Work and AI 2030 : challenges and strategies for tomorrow's work / Inka Knappertsbusch, Kai Gondlach, editors.
Knappertsbusch, Inka, editor.; Gondlach, Kai, editor.
2023
HD4901
Available Online

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Title Work and AI 2030 : challenges and strategies for tomorrow's work / Inka Knappertsbusch, Kai Gondlach, editors.
ISBN 9783658402327 (electronic bk.)
3658402326 (electronic bk.)
9783658402310
3658402318
DOI https://doi.org/10.1007/978-3-658-40232-7
Published Wiesbaden : Springer, [2023]
Copyright ©2023
Language English
Description 1 online resource (xv, 381 pages) : illustrations
Other Standard Identifiers 10.1007/978-3-658-40232-7 doi
Call Number HD4901
Dewey Decimal Classification 338/.064
Summary In 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.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed May 25, 2023).
Added Author Knappertsbusch, Inka, editor.
Gondlach, Kai, editor.
Available in Other Form Print version: 9783658402310
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The 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.

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