marketers, allowing them to become more productive and produce superior content in a fraction of the time it would traditionally take. Hawking’s book A Brief History of Time sold more than 10 million copies and tackled questions as big as “How did the universe begin?