LEADER 01897nam 2200457Ia 450 001 9910698099703321 005 20110428083105.0 035 $a(CKB)5470000002394001 035 $a(OCoLC)688485190 035 $a(EXLCZ)995470000002394001 100 $a20101201d2005 ua 0 101 0 $aeng 135 $aurmn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArsenic removal from drinking water by adsorptive media$b[electronic resource] $eEPA demonstration project at Rimrock, AZ : six-month evaluation report /$fby Lili Wang, Julia Valigore, Abraham S.C. Chen 210 1$aCincinnati, Ohio :$cNational Risk Management Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency,$d[2005] 215 $a1 online resource (55 unnumbered pages) 300 $aTitle from PDF title screen (EPA, viewed Nov. 22, 2010). 300 $a"Battelle." 300 $a"December 2005." 300 $a"Thomas J. Sorg, Task order manager." 300 $a"EPA/600/R-05/159." 320 $aIncludes bibliographical references. 517 $aArsenic removal from drinking water by adsorptive media 606 $aWater$xPurification$xArsenic removal$zArizona$zRimrock 606 $aWater$xPurification$xAdsorption$zArizona$zRimrock 615 0$aWater$xPurification$xArsenic removal 615 0$aWater$xPurification$xAdsorption 700 $aWang$b Lili$01381039 701 $aValigore$b Julia$01410870 701 $aChen$b Abraham S. C.$f1951-$01386378 712 02$aNational Risk Management Research Laboratory (U.S.).$bOffice of Research and Development. 712 02$aBattelle Memorial Institute. 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910698099703321 996 $aArsenic removal from drinking water by adsorptive media$93500558 997 $aUNINA LEADER 05041nam 22006375 450 001 9910921011303321 005 20250108115240.0 010 $a9783031655142 010 $a3031655141 024 7 $a10.1007/978-3-031-65514-2 035 $a(CKB)37156299200041 035 $a(MiAaPQ)EBC31876212 035 $a(Au-PeEL)EBL31876212 035 $a(DE-He213)978-3-031-65514-2 035 $a(EXLCZ)9937156299200041 100 $a20250108d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGenerative Artificial Intelligence $eA Law and Economics Approach to Optimal Regulation and Governance /$fby Mitja Kova? 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Palgrave Macmillan,$d2024. 215 $a1 online resource (218 pages) 311 08$a9783031655135 311 08$a3031655133 327 $aCHAPTER 1: Introduction -- Part I. Conceptual framework -- CHAPTER 2. Economic Analysis of Law -- CHAPTER 3. The Case for Regulatory Intervention and its Limits -- CHAPTER 4. Introduction to the Generative Artificial Intelligence Systems -- Part II. Generative Artificial Intelligence and Key Regulatory Questions -- CHAPTER 5. What can get wrong? -- CHAPTER 6. Key Regulatory Principles and Current Regulatory Approaches -- CHAPTER 7. Towards an Optimal Regulator: Critical Assessment of the EU Artificial Intelligence Act -- Epilogue. 330 $a"AI is guaranteed to change nearly every aspect of our lives, but predicting how it will do so and determining what role law and regulation should play involve huge uncertainty. Kovac gives us an insightful roadmap, using the tools of law and economics, to our bewildering future. In the process, he also provides a comprehensive and necessary guide to understanding the regulatory and legal challenges we will face in the very near future." -Jonathan Klick, Charles A. Heimbold, Jr. Professor of Law, University of Pennsylvania and Erasmus Chair of Empirical Legal Studies, Erasmus University Rotterdam This book takes a comparative law and economics approach to explore the role of public and private actors in regulating generative artificial intelligence. The book provides an introduction and context for the creation of new generative AI technologies, now understood to be the chief goal of the leading AI companies. As autonomous 'super-intelligences', these technologies are still an unknown entity which nevertheless have profound implications for liberal democracy, consumer choice mechanisms, mutual trust, and political legitimacy. This book explores the deep challenges posed for lawmakers and how we can achieve an optimal form of regulation and governance of such unreliable technologies. Chapters investigate possible hybrid modes of regulation, such as a co-regulatory approach between private AI companies and public actors in addressing the issue of misinformation spread. It also explores mixed types of regulation toward research on new forms of AI, arguing that different levels of systemic risk posed by different technologies must be accounted for. Different contemporary and historical contexts for the regulation of unprecedented technical innovation are also considered, and new suggestions for policy are presented. This book is a timely resource which will be of interest to researchers and practitioners in economic governance, law and regulation, artificial intelligence, and comparative law. Mitja Kova? is full time Professor of Civil and Commercial Law at the University of Ljubljana, School of Economics and Business, Ljubljana, Slovenia. He is also a visiting lecturer at the Erasmus University Rotterdam, The Netherlands, at University of Ghent, Belgium, at the ISM University of Management and Economics in Vilnius, Lithuania, and at University of Vienna, Austria. He publishes in the fields of comparative contract law and economics, new institutional economics, consumer protection, contract theory and competition law and economics. 606 $aLaw and economics 606 $aArtificial intelligence 606 $aCommercial law 606 $aEuropean Economic Community 606 $aIndustrial policy 606 $aLaw and Economics 606 $aArtificial Intelligence 606 $aEuropean Economic Law 606 $aRegulation and Industrial Policy 615 0$aLaw and economics. 615 0$aArtificial intelligence. 615 0$aCommercial law. 615 0$aEuropean Economic Community. 615 0$aIndustrial policy. 615 14$aLaw and Economics. 615 24$aArtificial Intelligence. 615 24$aEuropean Economic Law. 615 24$aRegulation and Industrial Policy. 676 $a343.09998 700 $aKova?$b Mitja$0942302 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910921011303321 996 $aGenerative Artificial Intelligence$94308371 997 $aUNINA