The One Divide Between Porn and Art that Can Never Be Overcome
Can pornography be art? No, argues Alva Noë, because porn is an instrument with a certain function in mind (sexual arousal) and works of art are not instruments.
Alva Noë is a writer and a philosopher who lives in New York City and Berkeley. His work focuses on the nature of mind and human experience. He is the author of Action in Perception (The MIT Press, 2004), Out of Our Heads (Farrar Straus and Giroux, 2009), Varieties of Presence (Harvard University Press, 2012), and Strange Tools (2015). Noë, who received his Ph.D. from Harvard in 1995, is Professor of Philosophy at the University of California in Berkeley, where he is also a member of the Institute for Cognitive and Brain Sciences and the Center for New Media. He has been Distinguished Professor of Philosophy at the Graduate Center of the City University of New York. He has been philosopher-in-residence with The Forsythe Company and has recently begun a performative-lecture collaboration with Deborah Hay. Noë is a 2012 recipient of a Guggenheim fellowship and a weekly contributor to National Public Radio's science blog 13.7: Cosmos and Culture.
Alva Noë: Pornography is an instrument with a certain function in mind. People use pornography to get sexual pleasure. Frankly it’s for masturbating to. That’s what it’s for. On my theory, works of art are not instruments. They don’t have functions. They’re not tools. Works of art subvert functions. They disrupt functions. They interrupt functions. And they do that because the disruption, interruption can be revelatory. Because think about a simple tool like a doorknob. We use doorknobs effortlessly. There’s the door. Turn it; walk right through. We don’t stop and think about it. If we do have to stop and think about it, there’s probably some problem with the doorknob’s design. But think how much is presupposed by a doorknob. That we have a hand like the kind of hands that we have. That our bodies are the right size that we are. That we live in buildings. That we get from one room to another. So much is presupposed by the institution of the doorknob.
So what would a strange doorknob be? It would be a doorknob that somehow didn’t work or was in the wrong place. And that therefore called all of the stuff just hidden in the background into the foreground and that’s the kind of thing I mean by saying a strange tool reveals us to ourselves. So in one sense I think there could be pornographic art. There could be art that worked with sex and that worked with explicit sex and that worked with the ingredients of fantasy and the erotic and all the other things that go into pornography — violence, degradation, all the different things that go into pornography. My only stipulation is that it wouldn’t be good for masturbating because it wouldn’t be giving you what you want because art is in the business of questioning what your wants presuppose. Pornography never defies expectations. If it does, it doesn’t perform its function. Just as a doorknob that you need to stop and wonder how to use wouldn’t be a very good doorknob. But art happens precisely when expectations are defied. Art happens precisely when that which we’re taking for granted is forced on — we’re forced to reflect on what we’ve been taking for granted. And that’s why I don’t think there can be pornographic art.
Can pornography be art? No, argues Alva Noë, because porn is an instrument with a certain function in mind (sexual arousal) and works of art are not instruments. They are not tools. They have no function. Instead, they subvert functions. They disrupt them.
Pornography never defies expectations. If it does, it doesn’t perform its function. That's why, according to Noë, it can't be classified as art.
Philosopher Alva Noë's latest book is titled Strange Tools: Art and Human Nature.
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Northwell Health is using insights from website traffic to forecast COVID-19 hospitalizations two weeks in the future.
- The machine-learning algorithm works by analyzing the online behavior of visitors to the Northwell Health website and comparing that data to future COVID-19 hospitalizations.
- The tool, which uses anonymized data, has so far predicted hospitalizations with an accuracy rate of 80 percent.
- Machine-learning tools are helping health-care professionals worldwide better constrain and treat COVID-19.
The value of forecasting<img type="lazy-image" data-runner-src="https://assets.rebelmouse.io/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpbWFnZSI6Imh0dHBzOi8vYXNzZXRzLnJibC5tcy8yNTA0Njk2OC9vcmlnaW4uanBnIiwiZXhwaXJlc19hdCI6MTYyMzM2NDQzOH0.rid9regiDaKczCCKBsu7wrHkNQ64Vz_XcOEZIzAhzgM/img.jpg?width=980" id="2bb93" class="rm-shortcode" data-rm-shortcode-id="31345afbdf2bd408fd3e9f31520c445a" data-rm-shortcode-name="rebelmouse-image" data-width="1546" data-height="1056" />
Northwell emergency departments use the dashboard to monitor in real time.
Credit: Northwell Health<p>One unique benefit of forecasting COVID-19 hospitalizations is that it allows health systems to better prepare, manage and allocate resources. For example, if the tool forecasted a surge in COVID-19 hospitalizations in two weeks, Northwell Health could begin:</p><ul><li>Making space for an influx of patients</li><li>Moving personal protective equipment to where it's most needed</li><li>Strategically allocating staff during the predicted surge</li><li>Increasing the number of tests offered to asymptomatic patients</li></ul><p>The health-care field is increasingly using machine learning. It's already helping doctors develop <a href="https://care.diabetesjournals.org/content/early/2020/06/09/dc19-1870" target="_blank">personalized care plans for diabetes patients</a>, improving cancer screening techniques, and enabling mental health professionals to better predict which patients are at <a href="https://healthitanalytics.com/news/ehr-data-fuels-accurate-predictive-analytics-for-suicide-risk" target="_blank" rel="noopener noreferrer">elevated risk of suicide</a>, to name a few applications.</p><p>Health systems around the world have already begun exploring how <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7315944/" target="_blank" rel="noopener noreferrer">machine learning can help battle the pandemic</a>, including better COVID-19 screening, diagnosis, contact tracing, and drug and vaccine development.</p><p>Cruzen said these kinds of tools represent a shift in how health systems can tackle a wide variety of problems.</p><p>"Health care has always used the past to predict the future, but not in this mathematical way," Cruzen said. "I think [Northwell Health's new predictive tool] really is a great first example of how we should be attacking a lot of things as we go forward."</p>
Making machine-learning tools openly accessible<p>Northwell Health has made its predictive tool <a href="https://github.com/northwell-health/covid-web-data-predictor" target="_blank">available for free</a> to any health system that wishes to utilize it.</p><p>"COVID is everybody's problem, and I think developing tools that can be used to help others is sort of why people go into health care," Dr. Cruzen said. "It was really consistent with our mission."</p><p>Open collaboration is something the world's governments and health systems should be striving for during the pandemic, said Michael Dowling, Northwell Health's president and CEO.</p><p>"Whenever you develop anything and somebody else gets it, they improve it and they continue to make it better," Dowling said. "As a country, we lack data. I believe very, very strongly that we should have been and should be now working with other countries, including China, including the European Union, including England and others to figure out how to develop a health surveillance system so you can anticipate way in advance when these things are going to occur."</p><p>In all, Northwell Health has treated more than 112,000 COVID patients. During the pandemic, Dowling said he's seen an outpouring of goodwill, collaboration, and sacrifice from the community and the tens of thousands of staff who work across Northwell.</p><p>"COVID has changed our perspective on everything—and not just those of us in health care, because it has disrupted everybody's life," Dowling said. "It has demonstrated the value of community, how we help one another."</p>
Archaeologists discover a cave painting of a wild pig that is now the world's oldest dated work of representational art.
- Archaeologists find a cave painting of a wild pig that is at least 45,500 years old.
- The painting is the earliest known work of representational art.
- The discovery was made in a remote valley on the Indonesian island of Sulawesi.
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The Persian polymath and philosopher of the Islamic Golden Age teaches us about self-awareness.
A leading British space scientist thinks there is life under the ice sheets of Europa.
- A British scientist named Professor Monica Grady recently came out in support of extraterrestrial life on Europa.
- Europa, the sixth largest moon in the solar system, may have favorable conditions for life under its miles of ice.
- The moon is one of Jupiter's 79.
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Can computers do calculations in multiple universes? Scientists are working on it. Step into the world of quantum computing.
- While today's computers—referred to as classical computers—continue to become more and more powerful, there is a ceiling to their advancement due to the physical limits of the materials used to make them. Quantum computing allows physicists and researchers to exponentially increase computation power, harnessing potential parallel realities to do so.
- Quantum computer chips are astoundingly small, about the size of a fingernail. Scientists have to not only build the computer itself but also the ultra-protected environment in which they operate. Total isolation is required to eliminate vibrations and other external influences on synchronized atoms; if the atoms become 'decoherent' the quantum computer cannot function.
- "You need to create a very quiet, clean, cold environment for these chips to work in," says quantum computing expert Vern Brownell. The coldest temperature possible in physics is -273.15 degrees C. The rooms required for quantum computing are -273.14 degrees C, which is 150 times colder than outer space. It is complex and mind-boggling work, but the potential for computation that harnesses the power of parallel universes is worth the chase.