LEADER 03676nam 22006015 450 001 996565570303316 005 20231209095929.0 010 $a3-8394-6766-7 024 7 $a10.1515/9783839467664 035 $a(CKB)29270054800041 035 $a(DE-B1597)652444 035 $a(DE-B1597)9783839467664 035 $a(EXLCZ)9929270054800041 100 $a20231209h20232023 fg 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aBeyond Quantity $eResearch with Subsymbolic AI /$fed. by Alexander Waibel, Jens Schröter, Fabian Retkowski, Markus Ramsauer, Anna Echterhölter, Andreas Sudmann 210 1$aBielefeld : $ctranscript Verlag, $d[2023] 210 4$d2023 215 $a1 online resource (360 p.) 225 0 $aKI-Kritik ;$v6 327 $tFrontmatter -- $tContents -- $tAcknowledgements -- $tIntroduction -- $tResearch with Subsymbolic AI -- $tWhen Achilles met the tortoise -- $tFrom algorithmic thinking to thinking machines -- $tA new canary in the coal mine? -- $tCross-interactions between AI and epistemology -- $tAI and the work of patterns -- $tArtificial Intelligence in medicine -- $tSubsymbolic, hybrid and explainable AI -- $tAI-based approaches in Cultural Heritage -- $tInterfaces of AI -- $tMedia and the transformative potential of AI in the scientific field -- $tPutting the AI into social science -- $tScience in the era of ChatGPT, large language models and generative AI -- $tThe current state of summarization -- $tOpacity and reproducibility in data processing -- $tAI in mathematics -- $tArtificial Intelligence as a cultural technique -- $tList of contributors -- $tEditorial 330 $aHow do artificial neural networks and other forms of artificial intelligence interfere with methods and practices in the sciences? Which interdisciplinary epistemological challenges arise when we think about the use of AI beyond its dependency on big data? Not only the natural sciences, but also the social sciences and the humanities seem to be increasingly affected by current approaches of subsymbolic AI, which masters problems of quality (fuzziness, uncertainty) in a hitherto unknown way. But what are the conditions, implications, and effects of these (potential) epistemic transformations and how must research on AI research be configured to address them adequately? 606 $aSOCIAL SCIENCE / Media Studies$2bisacsh 610 $aArtificial Neural Networks. 610 $aComputer Sciences. 610 $aDigital Media. 610 $aDigitalization. 610 $aMachine Learning. 610 $aMedia Studies. 610 $aResearch on Research. 610 $aSociology of Media. 610 $aSociology of Science. 610 $aSubsymbolic AI. 610 $aTechnology. 615 7$aSOCIAL SCIENCE / Media Studies. 686 $aST 300$qDE-Ofb1/23$2rvk 702 $aEchterhölter$b Anna, $4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRamsauer$b Markus, $4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRetkowski$b Fabian, $4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSchröter$b Jens, $4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSudmann$b Andreas, $4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWaibel$b Alexander, $4edt$4http://id.loc.gov/vocabulary/relators/edt 712 02$aVolkswagenStiftung$4fnd$4http://id.loc.gov/vocabulary/relators/fnd 801 0$bDE-B1597 801 1$bDE-B1597 906 $aBOOK 912 $a996565570303316 996 $aBeyond Quantity$93602692 997 $aUNISA