LEADER 04130nam 2200517 450 001 9910647784203321 005 20230506041403.0 010 $a3-031-09245-7 024 7 $a10.1007/978-3-031-09245-9 035 $a(MiAaPQ)EBC7190078 035 $a(Au-PeEL)EBL7190078 035 $a(CKB)26089721900041 035 $a(DE-He213)978-3-031-09245-9 035 $a(PPN)268206619 035 $a(EXLCZ)9926089721900041 100 $a20230506d2023 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aResponsible Artificial Intelligence $eChallenges for Sustainable Management /$fRene? Schmidpeter and Reinhard Altenburger, editors 205 $a1st ed. 2023. 210 1$aCham, Switzerland :$cSpringer,$d[2023] 210 4$d©2023 215 $a1 online resource (304 pages) 225 1 $aCSR, Sustainability, Ethics and Governance Series 311 08$aPrint version: Schmidpeter, René Responsible Artificial Intelligence Cham : Springer International Publishing AG,c2023 9783031092442 320 $aIncludes bibliographical references. 327 $aForeword -- 1.Artificial Intelligence - Management Challenges and Responsibility -- 2.Artificial Intelligence: Companion to a New Human "Measure"? - a brief outlook -- 3.AI-Governance for a prosperous future -- 4.Governance of Collaborative AI Development Strategies -- 5.Responsible AI Adoption through Private Sector Governance -- 6.Mastering Trustful Artificial Intelligence -- 7.echnology serves people ? Democratizing Analytics and AI in the BMW production system -- 8.Sustainability and artificial intelligence in the context of a corporate startup program -- 9.Exploring AI with Purpose -- 10.Developing Responsible AI Business model -- 11.ESG Fingerprint - how Big Data & Artificial Intelligence can support investors, companies and stakeholders? -- 12.It?s only a bot! How adversarial chatbots can be a vehicle to teach responsible AI -- 13.Concerted actions to integrate Corporate Social Responsibility with AI in business: two recommendations on leadership and public policy -- 14.AI and Leadership: Automation and the change of management tasks and processes -- 15.Achieving csr with artificially intelligent nudging. 330 $aArtificial intelligence - and social responsibility. Two topics that are at the top of the business agenda. This book discusses in theory and practice how both topics influence each other. In addition to impulses from the current often controversial scientific discussion, it presents case studies from companies dealing with the specific challenges of artificial intelligence. Particular emphasis is placed on the opportunities that artificial intelligence (AI) offers for companies from different industries. The book shows how dealing with the tension between AI and challenges caused by new corporate social responsibility creates strategic opportunities and also innovation opportunities. It highlights the active involvement of stakeholders in the design process, which is meant to build trust among customers and the public and thus contributes to the innovation and acceptance of artificial intelligence. The book is aimed at researchers and practitioners in the fields of corporate social responsibility as well as artificial intelligence and digitalization. The chapter "Exploring AI with purpose" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. 410 0$aCSR, sustainability, ethics & governance. 606 $aArtificial intelligence$xMoral and ethical aspects 606 $aSocial responsibility of business 615 0$aArtificial intelligence$xMoral and ethical aspects. 615 0$aSocial responsibility of business. 676 $a174.90063 702 $aSchmidpeter$b Rene? 702 $aAltenburger$b Reinhard 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910647784203321 996 $aResponsible Artificial Intelligence$93364545 997 $aUNINA