001468177 000__ 06357cam\\2200625\i\4500 001468177 001__ 1468177 001468177 003__ OCoLC 001468177 005__ 20230707003358.0 001468177 006__ m\\\\\o\\d\\\\\\\\ 001468177 007__ cr\cn\nnnunnun 001468177 008__ 230525s2023\\\\gw\a\\\\o\\\\\000\0\eng\d 001468177 019__ $$a1379426771 001468177 020__ $$a9783658402327$$q(electronic bk.) 001468177 020__ $$a3658402326$$q(electronic bk.) 001468177 020__ $$z9783658402310 001468177 020__ $$z3658402318 001468177 0247_ $$a10.1007/978-3-658-40232-7$$2doi 001468177 035__ $$aSP(OCoLC)1380358687 001468177 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX 001468177 049__ $$aISEA 001468177 050_4 $$aHD4901 001468177 08204 $$a338/.064$$223/eng/20230525 001468177 24500 $$aWork and AI 2030 :$$bchallenges and strategies for tomorrow's work /$$cInka Knappertsbusch, Kai Gondlach, editors. 001468177 264_1 $$aWiesbaden :$$bSpringer,$$c[2023] 001468177 264_4 $$c©2023 001468177 300__ $$a1 online resource (xv, 381 pages) :$$billustrations 001468177 336__ $$atext$$btxt$$2rdacontent 001468177 337__ $$acomputer$$bc$$2rdamedia 001468177 338__ $$aonline resource$$bcr$$2rdacarrier 001468177 5050_ $$aThe specter of German Angst: Are we too skeptical for AI development? -- Practice Guide AI = Collaborative and Interdisciplinary -- Future Collaboration between Humans and Artificial Intelligence -- Innovation and Startups.Artificial Intelligence Demands Corporate Digital Responsibility -- AI Ethics and Neuroethics Advance Relational AI Discourse -- Digital Product Monitoring Obligations for Smart Products -- The Use of AI-Based Speech Analysis in the Job Application Process -- Individual Legal Issues in the Use of AI.AI in the Enterprise: Is the employer liable or the AI as an e-person? -- The works council's right of co-determination under Section 87 (1) No. 6 BetrVG in the use of AI systems in the company -- Data protection law assessment of predictive policing in the employment relationship -- Legal requirements for AI decisions in administration and the judiciary -- Intelligent IT systems in the company -- Successful implementation of AI in the enterprise -- Responsible and robust AI in enterprises -- AI as a driver of hybrid forms of employment -- The future of financial planning in enterprises -- Potentials of AI for production -- The grassroots movement of artificial intelligence -- Employment effects emanating from AI and the changes in work organization -- : Opportunities of AI for work design in the manufacturing industry -- The role of humans in the context of sovereign data spaces.AI in the skilled trades -- Potentials in the field of mobility through mathematical methods of artificial intelligence -- How AI enables business models and gives rise to job profiles -- Industrial AI - Smart Factories and Team Robotic .AI in the automotive industry.AI in the rail sector.AI as an opportunity for the future airline business.AI in intralogistics.Through AI, medicine becomes more efficient, individualized and preventive -- : AI in the clinical treatment pathway -- To make medicine that no human has ever seen before.AI in the healthcare market -- Data-based innovations in the healthcare sector and strategic preparation of renowned global IT companies -- : AI add-on qualification.Educational Technology and AI -- Artificial Intelligence in Continuing Education of the Future.AI in Vocational Rehabilitation - Intelligent Assistance for People with Disabilities. 001468177 506__ $$aAccess limited to authorized users. 001468177 520__ $$aIn ten years, working with artificial intelligence (AI) will be just as much a part of our everyday lives as using a cell phone is today. 78 recognized experts from the worlds of practice and research provide deep insights and outlooks regarding the influence of AI on everyday working life in 2030, explaining with practical tips how you can prepare for this development. The 41 concise articles cover a broad spectrum in each area examined. Their standardized structure offers a summary of the status quo, concrete examples, future expectations, an overview of challenges and possible solutions, and practical tips. The volume begins with societal and ethical issues before discussing legal considerations for employers and HR professionals, as well as those working in the judicial system. The other chapters examine the impact of AI on the world of work in 2030 in the sectors of business, industry, mobility and logistics, medicine and pharmaceuticals, and (further) education. The editors Inka Knappertsbusch is a lawyer in the area of labor and employment law and employee data protection at the international law firm CMS Germany. She is passionate about hot topics of the future such as the impact of legal tech and artificial intelligence on the employment relationship. Her clients include international corporations as well as medium-sized companies. Kai Gondlach holds a degree in sociology, political/administrative science and futurology. His research centers on three areas in particular: digitalization & AI, working environments & education, and climate & sustainability. The results inspire his keynote lectures, scientific papers, his podcast as well as his own blog. 001468177 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed May 25, 2023). 001468177 650_0 $$aLabor$$xSocial aspects. 001468177 650_0 $$aInformation technology$$xManagement. 001468177 650_0 $$aArtificial intelligence$$xIndustrial applications. 001468177 650_0 $$aArtificial intelligence$$xLaw and legislation. 001468177 655_0 $$aElectronic books. 001468177 7001_ $$aKnappertsbusch, Inka,$$eeditor. 001468177 7001_ $$aGondlach, Kai,$$eeditor. 001468177 77608 $$iPrint version: $$z3658402318$$z9783658402310$$w(OCoLC)1352964000 001468177 852__ $$bebk 001468177 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-658-40232-7$$zOnline Access$$91397441.1 001468177 909CO $$ooai:library.usi.edu:1468177$$pGLOBAL_SET 001468177 980__ $$aBIB 001468177 980__ $$aEBOOK 001468177 982__ $$aEbook 001468177 983__ $$aOnline 001468177 994__ $$a92$$bISE