Friday, November 26, 2021

g-f(2)684 THE BIG PICTURE OF THE DIGITAL AGE (11/26/2021), WWU Muenster, Why AI simultaneously gives rise to both euphoria and fear

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"g-f" fishing of golden knowledge (GK) of the fabulous treasure of the digital ageArtificial Intelligence, The essential benefits of AI (11/26/2021)  g-f(2)426 


"We need to build trust in AI" 

      • Artificial intelligence (AI) simultaneously gives rise to both euphoria and fear. Why this is so, how important AI is today – and will be in the future, and whether AI hasn’t already existed for many years now: Norbert Robers discussed these issues and more with Heike Trautmann, Professor of Business Information Systems.
      • Heike Trautmann.
        • If we succeed globally in developing AI technologies geared towards ethical principles – technologies which complement human intelligence in a purposeful way – then AI will bring great advances for society, business and, in particular, climate research. To that extent, it will be a blessing.
        • Every tool can be used or abused.

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        University of Münster

        The University of Münster (German: Westfälische Wilhelms-Universität Münster, WWU) is a public research university located in the city of Münster, North Rhine-Westphalia in Germany.

        With more than 43,000 students and over 120 fields of study in 15 departments, it is Germany's fifth largest university and one of the foremost centers of German intellectual life. The university offers a wide range of subjects across the sciences, social sciences and the humanities. Several courses are also taught in English, including PhD programmes as well as postgraduate courses in geoinformatics, geospational technologies or information systems.

        Professors and former students have won ten Leibniz Prizes, the most prestigious as well as the best-funded prize in Europe, and one Fields Medal. The WWU has also been successful in the German government's Excellence Initiative.

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        Lessons learned, WWU Muenster 

        • Norbert Robers. For many people, AI is probably something very modern. But isn’t it already old hat, when we think back for example to the so-called Turing machine or the chess computers of the 1970s?
        • Heike Trautmann. It’s true that AI today is based on these methods, for example – and the term was coined in the mid-1950s. But research in this field has progressed enormously in the past few decades, both in basic research and in applications-oriented research. Currently we speak of the so-called ‘third wave of AI’, which focuses for example on self-learning systems, explainability, the ability to communicate and methods of producing automated conclusions.

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        Lessons learned, WWU Muenster

            • Heike Trautmann. 
              • There is a great lack of clarity in people’s understanding of AI. What they imagine ranges from, on the one hand, pure automation, routine processes, equating it with machine learning or just deep learning to, on the other hand, a vision of an over-powerful technology surpassing human intelligence. This is why the European AI initiative CLAIRE focuses on the development of a common understanding of AI with the aim of advancing people-centred AI in Europe over and above research networks. For me, AI is the interaction of several areas, just as human intelligence is also based on the interaction between various processes and competences. In addition to machine learning, the central components of AI are, equally, the optimisation of frequently contradictory aims, drawing logical conclusions, language processing and robotics.
              • The rapid development of a vaccine to combat the Covid pandemic would not have been possible without the use of AI methods. Learning from enormous quantities of data in medicine – in order to make diagnoses, develop medicines and prevent diseases – has tremendous potential. Another key area is climate research: without the information we have, we would be faced with a task – saving our planet – which we wouldn’t be able to solve at all.
              • Artificial intelligence will not be able to reproduce human abilities such as empathy, intuition and the ability to make decisions based on experience and sets of facts. The question is also whether we would want that. In automated language processing and generation, for example, it is currently difficult to reproduce irony and sarcasm.
            • Norbert Robers. What’s your prediction? Will AI fundamentally dominate our lives – and, if so, when will that be?
            • Heike Trautmann. It’s already happening. Just think what would happen if AI technology ceased to exist from one day to the next. There is hardly any area of our social lives which would not be massively influenced and which would be nothing like as able to function as it has so far.

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            • Category 2: The Big Picture of the Digital Age
            • [genioux fact deduced or extracted from WWU Muenster]
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              • Inherited from sources + Supported by the knowledge of one or more experts.


            “genioux facts”: The online programme on MASTERING “THE BIG PICTURE OF THE DIGITAL AGE”, g-f(2)684, Fernando Machuca, November 26, 2021, Corporation.


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