According to the New York Times, the Allen Institute for Artificial Intelligence unveiled a new system that correctly answered more than 90 percent of the questions on an eighth-grade science test and more than 80 percent on a 12th-grade exam. Is it really a breakthrough for AI technology, as the title of the article claims? This is a subject of controversy among experts. The newspaper is optimistic: “The system, called Aristo, is an indication that in just the past several months researchers have made significant progress in developing A.I. that can understand languages and mimic the logic and decision-making of humans.” (NYT, 4 September 2019) Aristo was built for multiple-choice tests. “It took standard exams written for students in New York, though the Allen Institute removed all questions that included pictures and diagrams.” (NYT, 4 September 2019) Some questions could be answered by simple information retrieval. There are numerous systems that access Google and Wikipedia, including artifacts of machine ethics like LIEBOT and BESTBOT. But for the answers to other questions logical thinking was required. Perhaps Aristo is helping to abolish multiple-choice tests – not so much because it can solve them, but because they are often not effective.
The System that Detects Fear
Amazon Rekognition is a well-known software for facial recognition, including emotion detection. It is used in the BESTBOT, a moral machine that hides an immoral machine. The immoral is precisely caused by facial recognition, which endangers the privacy of the user and his or her informational autonomy. The project is intended not least to draw attention to this risk. Amazon announced on 12 August 2019 that it has improved and expanded its system: “Today, we are launching accuracy and functionality improvements to our face analysis features. Face analysis generates metadata about detected faces in the form of gender, age range, emotions, attributes such as ‘Smile’, face pose, face image quality and face landmarks. With this release, we have further improved the accuracy of gender identification. In addition, we have improved accuracy for emotion detection (for all 7 emotions: ‘Happy’, ‘Sad’, ‘Angry’, ‘Surprised’, ‘Disgusted’, ‘Calm’ and ‘Confused’) and added a new emotion: ‘Fear’.” (Amazon, 12 August 2019) Because the BESTBOT accesses other systems such as MS Face API and Kairos, it can already recognize fear. So the change at Amazon means no change for this artifact of machine ethics.
An Exosuit for Walking and Running
“Walking and running require different gaits, with each type of motion putting a greater bias on different muscles and joints.” (Science 2019) Exoskeletons can support people in many ways. However, it is not easy for them to adjust to different types of motion. Jinsoo Kim and his co-authors discuss a possible solution in their article “Reducing the metabolic rate of walking and running with a versatile, portable exosuit”, published in the current issue of Science (16 August 2019). “They developed a soft, fully portable, lightweight exosuit that is able to reduce the metabolic rate for both running and walking by assisting each motion via the hip extension … A waist belt holds most of the mass, thus reducing the cost of carrying the suit. By tracking the motion of the user, the suit is able to switch modes between the two types of motion automatically.“ (Science 2019) There are many possible applications for the exosuit, both civil and military. The article can be downloaded here.
The Resurrection of Dead Authors
lyrikline.org is an interesting and touching project. The writers themselves read their works. You can listen to Ingeborg Bachmann as well as Paul Celan. Spoken literature has been booming in Europe and the USA for about 15 years. The Chinese discovered audio books some time ago. Basically it is time-consuming and expensive to produce such books professionally. Moreover, the authors are not always available. The Chinese search engine Sogou wants to solve this problem with the help of visualization technology and artificial intelligence. It creates avatars of the authors who speak with the voice of the authors. “At the China Online Literature+ conference, the company announced that the first two authors to receive this avatar treatment will be Yue Guan and Bu Xin Tian Shang Diao Xian Bing … If these first AI author avatars are well-received, others could follow – and that could just be the jumping-off point. A company could produce book readings by deceased authors, for example, as long as enough audio and video footage exists. Eventually, they could even incorporate hologram technology to really give bibliophiles the feeling of being at their favorite author’s reading.” (futurism.com, 15 August 2019) So you could have Ingeborg Bachmann or Charles Bukowski read all of their own texts and watch them, many years after their death. Whether the results really sound like the originals, whether they influence us just as emotionally, can be doubted. But there is no doubt that this is an exciting project.
Knightscope’s Fourth Generation K5
Knightscope’s security robots have been on the road in Silicon Valley for years. They can see, hear and smell – and report anything suspicious to a central office. A new generation has emerged from a partnership with Samsung. The monolithic cone has become a piecemeal object. The company writes in its blog: “With its all new, fully suspended drivetrain, the K5v4 is uniquely suited to manage the more aggressive terrain outside Samsung’s Silicon Valley workplace. Since deploying, we have been able to reduce the amount of time it takes to complete a robot guard tour in areas inhibited by speed bumps, while continuing to sweep both of their multi-story parking garages for abandoned vehicles and provide their command center with the additional eyes and ears to provide more security intelligence and improve overall security.” (Knightscope, 16 June 2019) Security robots can certainly be an option in closed areas. When used in public spaces, many ethical questions are raised. However, security robots can do more than security cameras. And it is hard to escape the fourth generation.
The Relationship between Artificial Intelligence and Machine Ethics
Artificial intelligence has human or animal intelligence as a reference and attempts to represent it in certain aspects. It can also try to deviate from human or animal intelligence, for example by solving problems differently with its systems. Machine ethics is dedicated to machine morality, producing it and investigating it. Whether one likes the concepts and methods of machine ethics or not, one must acknowledge that novel autonomous machines emerge that appear more complete than earlier ones in a certain sense. It is almost surprising that artificial morality did not join artificial intelligence much earlier. Especially machines that simulate human intelligence and human morality for manageable areas of application seem to be a good idea. But what if a superintelligence with a supermorality forms a new species superior to ours? That’s science fiction, of course. But also something that some scientists want to achieve. Basically, it’s important to clarify terms and explain their connections. This is done in a graphics that was published in July 2019 on informationsethik.net and is linked here.
China’s Brain Drain
“China’s AI talent base is growing, and then leaving” – this is what Joy Dantong Ma writes in an article with the same title. Artificial intelligence is promoted in the People’s Republic in various ways. Money is invested in technologies, institutions, and people. “China has been successful in producing AI talent, evidenced by the rapid growth of AI human capital over the last decade.” (MacroPolo, 30 July 2019) This seems to be good news for the country in the Far East. But the study to which the article refers comes to a different conclusion. While “Beijing has cultivated an army of top AI talent, well over half of that talent eventually ended up in America rather than getting hired by domestic companies and institutions”. “That’s because most of the government resources went into expanding the talent base rather than creating incentives and an environment in which they stay.” (MacroPolo, 30 July 2019) According to Joy Dantong Ma, Beijing seems to have recognized its failure in retaining talent. “The well-known New Generation Artificial Intelligence Development Plan, released in 2017, vowed to lure top-notch AI scientists in neural network, machine learning, self-driving cars, and intelligent robotics by opening up special channels and offering up competitive compensation packages. Still, it’s not clear that Beijing will be able to reverse the Chinese AI brains from draining to its biggest competitor, the United States.” (MacroPolo, 30 July 2019) Does the USA even want the talents? That is anything but clear in these times.
Unknown Links between Classic Artworks
Can machine vision detect unknown connections between famous or classic artworks? This seems to be the case, as the work of Tomas Jenicek and Ondřej Chum shows. In their paper “Linking Art through Human Poses” they write: “We address the discovery of composition transfer in artworks based on their visual content. Automated analysis of large art collections, which are growing as a result of art digitization among museums and galleries, is an important tool for art history and assists cultural heritage preservation. Modern image retrieval systems offer good performance on visually similar artworks, but fail in the cases of more abstract composition transfer. The proposed approach links artworks through a pose similarity of human figures depicted in images.” (Abstract) Human figures are the subject of many paintings from the Middle Ages to the Modern Age and their unmistakable poses have often been a source of inspiration among artists. Think of “Sleeping Venus” by Giorgione, “Venus of Urbino” by Titian and “Olympia” by Édouard Manet – paintings with similarities and correlations. The method of the two scientists consists of fast pose matching and robust spatial verification. They “experimentally show that explicit human pose matching is superior to standard content-based image retrieval methods on a manually annotated art composition transfer dataset” (Abstract). The paper can be downloaded via arxiv.org/abs/1907.03537.
Chatbots in Amsterdam
CONVERSATIONS 2019 is a full-day workshop on chatbot research. It will take place on November 19, 2019 at the University of Amsterdam. From the description: “Chatbots are conversational agents which allow the user access to information and services though natural language dialogue, through text or voice. … Research is crucial in helping realize the potential of chatbots as a means of help and support, information and entertainment, social interaction and relationships. The CONVERSATIONS workshop contributes to this endeavour by providing a cross-disciplinary arena for knowledge exchange by researchers with an interest in chatbots.” The topics of interest that may be explored in the papers and at the workshop include humanlike chatbots, networks of users and chatbots, trustworthy chatbot design and privacy and ethical issues in chatbot design and implementation. More information via conversations2019.wordpress.com/.
Could Artificial Intelligence Trigger Wars?
Deep fakes are a young phenomenon. Of course there have been fake videos for a long time. But that artificial intelligence makes the production possible, even in standard applications, is new. On August 1, an article dedicated to the phenomenon was published in the German newspaper Die Welt. It begins with the following words: “It is well known that a picture says more than a thousand words. And moving images, i.e. videos, are still regarded as unmistakable proof that something has taken place exactly as it can be seen in the film. … Powerful artificial intelligence (AI) processes now make it possible to produce such perfect counterfeits that it is no longer possible to tell with the naked eye whether a video is real or manipulated. In so-called deep fake videos, people say or do things they would never say or do.” Among others, the philosopher Oliver Bendel is quoted. The article with the title “Artificial intelligence could trigger wars” can be downloaded via www.welt.de.