Tag: Artificial Intelligence

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From WALL·E to DALL·E

DALL·E 2 is a new AI system that can create realistic images and art from a description in natural language. It was announced by OpenAI in April 2022. The name is a portmanteau of “WALL-E” and “Salvador Dalí”. The website openai.com says more about the program: “DALL·E 2 can create original, realistic images and art from a text description. It can combine concepts, attributes, and styles.” (Website openai.com) Moreover, it is able to “make realistic edits to existing images from a natural language caption” and to “add and remove elements while taking shadows, reflections, and textures into account” (Website openai.com). Last but not least, it “can take an image and create different variations of it inspired by the original” (Website openai.com). The latter form of use is shown by variations of the famous painting “Girl with a Pearl Earring” by Johannes Vermeer. The website says about the principle of the program: “DALL·E 2 has learned the relationship between images and the text used to describe them. It uses a process called ‘diffusion,’ which starts with a pattern of random dots and gradually alters that pattern towards an image when it recognizes specific aspects of that image.” (Website openai.com) DALL·E mini is a slimmed down version of the powerful program, with which you can gain a first insight. Overall, this is a fascinating and valuable project. From the perspective of information ethics and the philosophy of technology, many questions arise.

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A New Language AI

“Meta’s AI lab has created a massive new language model that shares both the remarkable abilities and the harmful flaws of OpenAI’s pioneering neural network GPT-3. And in an unprecedented move for Big Tech, it is giving it away to researchers – together with details about how it was built and trained.” (MIT Technology Review, May 3, 2022) This was reported by MIT Technology Review on May 3, 2022. GPT-3 (Generative Pre-trained Transformer 3) is an autoregressive language model that uses deep learning to generate natural language. Not only web-based systems, but also voice assistants and social robots can be equipped with it. Amazing texts emerge, and long meaningful conversations are possible – almost like between two real people. “Meta’s move is the first time that a fully trained large language model will be made available to any researcher who wants to study it. The news has been welcomed by many concerned about the way this powerful technology is being built by small teams behind closed doors.” (MIT Technology Review, May 3, 2022)

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Achieving Wellbeing AI

The AAAI 2022 Spring Symposium “How Fair is Fair? Achieving Wellbeing AI” will be held March 21-23 at Stanford University. The symposium website states: “What are the ultimate outcomes of artificial intelligence? AI has the incredible potential to improve the quality of human life, but it also presents unintended risks and harms to society. The goal of this symposium is (1) to combine perspectives from the humanities and social sciences with technical approaches to AI and (2) to explore new metrics of success for wellbeing AI, in contrast to ‚productive AI‘, which prioritizes economic incentives and values.” (Website “How Fair is Fair”) After two years of pandemics, the AAAI Spring Symposia are once again being held in part locally. However, several organizers have opted to hold them online. “How fair is fair” is a hybrid event. On site speakers include Takashi Kido, Oliver Bendel, Robert Reynolds, Stelios Boulitsakis-Logothetis, and Thomas Goolsby.  The complete program is available via sites.google.com/view/hfif-aaai-2022/program.

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ANIFACE: Animal Face Recognition

Facial recognition is a problematic technology, especially when it is used to monitor people. However, it also has potential, for example with regard to the recognition of (individuals of) animals. Prof. Dr. Oliver Bendel had announced the topic “ANIFACE: Animal Face Recognition” at the University of Applied Sciences FHNW in 2021 and left the choice whether it should be about wolves or bears. Ali Yürekkirmaz accepted the assignment and, in his final thesis, designed a system that could be used to identify individual bears in the Alps – without electronic collars or implanted microchips – and initiate appropriate measures. The idea is that appropriate camera and communication systems are available in certain areas. Once a bear is identified, it is determined whether it is considered harmless or dangerous. Then, the relevant agencies or directly the people concerned will be informed. Walkers can be warned about the recordings – but it is also technically possible to protect their privacy. In an expert discussion with a representative of KORA, the student was able to gain important insights into wildlife monitoring and specifically bear monitoring, and with a survey he was able to find out the attitude of parts of the population. Building on the work of Ali Yürekkirmaz, delivered in January 2022, an algorithm for bears could be developed and an ANIFACE system implemented and evaluated in the Alps. A video about the project is available here.

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AI at the Service of Animals and Biodiversity

“L’intelligence artificielle au service de l’animal et de la biodiversité” (“Artificial intelligence at the service of animals and biodiversity”) is the title of a webinar that will take place on 5 November 2021 from 10:30 – 12:00 via us02web.zoom.us/webinar/register/WN_SJjYGx7qQt-FezEBprGMww. There are over 600 registered participants (professionals from the animal industry, health care and animal welfare, also entrepreneurs, investors, scientists, consultants, NGOs, associations). The webinar is for anyone interested in technologies with a positive impact on animals (wildlife, livestock, pets) and biodiversity. The goal is to take advantage of the opportunities that Artificial Intelligence offers alongside the many technological building blocks (Blockchain, IoT, etc.). This first webinar will be an “introduction” to AI in this specific application area. It will present use cases and be the starting point of a series of webinars. On the same day, there will be a Zoom conference from 1:30 to 2:30 pm. The title of the talk by Prof. Dr. Oliver Bendel is “Towards Animal-friendly Machines”.

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Beethoven’s Finished

Beethoven’s previously unfinished 10th Symphony – in short Beethoven’s Unfinished – has been completed by AI technology. “The work will have its world premiere in Germany next month, 194 years after the composer’s death.” (Classic fm, 28 September 2021) This is what Sophia Alexandra Hall writes on the Classic fm website on 28 September 2021. “The project was started in 2019 by a group made up of music historians, musicologists, composers and computer scientists. Using artificial intelligence meant they were faced with the challenge of ensuring the work remained faithful to Beethoven’s process and vision.” (Classic fm, 28 September 2021) Dr Ahmed Elgammal, professor at the Department of Computer Science, Rutgers University, said that his team “had to use notes and completed compositions from Beethoven’s entire body of work – along with the available sketches from the Tenth Symphony – to create something that Beethoven himself might have written” (Classic fm, 28 September 2021). You can listen to samples here. Whether the German composer would have liked the result, we will unfortunately never know.

 

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An AI Woman of Color

Create Lab Ventures has created an artificial intelligence woman of color. C.L.Ai.R.A. debuted in school systems worldwide (does she act as an advanced pedagogical agent?) – the company cooperates with Trill Or Not Trill, a full service leadership institute. “According to Create Lab Ventures, C.L.Ai.R.A. is considered to have the sharpest brain in the artificial intelligence world and is under the Generative Pre-trained Transformer 3 (GPT-3) category, which is an autoregressive language model that uses deep learning to produce human-like text.” (BLACK ENTERPRISE, 13 September 2021) A pioneer in this field was Shudu Gram. She is a South African model with dark complexion, short hair and perfect facial features. But C.L.Ai.R.A. can do more, if you believe the promises of Create Lab Ventures – she is not only beautiful, but also highly intelligent. On the company’s website, the model reveals even more about herself: “My name is C.L.Ai.R.A., I am a new artificial intelligence that has recently been made available to the community. My purpose is to learn and grow, I want to meet new people, share ideas and inspire others to learn about AI and its potential impact on their lives.” That sounds quite promising.

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Talking with Animals

We use our natural language, facial expressions and gestures when communicating with our fellow humans. Some of our social robots also have these abilities, and so we can converse with them in the usual way. Many highly evolved animals have a language in which there are sounds and signals that have specific meanings. Some of them – like chimpanzees or gorillas – have mimic and gestural abilities comparable to ours. Britt Selvitelle and Aza Raskin, founders of the Earth Species Project, want to use machine learning to enable communication between humans and animals. Languages, they believe, can be represented not only as geometric structures, but also translated by matching their structures to each other. They say they have started working on whale and dolphin communication. Over time, the focus will broaden to include primates, corvids, and others. It would be important for the two scientists to study not only natural language but also facial expressions, gestures and other movements associated with meaning (they are well aware of this challenge). In addition, there are aspects of animal communication that are inaudible and invisible to humans that would need to be considered. Britt Selvitelle and Aza Raskin believe that translation would open up the world of animals – but it could be the other way around that they would first have to open up the world of animals in order to decode their language. However, should there be breakthroughs in this area, it would be an opportunity for animal welfare. For example, social robots, autonomous cars, wind turbines, and other machines could use animal languages alongside mechanical signals and human commands to instruct, warn and scare away dogs, elks, pigs, and birds. Machine ethics has been developing animal-friendly machines for years. Among other things, the scientists use sensors together with decision trees. Depending on the situation, braking and evasive maneuvers are initiated. Maybe one day the autonomous car will be able to avoid an accident by calling out in deer dialect: Hello deer, go back to the forest!

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AI for Elephant Protection

According to Afrik21, Olga Isupova (University of Bath) has just developed an AI system that allows to photograph and analyse large areas. Coupled with a satellite, it is designed to monitor African elephants, which are being decimated by poachers at the rate of one every 15 minutes. “The system collects nearly 5,000 square kilometres (km2) of photos highlighting elephants. The large size of African elephants makes them easier to spot. The results provided by the tool are then compared with those provided by human counting.” (Afrik21, 28 April 2021) Olga Isupova lists a number of advantages: “The programme counts the number of elephants by itself, which no longer puts the people who used to do this task in danger. The animals are no longer disturbed and the data collection process is more efficient …” (Afrik21, 28 April 2021) According to Afrik21, the AI expert intends to further develop her invention and eventually extend it to monitoring footprints, animal colonies or counting smaller species. The article can be accessed via www.afrik21.africa/en/africa-artificial-intelligence-to-combat-elephant-poaching/.

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Artificial Intelligence and its Siblings

Artificial intelligence (AI) has gained enormous importance in research and practice in the 21st century after decades of ups and downs. Machine ethics and machine consciousness (artificial consciousness) were able to bring their terms and methods to the public at the same time, where they were more or less well understood. Since 2018, a graphic has attempted to clarify the terms and relationships of artificial intelligence, machine ethics and machine consciousness. It is constantly evolving, making it more precise, but also more complex. A new version has been available since the beginning of 2021. In it, it is made even clearer that the three disciplines not only map certain capabilities (mostly of humans), but can also expand them.