New book explores a future populated with robot helpers.
As Covid-19 has made it necessary for people to keep their distance from each other, robots are stepping in to fill essential roles, such as sanitizing warehouses and hospitals, ferrying test samples to laboratories, and serving as telemedicine avatars.
A heated debate is occurring at the University of Miami.
- Students say they were identified with facial recognition technology after a protest at the University of Miami; campus police claim this isn't true.
- Over 60 universities nationwide have banned facial recognition; a few colleges, such as USC, regularly use it.
- Civil rights groups in Miami have called for the University of Miami to have talks on this topic.
Arthur Holland Michel: The Future of Surveillance Technology<span style="display:block;position:relative;padding-top:56.25%;" class="rm-shortcode" data-rm-shortcode-id="8c330ab8c4df396f5313be796c0d96da"><iframe type="lazy-iframe" data-runner-src="https://www.youtube.com/embed/hIC-kaYcq34?rel=0" width="100%" height="auto" frameborder="0" scrolling="no" style="position:absolute;top:0;left:0;width:100%;height:100%;"></iframe></span><p>Americans don't always agree with that assessment, especially on college campuses. Over 60 universities—Harvard, MIT, and UCLA are on the list—have banned facial recognition. Of the few schools that utilize it, USC lets students enter their rooms via face scans; the software also ensures intruders cannot access buildings.</p><p>These are great uses of this technology. You could argue it's how any progress with our devices should work: in service of people. The problem, of course, is that those in power don't tend to stop when they have a little taste of the possibilities.</p><p>University of Miami is the <a href="https://www.forbes.com/sites/rachelsandler/2020/10/27/human-rights-groups-call-on-the-university-of-miami-to-ban-facial-recognition/#a11c8bf2965a" target="_blank">latest school</a> to be embroiled in a battle over facial recognition. The ACLU of Florida was joined by 21 other groups when requesting that the university hold an open forum so that students can express their concerns. A piece of their letter is below. </p><p>This call for action was inspired after a September incident in which students <a href="https://www.miaminewtimes.com/news/university-of-miami-tracked-protesters-with-video-surveillance-11712139" target="_blank">protested</a> returning for in-person classes during the pandemic. The students, concerned about their health, predominantly wore face masks. Still, a number of them were identified, leading to concerns that facial recognition was used. Campus police denied it—the chief even claimed the tech "doesn't work," though that notion <a href="https://www.cnn.com/2020/08/12/tech/face-recognition-masks/index.html" target="_blank">has been refuted</a>—yet civil liberties groups are worried that an invasion of privacy occurred.</p><p>Lia Holland, a member of the digital rights nonprofit <a href="https://www.fightforthefuture.org/news/2020-10-27-20-human-rights-organizations-call-on-university-of-miami-to-ban-facial-recognition-and-meet-f6f2119fd41b/" target="_blank">Fight for the Future</a>, wants answers from school administrators. </p><p style="margin-left: 20px;">"UMiami is struggling to answer to their creepy surveillance practices, and clarify whether they are using their own facial recognition system, or Florida's state facial recognition database."</p>
Credit: Pixel Shot / Adobe Stock<p>The police chief in question, David Rivero, claims overhead surveillance cameras provided identification at the protest. Yet speaking of another case involving facial-recognition software, he's <a href="https://www.miaminewtimes.com/news/university-of-miami-tracked-protesters-with-video-surveillance-11712139" target="_blank">on the record stating</a>, "We were able to [easily] identify and arrest him. We've [detected] a few bad guys that way."</p><p>The letter sent to the Board of Administrators <a href="https://www.fightforthefuture.org/news/2020-10-27-20-human-rights-organizations-call-on-university-of-miami-to-ban-facial-recognition-and-meet-f6f2119fd41b/" target="_blank">includes the following demands</a>: </p><ol><li>Issue a campus-wide policy banning non-personal use of facial recognition technology, and issue a statement that you have done so.</li><li>Immediately schedule an open forum with students and faculty/staff to discuss community concerns and clarify how student activists who participated in First Amendment protected protest activities were identified by campus police.</li><li>Immediately schedule a meeting with the UMiami Employee Student Alliance (UMESA) to address their COVID-19 safety concerns, the subject of the original protest.</li></ol><p>There's no doubt facial-recognition technology has a place in law enforcement. Victims of unsolved crimes are relieved when the perpetrators are brought to justice, regardless of the means. As Michel writes, some police forces are already surveilling large regions of their districts using the Gorgon Stare, a camera used from airplanes. Cameras are ubiquitous, and that's not going to change. </p>As a society, we need honest discussions regarding the application of surveillance. Nearly every citizen in China has <a href="https://www.cnet.com/news/in-china-facial-recognition-public-shaming-and-control-go-hand-in-hand/" target="_blank">already been logged</a> by facial recognition software, which has led to human rights abuses. While the stated intention of this tech by American police is pure, good intentions are known to pave the way...well, we know how that ends. <p>--</p><p><em>Stay in touch with Derek on <a href="http://www.twitter.com/derekberes" target="_blank">Twitter</a> and <a href="https://www.facebook.com/DerekBeresdotcom" target="_blank" rel="noopener noreferrer">Facebook</a>. His new book is</em> "<em><a href="https://www.amazon.com/gp/product/B08KRVMP2M?pf_rd_r=MDJW43337675SZ0X00FH&pf_rd_p=edaba0ee-c2fe-4124-9f5d-b31d6b1bfbee" target="_blank" rel="noopener noreferrer">Hero's Dose: The Case For Psychedelics in Ritual and Therapy</a>."</em></p>
A study finds 1.8 billion trees and shrubs in the Sahara desert.
- AI analysis of satellite images sees trees and shrubs where human eyes can't.
- At the western edge of the Sahara is more significant vegetation than previously suspected.
- Machine learning trained to recognize trees completed the detailed study in hours.
Why this matters<img type="lazy-image" data-runner-src="https://assets.rebelmouse.io/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpbWFnZSI6Imh0dHBzOi8vYXNzZXRzLnJibC5tcy8yNDU2MDQ1OC9vcmlnaW4uanBnIiwiZXhwaXJlc19hdCI6MTYzOTkyODg5NX0.O3S2DRTyAxh-JZqxGKj9KkC6ndZAloEh4hKhpcyeFDQ/img.jpg?width=980" id="3770d" class="rm-shortcode" data-rm-shortcode-id="3c27b79d4c0600fb6ebb82e650cabec0" data-rm-shortcode-name="rebelmouse-image" />
Area in which trees were located
Credit: University of Copenhagen<p>As important as trees are in fighting climate change, scientists need to know what trees there are, and where, and the study's finding represents a significant addition to the global tree inventory.</p><p>The vegetation Brandt and his colleagues have identified is in the Western Sahara, a region of about 1.3 million square kilometers that includes the desert, <a href="https://en.wikipedia.org/wiki/Sahel" target="_blank">the Sahel</a>, and the <a href="https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/subhumid-zones" target="_blank" rel="noopener noreferrer">sub-humid zones</a> of West Africa.</p><p>These trees and shrubs have been left out of previous tabulations of carbon-processing worldwide forests. Says Brandt, "Trees outside of forested areas are usually not included in climate models, and we know very little about their carbon stocks. They are basically a white spot on maps and an unknown component in the global carbon cycle."</p><p>In addition to being valuable climate-change information, the research can help facilitate strategic development of the region in which the vegetation grows due to a greater understanding of local ecosystems.</p>
Trained for trees<img type="lazy-image" data-runner-src="https://assets.rebelmouse.io/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpbWFnZSI6Imh0dHBzOi8vYXNzZXRzLnJibC5tcy8yNDU2MDQ3MC9vcmlnaW4uanBnIiwiZXhwaXJlc19hdCI6MTYzNTk5NTI3NH0.fR-n1I2DHBIRPLvXv4g0PVM8ciZwSLWorBUUw2wc-Vk/img.jpg?width=980" id="e02c0" class="rm-shortcode" data-rm-shortcode-id="79955b13661dca8b6e19007935129af1" data-rm-shortcode-name="rebelmouse-image" />
Credit: Martin Brandt/University of Copenhagen<p>There's been an assumption that there's hardly enough vegetation outside of forested areas to be worth counting in areas such as this one. As a result the study represents the first time a significant number of trees — likely in the hundreds of millions when shrubs are subtracted from the overall figure — have been catalogued in the drylands region.</p><p>Members of the university's Department of Computer Science trained a machine-learning module to recognize trees by feeding it thousands of pictures of them. This training left the AI be capable of spotting trees in the tiny details of satellite images supplied by NASA. The task took the AI just hours — it would take a human years to perform an equivalent analysis.</p><p>"This technology has enormous potential when it comes to documenting changes on a global scale and ultimately, in contributing towards global climate goals," says co-author Christian Igel. "It is a motivation for us to develop this type of beneficial artificial intelligence."</p><p>"Indeed," says Brandt says, "I think it marks the beginning of a new scientific era."</p>
Looking ahead and beyond<p>The researchers hope to further refine their AI to provide a more detailed accounting of the trees it identifies in satellite photos.</p><p>The study's senior author, Rasmus Fensholt, says, "we are also interested in using satellites to determine tree species, as tree types are significant in relation to their value to local populations who use wood resources as part of their livelihoods. Trees and their fruit are consumed by both livestock and humans, and when preserved in the fields, trees have a positive effect on crop yields because they improve the balance of water and nutrients."</p><p>Ahead is an expansion of the team's tree hunt to a larger area of Africa, with the long-term goal being the creation of a more comprehensive and accurate global database of trees that grow beyond the boundaries of forests.</p>
Can we stop a rogue AI by teaching it ethics? That might be easier said than done.
- One way we might prevent AI from going rogue is by teaching our machines ethics so they don't cause problems.
- The questions of what we should, or even can, teach computers remains unknown.
- How we pick the values artificial intelligence follows might be the most important thing.
What effect does how we build the machine have on what ethics the machine can follow?<iframe width="730" height="430" src="https://www.youtube.com/embed/IHE63fxpHCg" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe><p> <strong><br> </strong>Humans are really good at explaining ethical problems and discussing potential solutions. Some of us are very good at teaching entire systems of ethics to other people. However, we tend to do this using language rather than code. We also teach people with learning capabilities similar to us rather than to a machine with different abilities. Shifting from people to machines may introduce some limitations. <br> <br> Many different methods of machine learning could be applied to ethical theory. The trouble is, they may prove to be very capable of absorbing one moral stance and utterly incapable of handling another. </p><p>Reinforcement learning (RL) is a way to teach a machine to do something by having it maximize a reward signal. Through trial and error, the machine is eventually able to learn how to get as much reward as possible efficiently. With its built-in tendency to maximize what is defined as good, this system clearly lends itself to utilitarianism, with its goal of maximizing the total happiness, and other consequentialist ethical systems. How to use it to effectively teach a different ethical system remains unknown. <br> <br> Alternatively, apprenticeship or imitation learning allows a programmer to give a computer a long list of data or an exemplar to observe and allow the machine to infer values and preferences from it. Thinkers concerned with the alignment problem often argue that this could teach a machine our preferences and values through action rather than idealized language. It would just require us to show the machine a moral exemplar and tell it to copy what they do. The idea has more than a few similarities to <a href="https://bigthink.com/scotty-hendricks/virtue-ethics-the-moral-system-you-have-never-heard-of-but-have-probably-used" target="_self">virtue ethics</a>. </p><p>The problem of who is a moral exemplar for other people remains unsolved, and who, if anybody, we should have computers try to emulate is equally up for debate. <br> <br> At the same time, there are some moral theories that we don't know how to teach to machines. Deontological theories, known for creating universal rules to stick to all the time, typically rely on a moral agent to apply reason to the situation they find themselves in along particular lines. No machine in existence is currently able to do that. Even the more limited idea of rights, and the concept that they should not be violated no matter what any optimization tendency says, might prove challenging to code into a machine, given how specific and clearly defined you'd have to make these rights.</p><p>After discussing these problems, Gabriel notes that:<br> <br> "In the light of these considerations, it seems possible that the methods we use to build artificial agents may influence the kind of values or principles we are able encode."<br> <br> This is a very real problem. After all, if you have a super AI, wouldn't you want to teach it ethics with the learning technique best suited for how you built it? What do you do if that technique can't teach it anything besides utilitarianism very well but you've decided virtue ethics is the right way to go? </p>
It's hard to stop looking back and forth between these faces and the busts they came from.
- A quarantine project gone wild produces the possibly realistic faces of ancient Roman rulers.
- A designer worked with a machine learning app to produce the images.
- It's impossible to know if they're accurate, but they sure look plausible.
How the Roman emperors got faced<a href="https://payload.cargocollective.com/1/6/201108/14127595/2K-ENGLISH-24x36-Educational_v8_WATERMARKED_2000.jpg" ><img type="lazy-image" data-runner-src="https://assets.rebelmouse.io/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpbWFnZSI6Imh0dHBzOi8vYXNzZXRzLnJibC5tcy8yNDQ2NDk2MS9vcmlnaW4uanBnIiwiZXhwaXJlc19hdCI6MTYyOTUzMzIxMX0.OwHMrgKu4pzu0eCsmOUjybdkTcSlJpL_uWDCF2djRfc/img.jpg?width=980" id="775ca" class="rm-shortcode" data-rm-shortcode-id="436000b6976931b8320313478c624c82" data-rm-shortcode-name="rebelmouse-image" alt="lineup of emperor faces" /></a>
Credit: Daniel Voshart<p>Voshart's imaginings began with an AI/neural-net program called <a href="https://www.artbreeder.com" target="_blank">Artbreeder</a>. The freemium online app intelligently generates new images from existing ones and can combine multiple images into…well, who knows. It's addictive — people have so far used it to generate nearly 72.7 million images, says the site — and it's easy to see how Voshart fell down the rabbit hole.</p><p>The Roman emperor project began with Voshart feeding Artbreeder images of 800 busts. Obviously, not all busts have weathered the centuries equally. Voshart told <a href="https://www.livescience.com/ai-roman-emperor-portraits.html" target="_blank" rel="noopener noreferrer">Live Science</a>, "There is a rule of thumb in computer programming called 'garbage in garbage out,' and it applies to Artbreeder. A well-lit, well-sculpted bust with little damage and standard face features is going to be quite easy to get a result." Fortunately, there were multiple busts for some of the emperors, and different angles of busts captured in different photographs.</p><p>For the renderings Artbreeder produced, each face required some 15-16 hours of additional input from Voshart, who was left to deduce/guess such details as hair and skin coloring, though in many cases, an individual's features suggested likely pigmentations. Voshart was also aided by written descriptions of some of the rulers.</p><p>There's no way to know for sure how frequently Voshart's guesses hit their marks. It is obviously the case, though, that his interpretations look incredibly plausible when you compare one of his emperors to the sculpture(s) from which it was derived.</p><p>For an in-depth description of Voshart's process, check out his posts on <a href="https://medium.com/@voshart/photoreal-roman-emperor-project-236be7f06c8f" target="_blank">Medium</a> or on his <a href="https://voshart.com/ROMAN-EMPEROR-PROJECT" target="_blank" rel="noopener noreferrer">website</a>.</p><p>It's fascinating to feel like you're face-to-face with these ancient and sometimes notorious figures. Here are two examples, along with some of what we think we know about the men behind the faces.</p>
Caligula<img type="lazy-image" data-runner-src="https://assets.rebelmouse.io/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpbWFnZSI6Imh0dHBzOi8vYXNzZXRzLnJibC5tcy8yNDQ2NDk4Mi9vcmlnaW4uanBnIiwiZXhwaXJlc19hdCI6MTYxMDM4MzE5NX0.GoQRSUIBzxpGC2gtcxICAre9U71VkIsI7PC2TwyPGE0/img.jpg?width=980" id="5ee59" class="rm-shortcode" data-rm-shortcode-id="ce795c554490fe0a36a8714b86f55b16" data-rm-shortcode-name="rebelmouse-image" />
One of numerous sculptures of Caligula, left
Nero<img type="lazy-image" data-runner-src="https://assets.rebelmouse.io/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpbWFnZSI6Imh0dHBzOi8vYXNzZXRzLnJibC5tcy8yNDQ2NTAwMC9vcmlnaW4uanBnIiwiZXhwaXJlc19hdCI6MTY1NTQ2ODU0NX0.AgYuQZzRQCanqehSI5UeakpxU8fwLagMc_POH7xB3-M/img.jpg?width=980" id="a8825" class="rm-shortcode" data-rm-shortcode-id="9e0593d79c591c97af4bd70f3423885e" data-rm-shortcode-name="rebelmouse-image" />
One of numerous sculptures of Nero, left