Weekend edition, long reads, links + streams
AI and Music [TheVerge] The heart of this problem is that current US copyright law never differentiates between humans and non-humans. But, the Compendium of US Copyright Office Practices actually spends a lot of time talking about how humanness is a requirement for being considered a legal author. In an internal staff guidebook for the Copyright Office, the Compendium has a section titled, “The Human Authorship Requirement.”
Spotify’s Stock Is Risky Because the Music Industry Is Not Changing Fast Enough [Barrons] Some investors believe that the streaming service could become the Netflix of audio. But Apple, Amazon, and the record labels stand in the way.
Ian McEwan: ‘I write to find where I’m going’ [FT] “I take the materialist view that if we could find equivalence to all those neurons and axons and synapses, those are clearly sufficient necessary conditions of a consciousness,” says McEwan. “In other words, the mind is what the brain does from my point of view. And I am not really sure what other point of view there can be unless you are a vitalist, or you think that consciousness is the function of some being from heaven.”
American Masters – S33 E6: Garry Winogrand: All Things are Photographable. [PBS] Discover the life and work of Garry Winogrand, the epic storyteller in pictures who harnessed the serendipity of the streets to capture the American 1960s-70s. His “snapshot aesthetic” is now the universal language of contemporary image-making. Directed by Sasha Waters Freyer (Independent Lens: Razing Appalachia).
Giving Generative Art Its Due [artnome] Generative art, once perceived as the domain of a small number of “computer nerds,” is now the artform best poised to capture what sets our generation apart from those that came before us – ubiquitous computing. As children of the digital revolution, computing has become our greatest shared experience. Like it or not, we are all now computer nerds, inseparable from the many devices through which we mediate our worlds.
The Rise of Generative Adversarial Networks [kdnuggets] A comprehensive overview of Generative Adversarial Networks, covering its birth, different architectures including DCGAN, StyleGAN and BigGAN, as well as some real-world examples.
INTV: Dir of ML at Apple – Ian Goodfellow: Generative Adversarial Networks (GANs) | MIT Artificial Intelligence (AI) Podcast
Gotta Catch ‘Em All: Using Concealed Trapdoors to Detect Adversarial Attacks on Neural Networks [arXiv] Trapdoors are the new honey-pots
Who’s using your face? The ugly truth about facial recognition [FT] This apparently porous relationship between an “academic” use of data that has been collected without consent, and the commercial exploitation of that same data, highlights the complex ethical questions surrounding face sets. The paper in which Boult introduced his dataset has been cited by six universities in Chile, Italy and the US and downloaded by at least four private companies based in Europe, China and the US, none of which seems to have published its work
Ethics committee raises alarm over ‘predictive policing’ tool [guardian] A report by West Midlands police’s ethics committee, however, raised concerns about the project. They said there were a lot of “unanswered questions giving rise to the potential for ethical concerns”.
Werner Herzog ¨Piracy has been the most successful form of distribution worldwide,”
Live Streaming Schedule
Coachella streaming all weekend