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.
About Basic Property
The title of one of the AAAI 2019 Spring Symposia was “Interpretable AI for Well-Being: Understanding Cognitive Bias and Social Embeddedness”. An important keyword here is “social embeddedness”. Social embeddedness of AI includes issues like “AI and future economics (such as basic income, impact of AI on GDP)” or “well-being society (such as happiness of citizen, life quality)”. In his paper “Are Robot Tax, Basic Income or Basic Property Solutions to the Social Problems of Automation?”, Oliver Bendel discusses and criticizes these approaches in the context of automation and digitization. Moreover, he develops a relatively unknown proposal, unconditional basic property, and presents its potentials as well as its risks. The lecture by Oliver Bendel took place on 26 March 2019 at Stanford University and led to lively discussions. It was nominated for the “best presentation”. The paper has now been published as a preprint and can be downloaded here.
Artifacts of Machine Ethics
More and more autonomous and semi-autonomous machines such as intelligent software agents, specific robots, specific drones and self-driving cars make decisions that have moral implications. Machine ethics as a discipline examines the possibilities and limits of moral and immoral machines. It does not only reflect ideas but develops artifacts like simulations and prototypes. In his talk at the University of Potsdam on 23 June 2019 (“Fundamentals and Artifacts of Machine Ethics”), Prof. Dr. Oliver Bendel outlined the fundamentals of machine ethics and present selected artifacts of moral and immoral machines. Furthermore, he discussed a project which will be completed by the end of 2019. The GOODBOT (2013) is a chatbot that responds morally adequate to problems of the users. The LIEBOT (2016) can lie systematically, using seven different strategies. LADYBIRD (2017) is an animal-friendly robot vacuum cleaner that spares ladybirds and other insects. The BESTBOT (2018) is a chatbot that recognizes certain problems and conditions of the users with the help of text analysis and facial recognition and reacts morally to them. 2019 is the year of the E-MOMA. The machine should be able to improve its morality on its own.
AI Award for the Social Good
The Association for the Advancement of Artificial Intelligence (AAAI) and Squirrel AI Learning announced the establishment of a new one million dollars annual award for societal benefits of AI. According to a press release of the AAAI, the award will be sponsored by Squirrel AI Learning as part of its mission to promote the use of artificial intelligence with lasting positive effects for society. “This new international award will recognize significant contributions in the field of artificial intelligence with profound societal impact that have generated otherwise unattainable value for humanity. The award nomination and selection process will be designed by a committee led by AAAI that will include representatives from international organizations with relevant expertise that will be designated by Squirrel AI Learning.” (AAAI Press Release, 28 May 2019) The AAAI Spring Symposia have repeatedly devoted themselves to social good, also from the perspective of machine ethics. Further information via aaai.org/Pressroom/Releases//release-19-0528.php.
Hologram Girl
The article “Hologram Girl” by Oliver Bendel deals first of all with the current and future technical possibilities of projecting three-dimensional human shapes into space or into vessels. Then examples for holograms from literature and film are mentioned, from the fictionality of past and present. Furthermore, the reality of the present and the future of holograms is included, i.e. what technicians and scientists all over the world are trying to achieve, in eager efforts to close the enormous gap between the imagined and the actual. A very specific aspect is of interest here, namely the idea that holograms serve us as objects of desire, that they step alongside love dolls and sex robots and support us in some way. Different aspects of fictional and real holograms are analyzed, namely pictoriality, corporeality, motion, size, beauty and speech capacity. There are indications that three-dimensional human shapes could be considered as partners, albeit in a very specific sense. The genuine advantages and disadvantages need to be investigated further, and a theory of holograms in love could be developed. The article is part of the book “AI Love You” by Yuefang Zhou and Martin H. Fischer and was published on 18 July 2019. Further information can be found via link.springer.com/book/10.1007/978-3-030-19734-6.